AI Identity vs Valence Security
Valence Security discovers and assesses SaaS and AI agent risk through posture management. AI Identity enforces policy at runtime and produces tamper-evident forensic evidence of every agent action.
Feature Comparison
Side-by-side breakdown of capabilities that matter for production AI agent deployments.
Where Valence Falls Short for AI Agents
Valence tells you there is a problem. It does not stop the agent from doing the wrong thing.
Posture Management, Not Enforcement
Valence discovers agent permissions and flags risks. But it cannot intercept and block an agent action in real time. AI Identity's gateway evaluates policy before every request proceeds — if an agent is not authorized, the request is denied before it executes.
No Cryptographic Identity or Forensics
Valence operates on configuration data and permission snapshots. It does not cryptographically bind identity to agent sessions or produce hash-chained audit trails. The audit record is monitoring-based, not forensic-grade.
SaaS-Scoped Architecture
Valence is built for agents living inside SaaS ecosystems — it discovers agents connected to SaaS tools. It does not natively govern agents built on LangChain, CrewAI, or other agentic frameworks that operate outside SaaS boundaries.
Human-Triggered Remediation
Valence's one-click remediation requires a security team member to be watching the dashboard and clicking the button. This is not autonomous enforcement — it is human-gated response to discovered risks.
Why Teams Choose AI Identity
Runtime enforcement and forensic evidence, not just posture visibility.
Real-Time Enforcement
Every agent request is evaluated against policy before execution. Deny-by-default. No gap between detection and enforcement.
Tamper-Evident Forensics
HMAC-SHA256 hash-chained audit trails that cannot be altered without detection. Exportable evidence with chain-of-custody verification for regulators.
Framework-Native Integration
Built for LangChain, CrewAI, and custom agent frameworks. One URL change to integrate, not a platform onboarding process.
Agent Spending Controls
Set per-agent, per-tool spending limits. Prevent runaway API costs from autonomous agents before they happen — a risk surface Valence does not address.
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