Shared agentsMCP Server
Petabyte-scale data, agent-accessible.
- Developer & Data Infrastructure
//AI Security
Secure everyagent interaction.
Agents reach tools, APIs, databases, and services. Control who can do what, protect sensitive data, and enforce policy on every interaction.
Access
Least privilege for every agent
No more shared credentials or broad permissions that expose systems an agent never needed.
Data
Sensitive information stays put
Requests and responses inspected, and PII filtered before it reaches a model or tool.
Workflows
Policies hold across workflows
Controls stay consistent at every hop of a multi-step agent workflow.
Traditional security was built for users.
Not autonomous agents.
//Overview
What is AI agent security?
AI agent security controls what autonomous agents can reach and do: it verifies each agent's identity, enforces least-privilege access to tools, APIs and data, protects sensitive information and applies policy across multi-step workflows.
DataObserve Sense establishes agent identity, authorises every request, mediates credentials so agents never hold raw secrets, protects sensitive data and enforces the same policies across every workflow an agent takes part in.
//How it works
From unmanaged agent accessto end-to-end security.
Step 1
Establish agent identity
Register identities, attach permissions, track activity.
//Consistent controls
Protect agents, tools, and data
Verify every agent
Know exactly which agent makes each request.
Enforce least privilege
Policy and context instead of broad, shared access.
Protect sensitive information
PII filtered before models and tools see it.
Apply policies everywhere
One layer across models, APIs, tools, and workflows.
//Explore more withDataObserve
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Infinite Retention
No retention tiers, no forced expiry.
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AI Gateway
One place to manage LLM, MCP, and A2A traffic, with shared authentication, policies, and observability.
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AI Catalog
Discover, manage, and govern models, MCP servers, tools, skills, prompts, resources, and agents in one place.
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//Use cases
AI Security: use cases
Least privilege
Give each agent only the access its task needs.
Credential safety
Keep secrets out of agents' hands with mediated credentials.
Sensitive data
Stop personal and confidential data leaving through agent calls.
Workflow policy
Apply consistent rules across chains of agents and tools.
//FAQs
AI Security: questions teams ask
What is credential mediation?
The gateway injects the credential a tool needs at call time, so the agent never sees or stores the secret itself.
What are the main security risks of AI agents?
Over-broad access, leaked credentials, sensitive data exposure, prompt injection and actions no one can trace back to a person.
How is least privilege enforced for agents?
Every request is authorised against policy for that agent, tool and resource, so access is granted per action rather than in bulk.
Does AI security cover MCP tools?
Yes. MCP tool calls are authorised and logged like any other agent request.
