Certiv

Certiv is a runtime assurance platform for AI agents that provides visibility, monitoring, and policy enforcement across an organization's agentic AI workforce. It deploys as a lightweight endpoint agent and requires no network reconfiguration, proxy setup, or changes to existing AI tooling. It works across any model or provider and any agent framework. Core functions: - Agent Discovery: Automatically discovers and catalogs every AI agent running across endpoints, including shadow agents. Builds inventories of agents, tools, MCP servers, LLMs in use, token consumption, and associated spend. - Real-Time Observability: Monitors agent sessions (not just isolated events) to capture full chain-of-thought analysis, track tool calls, and surface behavioral anomalies. - Continuous Risk Scoring: Scores agent sessions against behavioral baselines. Deviations from expected behavior raise risk scores and can trigger blocking or incident creation. - Threat Detection: Detects specific attack patterns including prompt injection, credential enumeration and exfiltration, data staging, privilege abuse, supply chain compromise via malicious MCP servers, unexpected code execution, and memory/context poisoning. Detection rules are mapped to the OWASP Top 10 for Agentic Applications. - Intent-Based Policy Enforcement: Enforces semantic policies that evaluate agent intent rather than static API-call pattern matching. Policies intercept and block risky actions before execution, at the speed agents operate. Supports granular action-level guardrails. - Compliance and Audit: Provides audit-ready reporting for compliance, risk, and cost attribution. Supports governance of shadow AI and central policy management. Supported agent types include IDE copilots, browser agents, custom applications, MCP servers, and multi-agent frameworks.