Agent-Aware Security for the GenAI Era
Traditional tools detect after damage. ClarioSec discovers SaaS & AI agents, detects drift, and enforces policy in real time — with audit-ready explanations.
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Why ClarioSec?
The enterprise world is now filled with non-human actors: SaaS bots, LLMs, and large action models (LAMs) that can perform business-critical tasks. A rogue Slack bot can wipe a channel, a misconfigured service account can leak data, or an LLM agent can trigger unintended workflows. Traditional SSPM or compliance tools only detect issues after the fact. Cloud security vendors like Wiz stop at infrastructure. AI governance vendors like Credo AI focus on training data, not runtime. The result is a gap where real-world risks occur: the moment of action.
ClarioSec was built to fill this gap. By discovering every SaaS and AI agent, scoring risk in real time, and enforcing policies before actions are executed, we stop violations before they become incidents. Our four pillars — Discover, Score, Enforce, Explain — define the new standard for agent-aware security.
From Monitoring to Enforcement
Monitoring alone is no longer enough. Compliance dashboards and security logs provide insights but don’t prevent an incident in progress. ClarioSec introduces runtime enforcement: if a SaaS bot attempts to delete sensitive data, the action is intercepted, evaluated against compliance rules, and blocked unless explicitly overridden by a SOC lead. This means fewer incidents, faster audits, and stronger alignment with frameworks like SOC 2, GDPR, ISO 42001, and the AI Act.
