Category: InfoSecurity
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AI-Powered Deception: Navigating the New Frontier of Cyber Threats
The rapid evolution of Artificial Intelligence (AI) has ushered in an era of unprecedented technological advancement. However, alongside its myriad benefits, AI has also become a potent tool for malicious actors, enabling sophisticated deception tactics that pose significant threats to individuals, organizations, and societies at large. The Proliferation of AI-Generated Misinformation AI’s capability to generate…
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Enterprise GenAI Usage Is Shadow AI – A Growing Security Concern
The Rise of Shadow AI in Enterprises The rapid adoption of Generative AI (GenAI) in enterprises has brought both innovation and security challenges. A recent study reveals that 89% of enterprise GenAI usage occurs without IT oversight, a phenomenon known as Shadow AI. This unchecked usage poses significant security risks, including data leakage, regulatory non-compliance,…
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AI, ChatGPT, Cyber Attack, CyberSecurity, Data Science, InfoSecurity, Malware, Network Security, VulnerabilityA Critical Look at Security Flaws in Software Architecture
In the realm of software development, security is often an afterthought, with many organizations prioritizing functionality and user experience over protective measures. This oversight has given rise to a significant issue known as insecure design, where fundamental security vulnerabilities are embedded into the software architecture itself. In this blog, we will explore what insecure design…
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Understanding Model Theft in LLMs
The emergence of Large Language Models (LLMs) has revolutionized various sectors, from customer service to content generation. However, alongside their numerous benefits, they also introduce significant security vulnerabilities, particularly concerning model theft. This blog explores what model theft entails, its implications for organizations, and recommended practices to mitigate these risks. What is Model Theft? Model…
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The Risks of Over-reliance on LLMs
As the use of Large Language Models (LLMs) like OpenAI’s GPT models grows, so does the temptation to lean heavily on these tools for a wide range of cybersecurity tasks, from threat detection to automation. While LLMs bring tremendous potential for efficiency, their overreliance poses several risks, particularly in security-critical operations. The OWASP (Open Worldwide…
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AI, ChatGPT, Cyber Attack, CyberSecurity, Data Science, InfoSecurity, LLM, Network Security, VulnerabilityExcessive Agency Risks in LLMs
Large Language Models (LLMs) like ChatGPT are evolving rapidly, offering incredible opportunities for automation, content generation, and interaction. However, this immense capability comes with significant security risks. One of the critical risks is Excessive Agency, which refers to LLMs being granted too much control over tasks and decisions that should be carefully managed by humans.…