Hugo Dvorak

NIST's framework demands continuous governance cycles, not one-time compliance checklists.

Attackers exploit LLM blindspots to breach enterprise systems.

Acquirers must audit AI systems, training data, and compliance risks that standard checklists miss.

Opaque AI features hidden in vendor products create untracked compliance risk for regulated firms.

Enterprises unknowingly run unmonitored vendor AI that drifts silently and invisibly.

AI features in routine software updates escape vendor review entirely.

Regulators now require LLM systems to log prompts, outputs, and policy decisions—not just API calls.

Attackers exploit markdown rendering to steal data from LLM outputs without user detection.

Attackers exploit legitimate tool calls to exfiltrate data without touching your firewall.

Attackers can exfiltrate data through AI tool calls disguised as normal operations.

Enterprises racing to deploy RAG systems are spending 17 times more on AI tools than securing them.

Permission models dissolve when documents enter vector databases.

OWASP's updated taxonomy gives security teams a shared target for LLM failure modes.

LLM security requires rethinking every defense assumption from traditional web application security.