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ai in cybersecurity

FireCompass IEEE Research Diagram - Belief-State Engine for Autonomous Security

(IEEE) Belief-State Engines: Solving Uncertainty in Autonomous Security Systems

FireCompass Research has published a new IEEE TecRxiv paper examining a technical weakness increasingly visible in autonomous cybersecurity systems built around large language models.  The work, Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial Observability, was authored by two members of the FireCompass research team, including FireCompass co-founder and Head of Research, Arnab Chattopadhayay. … Read More »(IEEE) Belief-State Engines: Solving Uncertainty in Autonomous Security Systems

The Great AI Divide: Why the Security Industry Is About to Split in Two

Every major technology shift produces the same pattern. A new capability emerges. A small group of organizations moves fast and builds structural advantages. The rest watch, deliberate, run pilots, and wait for consensus. By the time consensus arrives, the gap is already too wide to close quickly. That pattern is playing out right now in… Read More »The Great AI Divide: Why the Security Industry Is About to Split in Two

AI in Cybersecurity: A Fireside Chat with Bruce Schneier

During a recent FireCompass fireside chat, celebrated security technologist Bruce Schneier sat down with our Field CISO, David Randleman, to explore how AI is reshaping the cybersecurity landscape. From the origins of attack trees to the future of penetration testing, Schneier shared invaluable insights that help us see where security is headed—and how we can… Read More »AI in Cybersecurity: A Fireside Chat with Bruce Schneier

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