Lakera Guard
Detect and block adversarial or unsafe AI interactions at runtime.
Official product pageAvery Rulebook for Lakera Guard
Lakera Guard protects AI applications from prompt injection, data loss and unsafe interactions. Rulebook complements it by enforcing enterprise operating policy even when the interaction is benign.
The operating reality
The runtime compliance gate
Rulebook evaluates live context against the confirmed policy and regulatory rules that apply, then returns a decision the agent must follow.
Actor, purpose, data, jurisdiction and proposed action
Allow, deny, obligations or named human review
Evidence, rulebook version and signed decision trace
Architecture boundary
Detect and block adversarial or unsafe AI interactions at runtime.
Official product pageResolve contextual business permission, obligations and human review requirements.
Lakera Guard is a specialized AI security control. Rulebook is the enterprise policy compliance and decision layer.
Why the gap persists
A safe prompt can request an unauthorized business action.
Threat detection does not encode approval authority.
Security events and policy decisions need separate but connected evidence.
Rulebook in the workflow
Lakera Guard screens the interaction for AI security risk.
Rulebook evaluates the requested decision under enterprise policy.
Store both security and policy outcomes with the workflow event.
Potential outcomes
Questions leaders ask
That is not its primary role. A specialized runtime security control such as Lakera Guard remains complementary.
Because secure input does not imply authorized outcome, and authorized intent does not imply secure input.
Executive briefing
Bring one consequential agent workflow. We will map the governing policies and regulations, runtime gate, human authority and auditable evidence path with your team.
Request a briefing