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SBI
AI Scams AI technology Cyber Security Deepfake deepfake scams deepfake videos Investment Scam SBI

SBI Issues Urgent Warning Against Deepfake Scam Videos Promoting Fake Investment Schemes

 

The State Bank of India (SBI) has issued an urgent public advisory warning customers and the general public about the rising threat of deepfake scam videos. These videos, circulating widely on social media, falsely claim that SBI has launched an AI-powered investment scheme in collaboration with the Government of India and multinational corporations—offering unusually high returns. 

SBI categorically denied any association with such platforms and urged individuals to verify investment-related information through its official website, social media handles, or local branches. The bank emphasized that it does not endorse or support any investment services that promise guaranteed or unrealistic returns. 

In a statement published on its official X (formerly Twitter) account, SBI stated: “State Bank of India cautions all its customers and the general public about many deepfake videos being circulated on social media, falsely claiming the launch of an AI-based platform showcasing lucrative investment schemes supported by SBI in association with the Government of India and some multinational companies. These videos misuse technology to create false narratives and deceive people into making financial commitments in fraudulent schemes. We clarify that SBI does not endorse any such schemes that promise unrealistic or unusually high returns.” 

Deepfake technology, which uses AI to fabricate convincing videos by manipulating facial expressions and voices, has increasingly been used to impersonate public figures and create fake endorsements. These videos often feature what appear to be real speeches or statements by senior officials or celebrities, misleading viewers into believing in illegitimate financial products. This isn’t an isolated incident. Earlier this year, a deepfake video showing India’s Union Finance Minister allegedly promoting an investment platform was debunked by the government’s PIB Fact Check. 

The video, which falsely claimed that viewers could earn a steady daily income through the platform, was confirmed to be digitally altered. SBI’s warning is part of a broader effort to combat the misuse of emerging technologies for financial fraud. The bank is urging everyone to remain cautious and to avoid falling prey to such digital deceptions. Scammers are increasingly using advanced AI tools to exploit public trust and create a false sense of legitimacy. 

To protect themselves, customers are advised to verify any financial information or offers through official SBI channels. Any suspicious activity or misleading promotional material should be reported immediately. SBI’s proactive communication reinforces its commitment to safeguarding customers in an era where financial scams are becoming more sophisticated. The bank’s message is clear: do not trust any claims about investment opportunities unless they come directly from verified, official sources.
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Silicon Valley
AI generated Deepfake AI Security AI technology AI Tool Breach attack Cyber Security Hacker attack Silicon Valley

Silicon Valley Crosswalk Buttons Hacked With AI Voices Mimicking Tech Billionaires

 

A strange tech prank unfolded across Silicon Valley this past weekend after crosswalk buttons in several cities began playing AI-generated voice messages impersonating Elon Musk and Mark Zuckerberg.  

Pedestrians reported hearing bizarre and oddly personal phrases coming from audio-enabled crosswalk systems in Menlo Park, Palo Alto, and Redwood City. The altered voices were crafted to sound like the two tech moguls, with messages that ranged from humorous to unsettling. One button, using a voice resembling Zuckerberg, declared: “We’re putting AI into every corner of your life, and you can’t stop it.” Another, mimicking Musk, joked about loneliness and buying a Cybertruck to fill the void.  

The origins of the incident remain unknown, but online speculation points to possible hacktivism—potentially aimed at critiquing Silicon Valley’s AI dominance or simply poking fun at tech culture. Videos of the voice spoof spread quickly on TikTok and X, with users commenting on the surreal experience and sarcastically suggesting the crosswalks had been “venture funded.” This situation prompts serious concern. 

Local officials confirmed they’re investigating the breach and working to restore normal functionality. According to early reports, the tampering may have taken place on Friday. These crosswalk buttons aren’t new—they’re part of accessibility technology designed to help visually impaired pedestrians cross streets safely by playing audio cues. But this incident highlights how vulnerable public infrastructure can be to digital interference. Security researchers have warned in the past that these systems, often managed with default settings and unsecured firmware, can be compromised if not properly protected. 

One expert, physical penetration specialist Deviant Ollam, has previously demonstrated how such buttons can be manipulated using unchanged passwords or open ports. Polara, a leading manufacturer of these audio-enabled buttons, did not respond to requests for comment. The silence leaves open questions about how widespread the vulnerability might be and what cybersecurity measures, if any, are in place. This AI voice hack not only exposed weaknesses in public technology but also raised broader questions about the blending of artificial intelligence, infrastructure, and data privacy. 

What began as a strange and comedic moment at the crosswalk is now fueling a much larger conversation about the cybersecurity risks of increasingly connected cities. With AI becoming more embedded in daily life, events like this might be just the beginning of new kinds of public tech disruptions.
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Misinformation
AI Fraud AI Platform AI Scams AI technology AI tools Cyber Security data security Fake Documents Generative AI Identity Theft Misinformation

Generative AI Fuels Identity Theft, Aadhaar Card Fraud, and Misinformation in India

 

A disturbing trend is emerging in India’s digital landscape as generative AI tools are increasingly misused to forge identities and spread misinformation. One user, Piku, revealed that an AI platform generated a convincing Aadhaar card using only a name, birth date, and address—raising serious questions about data security. While AI models typically do not use real personal data, the near-perfect replication of government documents hints at training on real-world samples, possibly sourced from public leaks or open repositories. 

This AI-enabled fraud isn’t occurring in isolation. Criminals are combining fake document templates with authentic data collected from discarded paperwork, e-waste, and old printers. The resulting forged identities are realistic enough to pass basic checks, enabling SIM card fraud, bank scams, and more. What started as tools for entertainment and productivity now pose serious risks. Misinformation tactics are evolving too. 

A recent incident involving playback singer Shreya Ghoshal illustrated how scammers exploit public figures to push phishing links. These fake stories led users to malicious domains targeting them with investment scams under false brand names like Lovarionix Liquidity. Cyber intelligence experts traced these campaigns to websites built specifically for impersonation and data theft. The misuse of generative AI also extends into healthcare fraud. 

In a shocking case, a man impersonated renowned cardiologist Dr. N John Camm and performed unauthorized surgeries at a hospital in Madhya Pradesh. At least two patient deaths were confirmed between December 2024 and February 2025. Investigators believe the impersonator may have used manipulated or AI-generated credentials to gain credibility. Cybersecurity professionals are urging more vigilance. CertiK founder Ronghui Gu emphasizes that users must understand the risks of sharing biometric data, like facial images, with AI platforms. Without transparency, users cannot be sure how their data is used or whether it’s shared. He advises precautions such as using pseudonyms, secondary emails, and reading privacy policies carefully—especially on platforms not clearly compliant with regulations like GDPR or CCPA. 

A recent HiddenLayer report revealed that 77% of companies using AI have already suffered security breaches. This underscores the need for robust data protection as AI becomes more embedded in everyday processes. India now finds itself at the center of an escalating cybercrime wave powered by generative AI. What once seemed like harmless innovation now fuels identity theft, document forgery, and digital misinformation. The time for proactive regulation, corporate accountability, and public awareness is now—before this new age of AI-driven fraud becomes unmanageable.
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HR Department
Ai Data AI technology AI tools Cyber Security Data Services Data Technology GenAI HR Department

How GenAI Is Revolutionizing HR Analytics for CHROs and Business Leaders

 

Generative AI (GenAI) is redefining how HR leaders interact with data, removing the steep learning curve traditionally associated with people analytics tools. When faced with a spike in hourly employee turnover, Sameer Raut, Vice President of HRIS at Sunstate Equipment, didn’t need to build a custom report or consult data scientists. Instead, he typed a plain-language query into a GenAI-powered chatbot: 

“What are the top reasons for hourly employee terminations in the past 12 months?” Within seconds, he had his answer. This shift in how HR professionals access data marks a significant evolution in workforce analytics. Tools powered by large language models (LLMs) are now integrated into leading analytics platforms such as Visier, Microsoft Power BI, Tableau, Qlik, and Sisense. These platforms are leveraging GenAI to interpret natural language questions and deliver real-time, actionable insights without requiring technical expertise. 

One of the major advantages of GenAI is its ability to unify fragmented HR data sources. It streamlines data cleansing, ensures consistency, and improves the accuracy of workforce metrics like headcount growth, recruitment gaps, and attrition trends. As Raut notes, tools like Visier’s GenAI assistant “Vee” allow him to make quick decisions during meetings, helping HR become more responsive and strategic. This evolution is particularly valuable in a landscape where 39% of HR leaders cite limited analytics expertise as their biggest challenge, according to a 2023 Aptitude Research study. 

GenAI removes this barrier by enabling intuitive data exploration across familiar platforms like Slack and Microsoft Teams. Frontline managers who may never open a BI dashboard can now access performance metrics and workforce trends instantly. Experts believe this transformation is just beginning. While some analytics platforms are still improving their natural language processing capabilities, others are leading with more advanced and user-friendly GenAI chatbots. 

These tools can even create automated visualizations and summaries tailored to executive audiences, enabling CHROs to tell compelling data stories during high-level meetings. However, this transformation doesn’t come without risk. Data privacy remains a top concern, especially as GenAI tools engage with sensitive workforce data. HR leaders must ensure that platforms offer strict entitlement management and avoid training AI models on private customer data. Providers like Visier mitigate these risks by training their models solely on anonymized queries rather than real-world employee information. 

As GenAI continues to evolve, it’s clear that its role in HR will only expand. From democratizing access to HR data to enhancing real-time decision-making and storytelling, this technology is becoming indispensable for organizations looking to stay agile and informed.
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Technology
AI AI technology Airbnb LLM Technology

AI Powers Airbnb’s Code Migration, But Human Oversight Still Key, Say Tech Giants

 

In a bold demonstration of AI’s growing role in software development, Airbnb has successfully completed a large-scale code migration project using large language models (LLMs), dramatically reducing the timeline from an estimated 1.5 years to just six weeks. The project involved updating approximately 3,500 React component test files from Enzyme to the more modern React Testing Library (RTL). 

According to Airbnb software engineer Charles Covey-Brandt, the company’s AI-driven pipeline used a combination of automated validation steps and frontier LLMs to handle the bulk of the transformation. Impressively, 75% of the files were migrated within just four hours, thanks to robust automation and intelligent retries powered by dynamic prompt engineering with context-rich inputs of up to 100,000 tokens. 

Despite this efficiency, about 900 files initially failed validation. Airbnb employed iterative tools and a status-tracking system to bring that number down to fewer than 100, which were finally resolved manually—underscoring the continued need for human intervention in such processes. Other tech giants echo this hybrid approach. Google, in a recent report, noted a 50% speed increase in migrating codebases using LLMs. 

One project converting ID types in the Google Ads system—originally estimated to take hundreds of engineering years—was largely automated, with 80% of code changes authored by AI. However, inaccuracies still required manual edits, prompting Google to invest further in AI-powered verification. Amazon Web Services also highlighted the importance of human-AI collaboration in code migration. 

Its research into modernizing Java code using Amazon Q revealed that developers value control and remain cautious of AI outputs. Participants emphasized their role as reviewers, citing concerns about incorrect or misleading changes. While AI is accelerating what were once laborious coding tasks, these case studies reveal that full autonomy remains out of reach. 

Engineers continue to act as crucial gatekeepers, validating and refining AI-generated code. For now, the future of code migration lies in intelligent partnerships—where LLMs do the heavy lifting and humans ensure precision.
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encryption technology
AI Privacy AI Systems AI technology AI Tool Cryptography Cyber Security Data Privacy Deep Learning encryption technology

Orion Brings Fully Homomorphic Encryption to Deep Learning for AI Privacy

 

As data privacy becomes an increasing concern, a new artificial intelligence (AI) encryption breakthrough could transform how sensitive information is handled. Researchers Austin Ebel, Karthik Garimella, and Assistant Professor Brandon Reagen have developed Orion, a framework that integrates fully homomorphic encryption (FHE) into deep learning. 

This advancement allows AI systems to analyze encrypted data without decrypting it, ensuring privacy throughout the process. FHE has long been considered a major breakthrough in cryptography because it enables computations on encrypted information while keeping it secure. However, applying this method to deep learning has been challenging due to the heavy computational requirements and technical constraints. Orion addresses these challenges by automating the conversion of deep learning models into FHE-compatible formats. 

The researchers’ study, recently published on arXiv and set to be presented at the 2025 ACM International Conference on Architectural Support for Programming Languages and Operating Systems, highlights Orion’s ability to make privacy-focused AI more practical. One of the biggest concerns in AI today is that machine learning models require direct access to user data, raising serious privacy risks. Orion eliminates this issue by allowing AI to function without exposing sensitive information. The framework is built to work with PyTorch, a widely used machine learning library, making it easier for developers to integrate FHE into existing models. 

Orion also introduces optimization techniques that reduce computational burdens, making privacy-preserving AI more efficient and scalable. Orion has demonstrated notable performance improvements, achieving speeds 2.38 times faster than previous FHE deep learning methods. The researchers successfully implemented high-resolution object detection using the YOLO-v1 model, which contains 139 million parameters—a scale previously considered impractical for FHE. This progress suggests Orion could enable encrypted AI applications in sectors like healthcare, finance, and cybersecurity, where protecting user data is essential. 

A key advantage of Orion is its accessibility. Traditional FHE implementations require specialized knowledge, making them difficult to adopt. Orion simplifies the process, allowing more developers to use the technology without extensive training. By open-sourcing the framework, the research team hopes to encourage further innovation and adoption. As AI continues to expand into everyday life, advancements like Orion could help ensure that technological progress does not come at the cost of privacy and security.
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enterprise cybersecurity
AI Chatbots AI Risks AI technology Chatbots ChatGPT. OpenAI Cyber Security data security DeepSeek enterprise cybersecurity

DeepSeek AI: Benefits, Risks, and Security Concerns for Businesses

 

DeepSeek, an AI chatbot developed by China-based High-Flyer, has gained rapid popularity due to its affordability and advanced natural language processing capabilities. Marketed as a cost-effective alternative to OpenAI’s ChatGPT, DeepSeek has been widely adopted by businesses looking for AI-driven insights. 

However, cybersecurity experts have raised serious concerns over its potential security risks, warning that the platform may expose sensitive corporate data to unauthorized surveillance. Reports suggest that DeepSeek’s code contains embedded links to China Mobile’s CMPassport.com, a registry controlled by the Chinese government. This discovery has sparked fears that businesses using DeepSeek may unknowingly be transferring sensitive intellectual property, financial records, and client communications to external entities. 

Investigative findings have drawn parallels between DeepSeek and TikTok, the latter having faced a U.S. federal ban over concerns regarding Chinese government access to user data. Unlike TikTok, however, security analysts claim to have found direct evidence of DeepSeek’s potential backdoor access, raising further alarms among cybersecurity professionals. Cybersecurity expert Ivan Tsarynny warns that DeepSeek’s digital fingerprinting capabilities could allow it to track users’ web activity even after they close the app. 

This means companies may be exposing not just individual employee data but also internal business strategies and confidential documents. While AI-driven tools like DeepSeek offer substantial productivity gains, business leaders must weigh these benefits against potential security vulnerabilities. A complete ban on DeepSeek may not be the most practical solution, as employees often adopt new AI tools before leadership can fully assess their risks. Instead, organizations should take a strategic approach to AI integration by implementing governance policies that define approved AI tools and security measures. 

Restricting DeepSeek’s usage to non-sensitive tasks such as content brainstorming or customer support automation can help mitigate data security concerns. Enterprises should prioritize the use of vetted AI solutions with stronger security frameworks. Platforms like OpenAI’s ChatGPT Enterprise, Microsoft Copilot, and Claude AI offer greater transparency and data protection. IT teams should conduct regular software audits to monitor unauthorized AI use and implement access restrictions where necessary. 

Employee education on AI risks and cybersecurity threats will also be crucial in ensuring compliance with corporate security policies. As AI technology continues to evolve, so do the challenges surrounding data privacy. Business leaders must remain proactive in evaluating emerging AI tools, balancing innovation with security to protect corporate data from potential exploitation.
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Hacking
AI technology AI Threat CrowdStrike Cyber Security cyber threat CyberCrime cybercriminals Hacking

Cybercrime in 2025: AI-Powered Attacks, Identity Exploits, and the Rise of Nation-State Threats

 


Cybercrime has evolved beyond traditional hacking, transforming into a highly organized and sophisticated industry. In 2025, cyber adversaries — ranging from financially motivated criminals to nation-state actors—are leveraging AI, identity-based attacks, and cloud exploitation to breach even the most secure organizations. The 2025 CrowdStrike Global Threat Report highlights how cybercriminals now operate like businesses. 

One of the fastest-growing trends is Access-as-a-Service, where initial access brokers infiltrate networks and sell entry points to ransomware groups and other malicious actors. The shift from traditional malware to identity-based attacks is accelerating, with 79% of observed breaches relying on valid credentials and remote administration tools instead of malicious software. Attackers are also moving faster than ever. Breakout times—the speed at which cybercriminals move laterally within a network after breaching it—have hit a record low of just 48 minutes, with the fastest observed attack spreading in just 51 seconds. 

This efficiency is fueled by AI-driven automation, making intrusions more effective and harder to detect. AI has also revolutionized social engineering. AI-generated phishing emails now have a 54% click-through rate, compared to just 12% for human-written ones. Deepfake technology is being used to execute business email compromise scams, such as a $25.6 million fraud involving an AI-generated video. In a more alarming development, North Korean hackers have used AI to create fake LinkedIn profiles and manipulate job interviews, gaining insider access to corporate networks. 

The rise of AI in cybercrime is mirrored by the increasing sophistication of nation-state cyber operations. China, in particular, has expanded its offensive capabilities, with a 150% increase in cyber activity targeting finance, manufacturing, and media sectors. Groups like Vanguard Panda are embedding themselves within critical infrastructure networks, potentially preparing for geopolitical conflicts. 

As traditional perimeter security becomes obsolete, organizations must shift to identity-focused protection strategies. Cybercriminals are exploiting cloud vulnerabilities, leading to a 35% rise in cloud intrusions, while access broker activity has surged by 50%, demonstrating the growing value of stolen credentials. 

To combat these evolving threats, enterprises must adopt new security measures. Continuous identity monitoring, AI-driven threat detection, and cross-domain visibility are now critical. As cyber adversaries continue to innovate, businesses must stay ahead—or risk becoming the next target in this rapidly evolving digital battlefield.
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