Securing Agent Intent Demands a New Paradigm
AI agents act with broad access, and existing tools only see the traffic, never the intent. Certiv reads what an agent intends and acts before it executes.
- Reads intent
- Understands why
- Acts before execution
Existing security tools see network traffic, not agent intent. Certiv runs on the endpoint where agents act, so it can read what an agent is about to do, understand why, and block it before it happens. Visibility and enforcement in one place.
The Agentic Control Gap
Two gaps define today's security stack:
1. No semantic understanding. Existing tools see identities, packets, and API tokens. None understand agent intent. Without it, you can't tell a legitimate workflow from a dangerous one.
2. No pre-execution enforcement. Detection happens after the fact. Logs record what went wrong. Alerts confirm damage. Nothing stops it before execution.
The Work Happens Here
Organizations don't deploy AI centrally. Agents run on developer machines and employee workstations.
Without endpoint visibility, you can't govern agents.
AI Agent Assurance governs where the work happens.
Certiv sits where agents reason and act
Certiv is the industry's first AI Agent Assurance Layer for the endpoint, an intent-based policy engine that stops risky actions before they execute.
See the Approach Running Live
Watch Certiv read agent intent and block risky actions before they execute.
See the Full Action Context
Agent visibility requires all four dimensions. Certiv tracks the complete action context for every agent and session.
Host / Process / User Prompts
Runtime environment, identity, and user prompts that launch and direct agent behavior.
Model Chain of Thought
Reasoning steps and logic the model follows before acting.
Tool Calls & Data
APIs, MCP servers, file systems, and data sources agents invoke.
Agent-to-Agent Calls
Sub-agent sessions, delegated tasks, and their cascading tool calls.
Govern Actions Before They Run
Certiv intercepts every tool call, API request, and system interaction, evaluating each against intent-based policy and blocking risky actions before they run.
Policy Built for How AI Actually Behaves
Fixed rules can't handle non-deterministic behavior. Certiv's intent-based policy evaluates purpose, not just pattern, keeping policies meaningful as behavior evolves.
Smart, Cloud-Scale Decisions
Actions flow through the Certiv Brain, a cloud-scale engine scoring risk, evaluating policy, and detecting threats in real time.
FAQFrequently Asked Questions
Expand to view common questions.
Frequently Asked Questions
Expand to view common questions.
Why can't traditional security tools like EDR, CASB, or network proxies secure AI agents?
What is runtime agent security and why does it matter?
How is Certiv different from AI observability platforms and LLM guardrails?
Govern Agents Where the Work Happens
One endpoint install for semantic visibility and runtime enforcement. See it on your own agents.
Keep reading
What is AI Agent Assurance?
The category our approach defines, explained in plain terms.
Continuous authorization for AI agents
Why session-based access fails for agents, and what per-action authorization looks like in practice.
The Lethal Trifecta
A concrete example of the problem class the existing security stack misses.
See the product
How the approach ships: one install on the endpoint, semantic visibility, runtime enforcement.