01
Security harnesses
The trust layer for agents to act safely. Actions are formally verified against your policies before execution, with custom memory integrations bringing enterprise context into the harness.
Agent action Formal verification✓
BUILT FOR THE AGENTIC ENTERPRISE
Give your AI agents
a security backbone.
A trust layer for safe actions. Rigorous vulnerability testing.
Reasoning-level security evals. Give your agents the foundation to act safely.
Your agents. Your infrastructure. Your rules.
✳ THREE LAYERS. ONE SAFER AGENT. Security by design
AI-powered vulnerability
assessments
assessments
Rigorously test. Find weaknesses.
Reduce vulnerabilities.
SECURITY HARNESS
The trust layer around your agent
Your agentReason. Decide. Act.
Custom memory integrations Actions formally verified against policiesSecurity evals
Examine the reasoning.
Evaluate action safety.
THE CURATX PLATFORM
Agentic speed.
Enterprise control.
Security shouldn’t slow your agents down.
It should be built into how they work.
02
Agent vulnerability assessments
Rigorously test your agents before deployment. AI-powered vulnerability assessments uncover weaknesses in controlled testing, helping teams address findings and keep vulnerabilities low.
Prompt injection HIGH
Excessive permissions MEDIUM
03
Security evals
Go deeper into how your agents reason. Detailed reasoning-level evals examine decisions, surface unsafe paths, and evaluate whether agents choose safe actions.
Reasoning safety✓
FROM POLICY TO PRACTICE
Make security part
of every agent action.
Establish trust at execution, reduce vulnerabilities during testing, and examine the reasoning behind each decision.
SECURITY HARNESSES
A trust layer for agents to act safely.
Formally verify proposed actions against your policies before they execute. The harness surrounds your agent with a clear trust boundary, while custom memory integrations connect the context it needs to work.
Proposed action → formal verification → safe executionAGENT VULNERABILITY ASSESSMENTS
Rigorous testing. Fewer vulnerabilities.
Put agents through AI-powered vulnerability testing to uncover prompt injection, unsafe tool use, and other weaknesses. Use the findings to remediate issues and retest, keeping the number of vulnerabilities low before deployment.
Test → find weaknesses → remediate → retestSECURITY EVALS
Look deeper into the reasoning.
Evaluate how agents reason through a task and arrive at an action. Detailed reasoning-level evals examine decision paths and their safety implications, helping ensure that agents choose safe actions.
Examine reasoning → evaluate decisions → assess action safetyBUILT AROUND YOUR ENTERPRISE
Your stack is unique.
Your security should be, too.
Start with your environment.
Build toward confident deployment.
Understand your agents
Map your workflows, policies, tools, and memory to define the boundaries your agents need.
Design your protection
Build the trust layer for formally verifying agent actions against your policies, with custom memory integrations.
Evaluate. Refine. Deploy.
Rigorously test for vulnerabilities and evaluate reasoning-level safety before your agents take on more autonomy.
AUTONOMY NEEDS A FOUNDATION.
Move fast.
Keep your agents in bounds.
Let’s build the security backbone for your AI workforce.
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