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Enterprise security models have long assumed that attacks begin when an adversary starts collecting information about a target. That assumption made sense in an era when surveillance, casing, and reconnaissance were visible early indicators of hostile intent. Today, the earliest stages of many attacks occur long before any operational behavior is detectable. They begin when a...


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AI adoption has blown past enterprise governance. Employees aren’t waiting for IT approval — they’re spinning up Claude, ChatGPT, and every new LLM that promises a productivity edge. The pressure to move faster is rewriting how work gets done, and governance is the casualty.  Yet most enterprises are flying blind. According to Gartner’s 2024 CISO AI Security Su...


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Millions of viewers around the world tune in to Eurovision for the music, performances, and spectacle. Few ever think about the enormous cybersecurity operation working quietly behind the scenes to keep the event running safely and securely. From protecting critical infrastructure and coordinating with law enforcement agencies to combating phishing campaigns, ticket scams, an...


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Introduction

I’ve spent quite some time on building AI agents for information security operations. Not the theoretical kind you read about in vendor whitepapers—actual working systems that handle on-call request triage, security code reviews, and design assessments. The gap between “AI chatbot” and “AI agent” isn’t just marketing terminology. It’s a fundamental architectural ...


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How should AI be governed, and who is responsible for ensuring it is used safely and ethically?

In this conversation, Dr. Anand R. Prasad and Dr. Amani Ibrahim discuss the current state of AI governance, from real-world AI adoption and regulatory frameworks to transparency, accountability, bias, security, and the growing challenge of balancing innovation with o...


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