LLM Security Review

Prompt injection is a structural risk that requires layered defenses, not a one-time fix.

Guard LLMs catch injections but fail fast when attackers add Unicode or tweak inputs slightly.

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

Most organizations document NIST AI RMF but never enforce it at runtime.

Contracts must protect data from vendor training and map hidden AI supply chains.

Distinguishing two distinct attacks that steal or reverse-engineer a model's hidden instructions.

Attackers exploit LLM blindspots to breach enterprise systems.

Prompt injection and jailbreaking are distinct attacks requiring different defenses.

Effective defenses stack multiple layers since no single method catches all injection attacks.

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

Enterprises face notification deadlines they cannot hand off to AI vendors.