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AI in Cybersecurity

Combinatorial Belief States Are the Cost of Explicit Uncertainty

Combinatorial Belief States Are the Cost of Explicit Uncertainty

Many objections to belief-state planning are framed as concerns about scalability. In practice, they are concerned about visibility. Systems that avoid explicit belief do not eliminate uncertainty; they merely conceal it. This concealment can appear efficient, but it comes at a cost that is paid later often at the point where decisions matter most. This… Read More »Combinatorial Belief States Are the Cost of Explicit Uncertainty

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

Global CISO panel discussing the Claude Mythos threat landscape and agentic AI penetration testing strategies

The Mythos Threat Is Real: How CISOs Should Respond

AI is accelerating how fast attackers find vulnerabilities, build exploits, and make decisions. The question for security leaders is how to adapt without overreacting to the hype. A CISO Platform community panel of the same name took up that question with a global group: FireCompass founder and CEO Bikash Barai moderating, co-founder Arnab Chattopadhayay, a… Read More »The Mythos Threat Is Real: How CISOs Should Respond

Visual showing the widening gap between AI-powered attackers and traditional security defenders

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

Why AI May Disrupt Application Pentesting Earlier Than Most Security Teams Expect

What our firsthand experience building pentest agents taught us about verifiability, benchmark saturation, and where human researchers still matter most Our firsthand experience with application pentest agents at FireCompass has been unexpected. When we started building them, I assumed AI would become a useful force multiplier for researchers. I did not expect it to start… Read More »Why AI May Disrupt Application Pentesting Earlier Than Most Security Teams Expect

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