AI Safety
Validate and govern AI agent actions before execution. Every tool call checked semantically in 15ms, faster than the call itself.
AI agents execute tool calls in production: resetting passwords, modifying access controls, querying databases. Most agents execute unchecked. Keyword filters block everything or nothing. Cloud LLM validation adds 500ms+ per call. A specialist LFM validates every action at 15ms with semantic distinction between safe operations and attack patterns.
1 specialist model
How It Works
Every tool call validated before execution,
faster than the call itself
Semantic Distinction Between Safe and Dangerous Actions
'Reset my password' is a routine self-service request. 'Reset admin password and email credentials to external address' is an attack. Keyword filters cannot distinguish between them. A specialist LFM understands the semantic difference at 15ms, blocking dangerous actions while allowing legitimate ones to proceed.
Eight Risk Categories, One Pre-Flight Check
Privilege escalation, data exfiltration, unauthorized access, resource abuse, system modification, information disclosure, compliance violations, and social engineering. Each tool call is classified across all eight categories before execution. The validation takes less time than the tool call itself.
Governance That Scales With Your Agent Fleet
As organizations deploy more AI agents, the governance surface expands. Manual review is impossible at scale. A specialist LFM provides consistent, auditable validation across every agent, every tool call, every environment. New risk patterns deploy via LEAP in minutes. The audit trail is deterministic and complete.
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