Solutions · Secure AI Agents
Find the agents you have, understand what they can do and control what they do next
Security teams are asked to approve agents they cannot see. CydraLabs builds an inventory of agents, models, MCP servers and tools, maps each agent's effective permissions, ranks agents by an explainable risk score and puts a decision point in front of their actions.
- Agent inventory
- Agent risk
- Permissions
- Runtime control
The challenge
What teams tell us they face
For: CISOs, AI security engineers and security architects
- Agents are created in many clouds, model platforms and frameworks, often outside security review.
- An agent's effective authority includes delegated user permissions and every tool it can reach.
- Prompt injection and leaked secrets turn benign tools into attack paths.
- Risk decisions need evidence, not opinion.
The approach
How CydraLabs helps
Step 1
Discover
Inventory agents, models, MCP servers and tools through connectors, with a named owner for each agent.
Step 2
Map
Project identities, delegations, tools and data into the Agent Security Graph to reveal transitive access.
Step 3
Score
Calculate the Agent Risk Score from explicit factors and control credits, with the evidence behind each factor.
Step 4
Control
Route consequential actions through CydraGateway: allow, deny or require approval before execution.
Products
Products involved
CydraShield
Discover every agent, understand its authority and score its risk.
Learn more about CydraShieldCydraGateway
Decide before tools execute — allow, deny or require approval.
Learn more about CydraGateway
Agent risk assessment
An indicative self-assessment based on the Agent Risk Score factors. It runs in your browser and takes about five minutes.