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Technology
Cyberhackers Cybersecurity CyberThreat Gmail Google Google Drive Google Meet Technology

Gmail Upgrade Announced by Google with Three Billion Users Affected

 


The Google team has officially announced the launch of a major update to Gmail, which will enhance functionality, improve the user experience, and strengthen security. It is anticipated that this update to one of the world’s most commonly used email platforms will have a significant impact on both individuals as well as businesses, providing a more seamless, efficient, and secure way to manage digital communications for individuals and businesses alike.

The Gmail email service, which was founded in 2004 and has consistently revolutionized the email industry with its extensive storage, advanced features, and intuitive interface, has continuously revolutionized the email industry. In recent years, it has grown its capabilities by integrating with Google Drive, Google Chat, and Google Meet, thus strengthening its position within the larger Google Workspace ecosystem by extending its capabilities. 

The recent advancements from Google reflect the company’s commitment to innovation and leadership in the digital communication technology sector, particularly as the competitive pressures intensify in the email and productivity services sector. Privacy remains a crucial concern as the digital world continues to evolve. Google has stressed the company’s commitment to safeguarding user data, and is ensuring that user privacy remains of the utmost importance. 

In a statement released by the company, it was stated that the new tool could be managed through personalization settings, so users would be able to customize their experience according to their preferences, allowing them to tailor their experience accordingly. 

However, industry experts suggest that users check their settings carefully to ensure their data is handled in a manner that aligns with their privacy expectations, despite these assurances. Those who are seeking to gain a greater sense of control over their personal information may find it prudent to disable AI training features. In particular, this measured approach is indicative of broader discussions regarding the trade-off between advanced functionality and data privacy, especially as the competition from Microsoft and other major technology companies continues to gain ground. 

Increasingly, AI-powered services are analyzing user data and this has raised concerns about privacy and data security, which has led to a rise in privacy concerns. Chrome search histories, for example, offer highly personal insights into a person’s search patterns, as well as how those searches are phrased. As long as users grant permission to use historical data, the integration of AI will allow the company to utilize this historical data to create a better user experience.

It is also important to remember, however, that this technology is not simply a tool for executive assistants, but rather an extremely sophisticated platform that is operated by one of the largest digital marketing companies in the world. In the same vein, Microsoft's recent approach to integrating artificial intelligence with its services has created a controversy about user consent and data access, leading users to exercise caution and remain vigilant.

According to PC World, Copilot AI, the company's software for analyzing files stored on OneDrive, now has an automatic opt-in option. Users may not have been aware that this feature, introduced a few months ago, allowed them to consent to its use before the change. It has been assured that users will have full Although users have over their data they have AI-driven access to cloud-stored files, the transparency of such integrations is s being questioned as well as the extent of their data. There remain many concerns among businesses that are still being questioned. Businesses remain concerned aboutness, specifically about privacy issues.

The results of Global Data (cited by Verdict) indicate that more than 75% of organizations are concerned about these risks, contributing to a slowdown in the adoption of artificial intelligence. A study also indicates that 59% of organizations lack confidence in integrating artificial intelligence into their operations, with only 21% reporting an extensive or very extensive deployment of artificial intelligence. 

In the same way that individual users struggle to keep up with the rapid evolution of artificial intelligence technologies, businesses are often unaware of the security and privacy threats that these innovations pose. As a consequence, industry experts advise organizations to prioritize governance and control mechanisms before adopting AI-based solutions to maintain control over their data. CISOs (chief information security officers) might need to adopt a more cautious approach to mitigate potential risks, such as restricting AI adoption until comprehensive safeguards have been implemented. 

The introduction of AI-powered innovations is often presented as seamless and efficient tools, but they are supported by extensive frameworks for collecting and analyzing data. For these systems to work effectively, they must have well-defined policies in place that protect sensitive data from being exposed or misused. As AI adoption continues to grow, the importance of stringent regulation and corporate oversight will only increase. 

To improve the usability, security and efficiency of Gmail, as well as make it easier for both individuals and businesses, Google's latest update has been introduced to the Gmail platform. There are several features included in this update, including AI-driven features, improved interfaces, and improved search capabilities, which will streamline email management and strengthen security against cybersecurity threats. 

By integrating Google Workspace deeper, businesses will benefit from improved security measures that safeguard sensitive information while enabling teams to work more efficiently and effectively. This will allow businesses to collaborate more seamlessly while reducing cybersecurity risks. The improvements added by Google to Gmail allow it to be a critical tool within corporate environments, enhancing productivity, communication, and teamwork. With this update, Google confirms Gmail's reputation as a leading email and productivity tool. 

In addition to optimizing the user experience, integrating intelligent automation, strengthening security protocols, and expanding collaborative features, the platform maintains its position as a leading digital communication platform. During the rollout over the coming months, users can expect a more robust and secure email environment that keeps pace with the changing demands of today's digital interactions as the rollout progresses.
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Threat Intelligence
AI AI Tool Data Privacy Technology Threat Intelligence

AI and Privacy – Issues and Challenges

 

Artificial intelligence is changing cybersecurity and digital privacy. It promises better security but also raises concerns about ethical boundaries, data exploitation, and spying. From facial recognition software to predictive crime prevention, customers are left wondering where to draw the line between safety and overreach as AI-driven systems become more and more integrated into daily life.

The same artificial intelligence (AI) tools that aid in spotting online threats, optimising security procedures, and stopping fraud can also be used for intrusive data collecting, behavioural tracking, and mass spying. The use of AI-powered surveillance in corporate data mining, law enforcement profiling, and government tracking has drawn criticism in recent years. AI runs the potential of undermining rather than defending basic rights in the absence of clear regulations and transparency. 

AI and data ethics

Despite encouraging developments, there are numerous instances of AI-driven inventions going awry, which raise serious questions. A face recognition business called Clearview AI amassed one of the largest facial recognition databases in the world by illegally scraping billions of photos from social media. Clearview's technology was employed by governments and law enforcement organisations across the globe, leading to legal action and regulatory action about mass surveillance. 

The UK Department for Work and Pensions used an AI system to detect welfare fraud. An internal investigation suggested that the system disproportionately targeted people based on their age, handicap, marital status, and country. This prejudice resulted in certain groups being unfairly picked for fraud investigations, raising questions about discrimination and the ethical use of artificial intelligence in public services. Despite earlier guarantees of impartiality, the findings have fuelled calls for increased openness and supervision in government AI use. 

Regulations and consumer protection

The ethical use of AI is being regulated by governments worldwide, with a number of significant regulations having an immediate impact on consumers. The AI Act of the European Union, which is scheduled to go into force in 2025, divides AI applications into risk categories. 

Strict regulations will be applied to high-risk technology, like biometric surveillance and facial recognition, to guarantee transparency and moral deployment. The EU's commitment to responsible AI governance is further reinforced by the possibility of severe sanctions for non compliant companies. 

Individuals in the United States have more control over their personal data according to California's Consumer Privacy Act. Consumers have the right to know what information firms gather about them, to seek its erasure, and to opt out of data sales. This rule adds an important layer of privacy protection in an era where AI-powered data processing is becoming more common. 

The White House has recently introduced the AI Bill of Rights, a framework aimed at encouraging responsible AI practices. While not legally enforceable, it emphasises the need of privacy, transparency, and algorithmic fairness, pointing to a larger push for ethical AI development in policy making.
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Technology
Cloud Ownership Cloud Services CyberCrime Cybersecurity CyberThreat Deglobalization Technology

The Future of Cloud Ownership Amid Deglobalization

 


Modern digital landscapes have become increasingly challenging for data management because of the rapid expansion of data volumes and sources. Organizations have to navigate the complexities of storing a vast amount of data while ensuring seamless access for a variety of users, regardless of their location in the world. It has become increasingly important to manage data efficiently due to the increased demand for real-time data availability and the need to maintain stringent security measures. 

The growing need for real-time data availability has resulted in the need for efficient data management. Many enterprises are turning to cloud computing as a reliable solution to address these challenges. Cloud-based systems offer the flexibility needed to accommodate diverse access needs while maintaining the integrity and security of the data. A business can streamline its operation, improve collaboration, and develop scalable data management strategies tailored to the needs of its customers by leveraging cloud technologies.

To make the most of cloud services, a comprehensive understanding of cloud data management principles is needed to effectively utilize cloud services for complex business needs. To maximize the benefits of cloud solutions, it is essential to maintain knowledge of industry best practices, adopt advanced security measures, and learn from successful implementations in order to maximize their potential. In a world where organizations are constantly embracing digital transformation, the cloud remains one of the most effective and efficient ways to manage data while ensuring efficiency, security, and long-term sustainability. 

According to a comprehensive analysis of global trends, a noticeable shift has been witnessed toward conservative governance and a retreat from globalization. Increasingly, nations are emphasizing self-reliance as a result of economic, security, and social concerns. In order to reduce dependency on foreign entities, they are concentrating on strengthening their domestic industries. In this sense, this transition reflects a wider trend towards economic nationalism, in which governments seek to preserve their interests by utilizing their local resources and capabilities in order to protect themselves. 

Among the many challenges faced by this shift in data management and cloud computing are infrastructure, security, and accessibility issues that are very important. It is important to understand that even though the cloud is perceived by many as a borderless, abstract entity, it is fundamentally based on physical data centres strategically located across the globe. Organizations carefully select these data centers to enhance performance, decrease latency, and deliver seamless service by placing data closer to end users.

A key challenge for businesses and policy makers as deglobalization takes hold is balancing the need for efficiency with evolving regulatory and geopolitical constraints, as well as the increasing need for deglobalization to succeed. The ability to maintain the integrity, security, and compliance of data in cloud environments requires effective cloud data governance. As a result of this framework, data collection, storage, protection, and utilization across various cloud platforms are overseen by a set of structured policies, regulations, and procedures.

By implementing the combination of best practices and advanced technologies, organizations can ensure that the quality and security of their data are maintained regardless of the physical location in which the information is stored or the cloud provider in which it is hosted. In the context of cloud data governance, the primary objective is to enhance the security of the data by enforcing stringent access controls, encryption protocols, and continuous auditing measures, which are designed to enhance data security. 

Cloud-based infrastructures have become increasingly popular as they distribute data across multiple locations, and safeguarding sensitive data from unauthorized access, breaches, and cyber threats becomes progressively more important. Besides ensuring the protection of organizational assets, strong security policies foster trust among customers and stakeholders. Additionally, regulation compliance remains a fundamental aspect of cloud data governance. Among all the companies operating across many industries and jurisdictions, a wide range of laws are important to follow, such as GDPR, CCPA, and HIPAA. With a well-defined governance framework, companies are able to navigate the complex world of global regulatory requirements, ensuring that all data management practices are aligned with legal and industry specific standards so they are not exposed to legal and regulatory penalties. 

In this increasingly data-driven world, companies can reduce risks, avoid legal penalties, and enhance operational efficiency by integrating compliance strategies into cloud governance policies. An interconnected global economy traditionally relies on cross-border infrastructures for data storage and management. Nations typically store and access information through data centers located in other countries, resulting in an efficient data flow by minimizing latency and optimizing data flow that enables data to be stored and accessed.

Several companies in Europe might not use servers based in Oceania due to performance restrictions, but instead host data at intermediary locations in Southeast Asia in order to improve speed and reduce latency. However, recent geopolitical developments have begun to reshape how cloud data infrastructures are constructed. A number of international conflicts, especially after the beginning of the Ukrainian conflict, have emphasized the vulnerability of businesses that rely on foreign cloud services. As a result of sanctions imposed by the United States and allied nations on Russia, businesses operating in the region have had to rethink their dependence on data.

Other nations were prompted to take notice of the risks associated with relying on foreign digital infrastructure, which raised pressing concerns among them. A larger issue of data sovereignty has been raised as a result of these uncertainties. Relying on cloud infrastructure from a foreign country not only exposes companies and governments to potential sanctions but also imposes varying data privacy and security requirements on their business operations. As a result of this recognition of these risks, many nations have begun to prioritize the importance of self-reliance in data management, aiming to gain a greater sense of control over their digital assets through self-reliance. 

As a result of this shift towards localized cloud infrastructure, national data is being protected against external influences, regulatory risks are mitigated, and a long-term digital resilience is being strengthened. There has been a dramatic shift in the landscape of data management, from traditional, locally hosted storage solutions to more dynamic, scalable cloud-based frameworks that are becoming more popular. 

The industry standard for data storage has long been on-premises; however, with advances in cloud technologies, new alternatives have emerged that are more efficient, secure, and affordable. As organizations realize the benefits of cloud computing, conventional storage methods are gradually being replaced by cloud computing. It is expected that digital transformation will result in an increase in the number of enterprises migrating their data management systems to the cloud over the next few years. 

The transition to this new technology does not only result from technological developments, but it is also a strategic necessity to remain competitive in a rapidly evolving environment of business. In today's fast-paced business environment, data has become one of the most crucial assets for decision-making, operational efficiency, and innovation, which emphasizes the need for organizations to implement robust and scalable strategies for managing data. 

With the continued evolution of industries, it is increasingly important that organizations ensure that they have a well-structured and efficient data management framework to ensure long-term success. As the data-driven world becomes increasingly data-driven, these companies will be better able to adapt to market shifts, enhance their overall business agility, and leverage real-time analytics through the use of cloud-based technology solutions, enhancing their competitiveness in the increasingly data-driven world.
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Technology
Artificial Intelligence Criminal Breach European Union Europol Technology

AI Technology is Helping Criminal Groups Grow Stronger in Europe, Europol Warns

 



The European Union’s main police agency, Europol, has raised an alarm about how artificial intelligence (AI) is now being misused by criminal groups. According to their latest report, criminals are using AI to carry out serious crimes like drug dealing, human trafficking, online scams, money laundering, and cyberattacks.

This report is based on information gathered from police forces across all 27 European Union countries. Released every four years, it helps guide how the EU tackles organized crime. Europol’s chief, Catherine De Bolle, said cybercrime is growing more dangerous as criminals use advanced digital tools. She explained that AI is giving criminals more power, allowing them to launch precise and damaging attacks on people, companies, and even governments.

Some crimes, she noted, are not just about making money. In certain cases, these actions are also designed to cause unrest and weaken countries. The report explains that criminal groups are now working closely with some governments to secretly carry out harmful activities.

One growing concern is the rise in harmful online content, especially material involving children. AI is making it harder to track and identify those responsible because fake images and videos look very real. This is making the job of investigators much more challenging.

The report also highlights how criminals are now able to trick people using technology like voice imitation and deepfake videos. These tools allow scammers to pretend to be someone else, steal identities, and threaten people. Such methods make fraud, blackmail, and online theft harder to spot.

Another serious issue is that countries are now using criminal networks to launch cyberattacks against their rivals. Europol noted that many of these attacks are aimed at important services like hospitals or government departments. For example, a hospital in Poland was recently hit by a cyberattack that forced it to shut down for several hours. Officials said the use of AI made this attack more severe.

The report warns that new technology is speeding up illegal activities. Criminals can now carry out their plans faster, reach more people, and operate in more complex ways. Europol urged countries to act quickly to tackle this growing threat.

The European Commission is planning to introduce a new security policy soon. Magnus Brunner, the EU official in charge of internal affairs, said Europe needs to stay alert and improve safety measures. He also promised that Europol will get more staff and better resources in the coming years to fight these threats.

In the end, the report makes it clear that AI is making crime more dangerous and harder to stop. Stronger cooperation between countries and better cyber defenses will be necessary to protect people and maintain safety across Europe.

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Technology
AI Security Cyber Threats Cybersecurity Strategy Data Breach human risk insider risk Phishing Attacks Technology

Over Half of Organizations Lack AI Cybersecurity Strategies, Mimecast Report Reveals

 

More than 55% of organizations have yet to implement dedicated strategies to counter AI-driven cyber threats, according to new research by Mimecast. The cybersecurity firm's latest State of Human Risk report, based on insights from 1,100 IT security professionals worldwide, highlights growing concerns over AI vulnerabilities, insider threats, and cybersecurity funding shortfalls.

The study reveals that 96% of organizations report improved risk management after adopting a formal cybersecurity strategy. However, security leaders face an increasingly complex threat landscape, with AI-powered attacks and insider risks posing significant challenges.

“Despite the complexity of challenges facing organisations—including increased insider risk, larger attack surfaces from collaboration tools, and sophisticated AI attacks—organisations are still too eager to simply throw point solutions at the problem,” said Mimecast’s human risk strategist VP, Masha Sedova. “With short-staffed IT and security teams and an unrelenting threat landscape, organisations must shift to a human-centric platform approach that connects the dots between employees and technology to keep the business secure.”

The report finds that 95% of organizations are leveraging AI for threat detection, endpoint security, and insider risk analysis. However, 81% express concerns over data leaks from generative AI (GenAI) tools. More than half lack structured strategies to combat AI-driven attacks, while 46% remain uncertain about their ability to defend against AI-powered phishing and deepfake threats.

Insider threats have surged by 43%, with 66% of IT leaders anticipating an increase in data loss from internal sources in the coming year. The report estimates that insider-driven data breaches, leaks, or theft cost an average of $13.9 million per incident. Additionally, 79% of organizations believe collaboration tools have heightened security risks, amplifying both intentional and accidental data breaches.

Despite 85% of organizations raising their cybersecurity budgets, 61% cite financial constraints as a barrier to addressing emerging threats and implementing AI-driven security solutions. The report underscores the need for increased investment in cybersecurity staffing, third-party security services, email security, and collaboration tool protection.

Although 87% of organizations conduct quarterly cybersecurity training, 33% of IT leaders remain concerned about employee mismanagement of email threats, while 27% cite security fatigue as a growing risk. 95% of organizations expect email-based cyber threats to persist in 2025, as phishing attacks continue to exploit human vulnerabilities.

Collaboration tools are expanding attack surfaces, with 44% of organizations reporting a rise in cyber threats originating from these platforms. 61% believe a cyberattack involving collaboration tools could disrupt business operations in 2025, raising concerns over data integrity and compliance.

The report highlights a shift from traditional security awareness training to proactive Human Risk Management. Notably, just 8% of employees are responsible for 80% of security incidents. Organizations are increasingly turning to AI-driven monitoring and behavioral analytics to detect and mitigate threats early. 72% of security leaders see human-centric cybersecurity solutions as essential in the next five years, signaling a shift toward advanced threat detection and risk mitigation.
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Technology
Authentication Cybersecurity Digital Identity Encryption Passkeys Passwordless Technology

Hawcx Aims to Solve Passkey Challenges with Passwordless Authentication

 


Passwords remain a staple of online security, despite their vulnerabilities. According to Verizon, nearly one-third of all reported data breaches in the past decade resulted from stolen credentials, including some of the largest cyberattacks in history.  

In response, the tech industry has championed passkeys as a superior alternative to passwords. Over 15 billion accounts now support passkey technology, with major companies such as Amazon, Apple, Google, and Microsoft driving adoption.

However, widespread adoption remains sluggish due to concerns about portability and usability. Many users find passkeys cumbersome, particularly when managing access across multiple devices.

Cybersecurity startup Hawcx is addressing these passkey limitations with its innovative authentication technology. By eliminating key storage and transmission issues, Hawcx enhances security while improving usability.

Users often struggle with passkey setup and access across devices, leading to account lockouts and costly recovery—a significant challenge for businesses. As Dan Goodin of Ars Technica highlights, while passkeys offer enhanced security, their complexity can introduce operational inefficiencies at scale.

Hawcx, founded in 2023 by Riya Shanmugam (formerly of Adobe, Google, and New Relic), along with Selva Kumaraswamy and Ravi Ramaraju, offers a platform-agnostic solution. Developers can integrate its passwordless authentication by adding just five lines of code.

Unlike traditional passkeys, Hawcx does not store or transmit private keys. Instead, it cryptographically generates private keys each time a user logs in. This method ensures compatibility with older devices that lack modern hardware for passkey support.

“We are not reinventing the wheel fundamentally in most of the processes we have built,” Shanmugam told TechCrunch.

If a user switches devices, Hawcx’s system verifies authenticity before granting access, without storing additional private keys on the new device or in the cloud. This approach differs from standard passkeys, which require syncing private keys across devices or through cloud services.

“No one is challenging beyond the foundation,” Shanmugam said. “What we are challenging is the foundation itself. We are not building on top of what passkeys as a protocol provides. We are saying this protocol comes with an insane amount of limitations for users, enterprises, and developers, and we can make it better.”

Although Hawcx has filed patents, its technology has yet to be widely deployed or independently validated—factors that could influence industry trust. However, the company recently secured $3 million in pre-seed funding from Engineering Capital and Boldcap to accelerate development and market entry.

Shanmugam revealed that Hawcx is in talks with major banks and gaming companies for pilot programs set to launch in the coming weeks. These trials, expected to run for three to six months, will help refine the technology before broader implementation. Additionally, the startup is working with cryptography experts from Stanford University to validate its approach.

“As we are rolling out passkeys, the adoption is low. It’s clear to me that as good as passkeys are and they have solved the security problem, the usability problem still remains,” Tushar Phondge, director of consumer identity at ADP, told TechCrunch.

ADP plans to pilot Hawcx’s solution to assess its effectiveness in addressing passkey-related challenges, such as device dependency and system lockups.

Looking ahead, Hawcx aims to expand its authentication platform by integrating additional security services, including document verification, live video authentication, and background checks.

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Technology
Amazon Cryptography CyberCrime CyberThreat Global Attacks Google Microsoft NIST PQC Quantum Technology

Microsoft and Amazon’s Quantum Progress Poses New Risks for Encryption

 


Microsoft, Amazon, and Google have all announced recent advances in quantum computing that are likely to accelerate the timeline for the possible obsolescence of current encryption standards. These developments indicate that it will become increasingly important to address the vulnerabilities posed by quantum computing to existing cryptographic protocols shortly. Those who are leading the way in the technological race are those who are advancing quantum computing technology, which is the most powerful technology that will be able to easily decrypt the encryption mechanisms that safeguard the internet's security and data privacy. 

On the other hand, there are researchers and cybersecurity experts who are working on the development of post-quantum cryptography (PQC) - a new generation of encryption technologies that can handle quantum system computational power with ease. A quantum-resistant encryption system must be prioritized by organisations and governments to ensure long-term security of their data and digital communications, especially as the quantum era has come closer than anticipated to being realized. 

Even though quantum decryption and quantum-resistant encryption are competing more than ever, the race for global cybersecurity infrastructure requires strategic investment and proactive measures. There has been an important advancement in quantum computing in the field, with Amazon Web Services (AWS) announcing the inaugural quantum computing chip called Ocelot, which represents a significant step in the pursuit of practical quantum computing. 

One of the most critical challenges in the field is error correction. Using Ocelot, Amazon Web Services claims that it may be possible to drastically reduce the cost of quantum error correction by as much as 90 percent, thus speeding up the process toward fault-tolerant quantum systems being realized. In the future, error correction will continue to be an important barrier to quantum computing. This is because quantum systems are inherently fragile, as well as highly susceptible to environmental disturbances, such as fluctuating temperatures, electromagnetic interference, and vibrations from the environment.

As a result of these external factors, quantum operations are exposed to a substantial amount of computational errors, which make it extremely challenging to maintain their stability and reliability. Research in quantum computing is progressing rapidly, which means innovations like Ocelot could play a crucial role in helping mitigate these challenges, paving the way for more robust and scalable quantum computing in the future. 

If a sufficiently advanced quantum computer has access to Shor's algorithm or any potential enhancements to it, it will be possible for it to decrypt existing public key encryption protocols, such as RSA 2048, within 24 hours by leveraging Shor's algorithm. With the advent of quantum computing, modern cybersecurity frameworks are going to be fundamentally disrupted, rendering current cryptographic mechanisms ineffective. 

The encryption of any encrypted data that has been unauthorizedly acquired and stored under the "harvest now, decrypt later" strategy will become fully available to those who have such quantum computing capabilities. A severe breach of internet communications, digital signatures, and financial transactions would result in severe breaches of trust in the digital ecosystem, resulting in serious losses in trust. The inevitability of this threat does not depend on the specific way by which PKE is broken, but rather on the certainty that a quantum system with sufficient power will be able to achieve this result in the first place. 

Consequently, the National Institute of Standards and Technology (NIST) has been the frontrunner in developing advanced encryption protocols designed to withstand quantum-based attacks in response to these threats. Post-quantum cryptography (PQC) is an initiative that is based on mathematical structures that are believed to be immune from quantum computational attacks, and is a product of this effort. To ensure the long-term security of digital infrastructure, PKE must be replaced with PQC. There is, however, still a limited amount of awareness of the urgency of the situation, and many stakeholders are still unaware of quantum computing's potential impact on cybersecurity, and are therefore unaware of its potential. 

As the development of quantum-resistant encryption technologies through 2025 becomes increasingly important, it will play an increasingly important role in improving our understanding of these methodologies, accelerating their adoption, and making sure our global cybersecurity standards will remain safe. For a cryptographic method to be effective, it must have computationally infeasible algorithms that cannot be broken within a reasonable period. These methods allow for secure encryption and decryption, which ensures that data is kept confidential for authorized parties. However, no encryption is completely impervious indefinitely. 

A sufficiently powerful computing machine will eventually compromise any encryption protocol. Because of this reality, cryptographic standards have continuously evolved over the past three decades, as advances in computing have rendered many previous encryption methods obsolete. For example, in the "crypto wars" of the 1990s, the 1024-bit key encryption that was at the center of the debate has long been retired and is no longer deemed adequate due to modern computational power. Nowadays, it is hardly difficult for a computer to break through that level of encryption. 

In recent years, major technology companies have announced that the ability to break encryption is poised to take a leap forward that has never been seen before. Amazon Web Services, Google, and Microsoft have announced dramatic increases in computational power facilitated by quantum computing technology. Google introduced "Willow" in December and Microsoft announced "Majorana 1" in February, which signals a dramatic rise in computational power. A few days later, Amazon announced the "Ocelot" quantum computing machine. Each of these breakthroughs represents an important and distinct step forward in the evolution of quantum computing technology, a technology that has fundamentally redefined the way that processors are designed. 

In contrast to traditional computing systems, quantum systems are based on entirely different principles, so their efficiency is exponentially higher. It is evident that advances in quantum computing are accelerating an era that will have a profound effect on encryption security and that cybersecurity practices need to be adjusted urgently to cope with these advances. In recent years, quantum computing has made tremendous strides in computing power. It has led to an extraordinary leap in computational power unmatched by any other technology. In the same manner as with any technological breakthrough that has an impact on our world, it is uncertain what it may mean. 

However, there is one aspect that is becoming increasingly clear: the computational barriers that define what is currently infeasible will be reduced to problems that can be solved in seconds, as stated by statements from Google and Microsoft. In terms of data security, this change has profound implications. It will be very easy for quantum computers to unlock encrypted information once they become widely accessible, thus making it difficult to decrypt encrypted data today. Having the capability to break modern encryption protocols within a matter of seconds poses a serious threat to digital privacy and security across industries. 

The development of quantum-resistant cryptographic solutions has been undertaken in anticipation of this eventuality. A key aspect of the Post-Quantum Cryptography (PQC) initiative has been the leadership role that NIST has been assuming since 2016, as it has played a historical role in establishing encryption standards over the years. NIST released a key milestone in global cybersecurity efforts in August when it released its first three finalized post-quantum encryption standards. 

Major technology companies, including Microsoft, Amazon Web Services (AWS), and Google, are not only contributing to the advancement of quantum computing but are also actively participating in the development of PQC solutions as well. Google has been working with NIST on developing encryption methods that can withstand quantum-based attacks. These organizations have been working together with NIST to develop encryption methods that can withstand quantum attacks. During August, Microsoft provided an update on their PQC efforts, followed by AWS and Microsoft. 

The initiatives have been in place long before the latest quantum hardware advances, yet they are a strong reminder that addressing the challenges posed by quantum computing requires a comprehensive and sustained commitment. However, establishing encryption standards does not guarantee widespread adoption, as it does not equate to widespread deployment. As part of the transition, there will be a considerable amount of time and effort involved, particularly in ensuring that it integrates smoothly into everyday applications, such as online banking and secure communications, thereby making the process more complex and time consuming. 

Because of the challenges associated with implementing and deploying new encryption technologies on a large scale, the adoption of new encryption technologies has historically spanned several years. Due to this fact, it cannot be overemphasized how urgent it is for us to prepare for a quantum era. A company's strategic planning and system design must take into account PQC considerations proactively and proactively. It has become increasingly clear that all organizations must address the issue of PQC rather than delay it. The fundamental principle remains that if the user breaks encryption, they are much more likely to break it than if they construct secure systems. 

Moreover, cryptographic implementation is a complex and error-prone process in and of itself. For the cybersecurity landscape to be successful at defending against quantum-based threats, a concerted, sustained effort must be made across all aspects. There is a lot of excitement on the horizon for encryption, both rapidly and very challenging. As quantum computing emerges, current encryption protocols face an existential threat, which means that organizations that fail to react quickly and decisively will suffer severe security vulnerabilities, so ensuring the future of digital security is imperative.
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Technology
Artificial Intelligence Caddi Seattle Technology

Seattle Startup Develops AI to Automate Office Work

 


A new startup in Seattle is working on artificial intelligence (AI) that can take over repetitive office tasks. The company, called Caddi, has recently secured $5 million in funding to expand its technology. Its goal is to reduce manual work in businesses by allowing AI to learn from human actions and create automated workflows.  

Caddi was founded by Alejandro Castellano and Aditya Sastry, who aim to simplify everyday office processes, particularly in legal and financial sectors. Instead of requiring employees to do routine administrative work, Caddi’s system records user activity and converts it into automated processes.  


How Caddi’s AI Works  

Caddi’s approach is based on a method known as “automation by demonstration.” Employees perform a task while the system records their screen and listens to their explanation. The AI then studies these recordings and creates an automated system that can carry out the same tasks without human input.  

Unlike traditional automation tools, which often require technical expertise to set up, Caddi’s technology allows anyone to create automated processes without needing programming knowledge. This makes automation more accessible to businesses that may not have in-house IT teams.  


Founders and Background  

Caddi was launched in August by Alejandro Castellano and Aditya Sastry. Castellano, originally from Peru, has experience managing financial investments and later pursued a master’s degree in engineering at Cornell University. Afterward, he joined an AI startup incubator, where he focused on developing new technology solutions.  

Sastry, on the other hand, has a background in data science and has led engineering teams at multiple startups. Before co-founding Caddi, he was the director of engineering at an insurance technology firm. The founding team also includes Dallas Slaughter, an experienced engineer.  

The company plans to grow its team to 15 employees over the next year. Investors supporting Caddi include Ubiquity Ventures, Founders’ Co-op, and AI2 Incubator. As part of the investment deal, Sunil Nagaraj, a general partner at Ubiquity Ventures, has joined Caddi’s board. He has previously invested in successful startups, including a company that was later acquired for billions of dollars.  


Competing with Other Automation Tools  

AI-powered automation is a growing industry, and Caddi faces competition from several other companies. Platforms like Zapier and Make also offer automation services, but they require users to understand concepts like data triggers and workflow mapping. In contrast, Caddi eliminates the need for manual setup by allowing AI to learn directly from user actions.  

Other competitors, such as UiPath and Automation Anywhere, rely on mimicking human interactions with software, such as clicking buttons and filling out forms. However, this method can be unreliable when software interfaces change. Caddi takes a different approach by connecting directly with software through APIs, making its automation process more stable and accurate.  


Future Plans and Industry Impact  

Caddi began testing its AI tools with a small group of users in late 2024. The company is now expanding access and plans to release its automation tools to the public as a subscription service later this year.  

As businesses look for ways to improve efficiency and reduce costs, AI-powered automation is becoming increasingly popular. However, concerns remain about the reliability and accuracy of these tools, especially in highly regulated industries. Caddi aims to address these concerns by offering a system that minimizes errors and is easier to use than traditional automation solutions.  

By allowing professionals in law, finance, and other fields to automate routine tasks, Caddi’s technology helps businesses focus on more important work. Its approach to AI-driven automation could change how companies handle office tasks, making work faster and more efficient.

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