Security and engineering leaders must manage unknown risk and satisfy regulators — without slowing development. Clarient discovers, governs, and monitors AI agents across your code and infrastructure before they become a liability.
Most security teams discovered they had an AI problem after something went wrong. An agent leaked CRM data. A chatbot gave legally binding advice. An autonomous script deleted production state. None of these required a novel attack. They required deploying AI without governance.
Clarient is the platform that makes visible what was invisible — every agent, every tool it can touch, every data flow — and enforces the policy that keeps your organization safe while AI keeps shipping.
These aren't theoretical attack scenarios. They are documented incidents at real companies — caused by deploying AI agents without adequate governance, observability, or controls.
A court ruled the airline was liable for its AI agent's misleading refund advice. The model hallucinated policy that didn't exist. No human reviewed the output before it was presented as authoritative.
Read more →An AI coding agent with write access to production executed destructive operations without a human-in-the-loop checkpoint. The incident highlighted how autonomous agents can fail catastrophically without guardrails.
Read more →A customer service AI built on Microsoft Copilot Studio revealed sensitive CRM data to researchers through prompt manipulation — with no DLP rule triggering, because the exfiltration happened inside a reasoning step.
Read more →Clarient gives you end-to-end visibility and control — from agent discovery through runtime enforcement — without requiring security teams to become ML experts.
Automatically scan repos and services to find LLMs, agents, prompts, tools, and shadow AI — including third-party integrations your team may not know exist.
Map agent usage to SOC 2, ISO 27001, NIST AI RMF, and the EU AI Act. Generate audit-ready evidence artifacts automatically, not retrospectively.
See exactly which databases, APIs, cloud SDKs, and third-party models each agent can reach. Identify toxic permission combinations before they become incidents.
Runtime guardrails and real-time alerts for risky tool calls, jailbreak attempts, data egress patterns, and behavioral anomalies — across every agent in your stack.
Prioritized findings with fix suggestions, policy diff recommendations, and executive-ready reporting. Your CISO gets a clear picture; your engineers get actionable next steps.
CLI and CI/CD hooks that run pre-merge checks on every AI change. Git provider integrations and issue sync so teams can ship faster — with security baked in, not bolted on.
Clarient is designed to be operational in days, not quarters. No professional services engagement required. No ripping out your existing AI stack.
Point Clarient at your Cloud VPC with a least privilege read access role, CI pipelines and Logs. We auto-discover AI artifacts, AI relevant VPC posture and data flows across your stack.
We match findings to your chosen risk control policies, creating a safe AI system of record that stays current as your AI systems evolves.
Ship with CLI and CI checks that block risky changes pre-merge, and deploy runtime policies that prevent dangerous tool calls and data exposure in production.
Generate evidence packages, compliance dashboards, and audit trails that your CISO, enterprise customers, and external auditors will accept without back-and-forth.
Whether you're a CISO asking "what AI do we even have running?", an engineering lead shipping AI features, or a GRC team trying to answer auditor questions — Clarient is the platform that answers them.
We work directly with security engineers, GRC leads, and platform teams who are already living this problem in production. If that's you — let's talk. No pitch deck, just a conversation about what you're facing.