AI in Cybersecurity

In an era where enterprise efficiency hinges on cutting-edge technology, imagine a scenario where a seemingly harmless shared file in a company's cloud storage triggers a catastrophic data breach, orchestrated not by a hacker's direct intrusion but by the very AI assistant trusted to

What if the most transformative technology in a company's arsenal was also its biggest blind spot? Across countless organizations, generative AI is silently embedding itself into everyday SaaS tools—think chat summaries in messaging apps or automated transcriptions in video platforms. This i

In a world increasingly reliant on artificial intelligence to drive innovation across industries, the security of AI infrastructure has never been more critical, especially when a leading technology like NVIDIA's Triton Inference Server faces alarming vulnerabilities that could jeopardize

In an era where generative AI (GenAI) is transforming industries at breakneck speed, a staggering reality emerges: the vast majority of enterprises adopting these technologies lack clear visibility into their AI supply chains, posing severe risks to security and data privacy. This critical gap took

Imagine a world where AI systems autonomously manage critical operations, from financial transactions to healthcare diagnostics, only to be derailed by a single malicious input that cascades into catastrophic failure. Agentic AI, powered by large language models (LLMs), is revolutionizing

I'm thrilled to sit down with Malik Haidar, a renowned cybersecurity expert whose career has been defined by his work in safeguarding multinational corporations from sophisticated threats and hackers. With a deep background in analytics, intelligence, and security, Malik uniquely blends