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Cyberattackers Exploit GhostGPT for Low-Cost Malware Development

 


The landscape of cybersecurity has been greatly transformed by artificial intelligence, which has provided both transformative opportunities as well as emerging challenges. Moreover, AI-powered security tools have made it possible for organizations to detect and respond to threats much more quickly and accurately than ever before, thereby enhancing the effectiveness of their cybersecurity defenses. 

These technologies allow for the analysis of large amounts of data in real-time, the identification of anomalies, and the prediction of potential vulnerabilities, strengthening a company's overall security. Cyberattackers have also begun using artificial intelligence technologies like GhostGPT to develop low-cost malware. 

By utilizing this technology, cyberattackers can create sophisticated, evasive malware, posing a serious threat to the security of the Internet. Therefore, organizations must remain vigilant and adapt their defenses to counter these evolving tactics. However, cybercriminals also use AI technology, such as GhostGPT, to develop low-cost malware, which presents a significant threat to organizations as they evolve. By exploiting this exploitation, they can devise sophisticated attacks that can overcome traditional security measures, thus emphasizing the dual-edged nature of artificial intelligence. 

Conversely, the advent of generative artificial intelligence has brought unprecedented risks along with it. Cybercriminals and threat actors are increasingly using artificial intelligence to craft sophisticated, highly targeted attacks. AI tools that use generative algorithms can automate phishing schemes, develop deceptive content, or even build alarmingly effective malicious code. Because of its dual nature, AI plays both a shield and a weapon in cybersecurity. 

There is an increased risk associated with the use of AI tools, as bad actors can harness these technologies with a relatively low level of technical competence and financial investment, which exacerbates these risks. The current trend highlights the need for robust cybersecurity strategies, ethical AI governance, and constant vigilance to protect against misuse of AI while at the same time maximizing its defense capabilities. It is therefore apparent that the intersection between artificial intelligence and cybersecurity remains a critical concern for the industry, policymakers, and security professionals alike. 

Recently introduced AI chatbot GhostGPT has emerged as a powerful tool for cybercriminals, enabling them to develop malicious software, business email compromise scams, and other types of illegal activities through the use of this chatbot. It is GhostGPT's uniqueness that sets it apart from mainstream artificial intelligence platforms such as ChatGPT, Claude, Google Gemini, and Microsoft Copilot in that it operates in an uncensored manner, intentionally designed to circumvent standard security protocols as well as ethical requirements. 

Because of its uncensored capability, it can create malicious content easily, providing threat actors with the resources to carry out sophisticated cyberattacks with ease. It is evident from the release of GhostGPT that generative AI poses a growing threat when it is weaponized, a concern that is being heightened within the cybersecurity community. 

A tool called GhostGPT is a type of artificial intelligence that enables the development and implementation of illicit activities such as phishing, malware development, and social engineering attacks by automating these activities. A reputable AI model like ChatGPT, which integrates security protocols to prevent abuse, does not have any ethical safeguards to protect against abuse. GhostGPT operates without ethical safeguards, which allows it to generate harmful content unrestrictedly. GhostGPT is marketed as an efficient tool for carrying out many malicious activities. 

A malware development kit helps developers generate foundational code, identify and exploit software vulnerabilities, and create polymorphic malware that can bypass detection mechanisms. In addition to enhancing the sophistication and scale of email-based attacks, GhostGPT also provides the ability to create highly customized phishing emails, business email compromise templates, and fraudulent website designs that are designed to fool users. 

By utilizing advanced natural language processing, it allows you to craft persuasive malicious messages that are resistant to traditional detection mechanisms. GhostGPT offers a highly reliable and efficient method for executing sophisticated social engineering attacks that raise significant concerns regarding security and privacy. GhostGPT uses an effective jailbreak or open-source configuration to execute such attacks. ASeveralkey features are included, such as the ability to produce malicious outputs instantly by cybercriminals, as well as a no-logging policy, which prevents the storage of interaction data and ensures user anonymity. 

The fact that GhostGPT is distributed through Telegram lowers entry barriers so that even people who do not possess the necessary technical skills can use it. Consequently, this raises serious concerns about its ability to escalate cybercrime. According to Abnormal Security, a screenshot of an advertisement for GhostGPT was revealed, highlighting GhostGPT's speed, ease of use, uncensored responses, strict no-log policy, and a commitment to protecting user privacy. 

According to the advertisement, the AI chatbot can be used for tasks such as coding, malware creation, and exploit creation, while also being referred to as a scam involving business email compromise (BEC). Furthermore, GhostGPT is referred to in the advertisement as a valuable cybersecurity tool and has been used for a wide range of other purposes. However, Abnormal has criticized these claims, pointing out that GhostGPT can be found on cybercrime forums and focuses on BEC scams, which undermines its supposed cybersecurity capabilities. 

It was discovered during the testing of the chatbot by abnormal researchers that the bot had the capability of generating malicious or maliciously deceptive emails, as well as phishing emails that would fool victims into believing that the emails were genuine. They claimed that the promotional disclaimer was a superficial attempt to deflect legal accountability, which is a tactic common within the cybercrime ecosystem. In light of GhostGPT's misuse, there is a growing concern that uncensored AI tools are becoming more and more dangerous. 

The threat of rogue AI chatbots such as GhostGPT is becoming increasingly severe for security organizations because they drastically lower the entry barrier for cybercriminals. Through simple prompts, anyone, regardless of whether they possess any coding skills or not, can quickly create malicious code. Aside from this, GhostGPT improves the capabilities of individuals with existing coding experience so that they can improve malware or exploits and optimize their development. 

GhostGPT eliminates the need for time-consuming efforts to jailbreak generative AI models by providing a straightforward and efficient method of creating harmful outcomes from them. Because of this accessibility and ease of use, the potential for malicious activities increases significantly, and this has led to a growing number of cybersecurity concerns. After the disappearance of ChatGPT in July 2023, WormGPT emerged as the first one of the first AI model that was specifically built for malicious purposes. 

It was developed just a few months after ChatGPT's rise and became one of the most feared AI models. There have been several similar models available on cybercrime marketplaces since then, like WolfGPT, EscapeGPT, and FraudGPT. However, many have not gained much traction due to unmet promises or simply being jailbroken versions of ChatGPT that have been wrapped up. According to security researchers, GhostGPT may also busea wrapper to connect to jailbroken versions of ChatGPT or other open-source language models. 

While GhostGPT has some similarities with models like WormGPT and EscapeGPT, researchers from Abnormal have yet to pinpoint its exact nature. As opposed to EscapeGPT, whose design is entirely based on jailbreak prompts, or WormGPT, which is entirely customized, GhostGPT's transparent origins complicate direct comparison, leaving a lot of uncertainty about whether it is a custom large language model or a modification of an existing model.

The Rise of Agentic AI: How Autonomous Intelligence Is Redefining the Future

 


The Evolution of AI: From Generative Models to Agentic Intelligence

Artificial intelligence is rapidly advancing beyond its current capabilities, transitioning from tools that generate content to systems capable of making autonomous decisions and pursuing long-term objectives. This next frontier, known as Agentic AI, has the potential to revolutionize how machines interact with the world by functioning independently and adapting to complex environments.

Generative AI vs. Agentic AI: A Fundamental Shift

Generative AI models, such as ChatGPT and Google Gemini, analyze patterns in vast datasets to generate responses based on user prompts. These systems are highly versatile and assist with a wide range of tasks but remain fundamentally reactive, requiring human input to function. In contrast, agentic AI introduces autonomy, allowing machines to take initiative, set objectives, and perform tasks without continuous human oversight.

The key distinction lies in their problem-solving approaches. Generative AI acts as a responsive assistant, while agentic AI serves as an independent collaborator, capable of analyzing its environment, recognizing priorities, and making proactive decisions. By enabling machines to work autonomously, agentic AI offers the potential to optimize workflows, adapt to dynamic situations, and manage complex objectives over time.

Agentic AI systems leverage advanced planning modules, memory retention, and sophisticated decision-making frameworks to achieve their goals. These capabilities allow them to:

  • Break down complex objectives into manageable tasks
  • Monitor progress and maintain context over time
  • Adjust strategies dynamically based on changing circumstances

By incorporating these features, agentic AI ensures continuity and efficiency in executing long-term projects, distinguishing it from its generative counterparts.

Applications of Agentic AI

The potential impact of agentic AI spans multiple industries and applications. For example:

  • Business: Automating routine tasks, identifying inefficiencies, and optimizing workflows without human intervention.
  • Manufacturing: Overseeing production processes, responding to disruptions, and optimizing resource allocation autonomously.
  • Healthcare: Managing patient care plans, identifying early warning signs, and recommending proactive interventions.

Major AI companies are already exploring agentic capabilities. Reports suggest that OpenAI is working on projects aimed at enhancing AI autonomy, potentially enabling systems to control digital environments with minimal human input. These advancements highlight the growing importance of autonomous systems in shaping the future of technology.

Challenges and Ethical Considerations

Despite its transformative potential, agentic AI raises several challenges that must be addressed:

  • Transparency: Ensuring users understand how decisions are made.
  • Ethical Boundaries: Defining the level of autonomy granted to these systems.
  • Alignment: Maintaining alignment with human values and objectives to foster trust and widespread adoption.

Thoughtful development and robust regulation will be essential to ensure that agentic AI operates ethically and responsibly, mitigating potential risks while unlocking its full benefits.

The transition from generative to agentic AI represents a significant leap in artificial intelligence. By integrating autonomous capabilities, these systems can transform industries, enhance productivity, and redefine human-machine relationships. However, achieving this vision requires a careful balance between innovation and regulation. As AI continues to evolve, agentic intelligence stands poised to usher in a new era of technological progress, fundamentally reshaping how we interact with the world.

AI Development Needs Global Oversight, UN Experts State


 

In a time of increasing popularity for artificial intelligence (AI), the United Nations has warned that market forces should not be the sole determining factor as the technology becomes more widely used. United Nations experts called for creating tools for global cooperation as the technology becomes increasingly popular and raises concerns about its misuse. 

A high-level United Nations body that advises the government said Thursday that developing a global framework for artificial intelligence is an "imperative". In a statement released by The World Bank last week, the bank called on the United Nations to establish the first comprehensive global organizations to regulate the fast-growing technology market. 

An analysis published by the group in a 100-page report on AI concluded that the technology "is changing our world," holding an abundance of incredible potential for good, such as opening new fields of science and accelerating economic growth as well as improving public health and agriculture, as well as optimizing energy systems. 

A report by the World Economic Forum stated that if AI is left unregulated, it would provide benefits only to a small number of countries, companies, and individuals, while it warned that even more powerful systems than those in existence today "could upend the world of work," develop autonomous weapons, and threaten peace and stability worldwide. 

There are approximately 40 experts from the fields of technology, law, and data protection on the panel, which was established by United Nations High Representative Antonio Guterres in October last year as part of his Global Agenda Council. There is a need to raise awareness about the lack of global governance of artificial intelligence such as the exclusion of developing countries from discussions concerning AI's future and its regulatory framework within the context of high-profile "Summit of the Future" events. 

Only seven of the U.N.'s 193 members belong to one of the seven major AI initiatives, while 118 others are absent from all of them -- mostly countries from the South of the globe. Recent years have seen impressive achievements in the areas of large language models and chatbots, and this has sparked high hopes for a revolution in economic productivity, but some experts have also warned that AI technology may be developing too rapidly, which may lead to problems in creating control over it in the future. 

In less than a month after ChatGPT appeared, several scientists and entrepreneurs came together and signed a letter asking for a temporary pause of the technology's development for six months to assess the risks associated with it. Among the more immediate concerns, there are the ones relating to disinformation automated through artificial intelligence, the generation of deepfake audio and video, the mass replacement of workers, and the worsening of societal algorithmic bias on an industrial scale. 

As Nelson says, "There is a sense of urgency about the situation, and people feel that we need to come together to find a solution.". The UN proposals reflect a strong commitment by government officials worldwide to regulate AI to minimize these risks to the environment. This research comes at a time when the world's major powers, including the United States and China, are frantically competing to lead the way in the development and use of technology that offers enormous economic, scientific, and military benefits, and as these countries stake out their visions for how they should be used and managed. 

As a result, differences are already beginning to appear between the sexes. It is important to remember that whole parts of the world have been left out of international discussions regarding AI governance; that is the lack of representation. It should be pointed out that seven countries (Canada, France, Germany, Italy, Japan, the UK, and the United States) are parties to seven prominent non-UN initiatives on artificial intelligence, whereas only 118 countries, predominantly in the Global South, are parties to none of these initiatives. 

"The risks caused by artificial intelligence might become more severe and might become more concentrated, leading to Member States considering the need for a more robust international institution that has authority over monitoring, reporting, verification, and enforcement. Because of the remarkable speed with which AI is advancing, the authors accept that it would be useless to compose a detailed list of the dangers, that AI poses, to demonstrate the impact of AI on society.

However, they focused on the dangers posed by disinformation, deep fakes, particularly pornographic deep fakes, as well as the continued development of autonomous weapons and the use of artificial intelligence (AI) by terrorist and criminal groups. A more immediate response, given the speed, autonomy, and opacity of artificial intelligence systems, may not prove to be feasible if people wait for a threat to emerge before finding out what is happening, according to the report. 

Continual assessments and policy dialogue will help to ensure that the world will not be surprised by the events of the future. As the authors acknowledge, owing to the breakneck speed of change in the field of artificial intelligence, it would not be possible to put together a comprehensive list of the potential dangers associated with the fast-evolving technology no matter how hard they tried. 

There were 3 key points they emphasized in their report: the threat of disinformation for democracy, the rise of more realistic deep fakes - especially those associated with pornography - as well as the evolution of autonomous weapons and the use of AI for criminals and terrorists.

AI Development May Take a Toll on Tech Giant’s Environment Image


The Reputation of tech giants as a safe investment for investors interested in the environment, social issues, and governance as well as consumers who value sustainability is clashing with a new reality – the development and deployment of AI capabilities. 

With new data centres that use enormous quantities of electricity and water, as well as power-hungry GPUs used to train models, AI is becoming a greater environmental risk.

For instance, reports show that Amazon's data centre empire in North Virginia has consumed more electricity than Seattle, the company's home city. In 2022, Google data centres used 5.2 billion gallons of water, an increase of 20% from the previous year. The Llama 2 model from Meta is also thirsty.

Some examples of tech-giants that have taken initiatives to reduce the added environment strain include Microsoft’s commitment to have their Arizona data centers consume no water for more than half the year. Also, Google announced a cooperation with the industry leader in AI chip Nvidia and has a 2030 goal of replacing 120% of the freshwater used by its offices and data centres.

However, these efforts seem like some carefully-crafted marketing strategy, according to Adrienne Russell, co-director of the Center for Journalism, Media, and Democracy at the University of Washington.

"There has been this long and concerted effort by the tech industry to make digital innovation seem compatible with sustainability and it's just not," she said. 

To demonstrate her point, she explains the shift to cloud computing and noted the way Apple’s products are sold and presented to show association with counterculture, independence, digital innovation, and sustainability, a strategy used by many organizations. 

This marketing strategy is now being used to showcase AI as an environment-friendly concept. 

The CEO of Nvidia, Jensen Huang, touted AI-driven "accelerated computing"—what his business sells—as more affordable and energy-efficient than "general purpose computing," which he claimed was more expensive and comparatively worse for the environment.

The latest Cowen research report claims that AI data centres seek power, which is more than five times the power used in a conventional facility. GPUs supplied by Nvidia consume around 400 watts of power, making one AI server consume at least 2 kilowatts of power. Apparently, a regular cloud server uses around 300-500 watts.

Russel further added, "There are things that come carted along with this, not true information that sustainability and digital innovation go hand-in-hand, like 'you can keep growing' and 'everything can be scaled massively, and it's still fine' and that one type of technology fits everyone." 

As businesses attempt to integrate huge language models into more of their operations, the momentum surrounding AI and its environmental impact is set to rise.

Russel further recommended that companies should put emphasis on other sustainable innovations, like mesh networks and indigenous data privacy initiatives.

"If you can pinpoint the examples, however small, of where people are actually designing technology that's sustainable then we can start to imagine and critique these huge technologies that aren't sustainable both environmentally and socially," she said.