Secure access to enterprise resources for AI agents
Enable AI agents to work across SaaS applications, cloud infrastructure, and internal systems while enforcing identity, authorization, approval workflows, and auditability.
SecureContext is the enterprise control plane that governs what AI agents can access, what they can do, and how every action is tracked.
Agents Need Access. Enterprises Need Control.
Internal systems were not built for agents
AI assistants are starting to read docs, search incidents, open tickets, and call internal APIs. Without a control layer, that access spreads faster than security teams can review it.
- Agents need context from Slack, Jira, docs, APIs, and databases
- Security needs identity, approvals, and least-privilege access
- Platform teams need one place to govern every agent surface
Hosted-only access creates blind spots
Point-to-point plugins and hosted agent tools can bypass the controls enterprises already rely on. Sensitive context needs to stay behind your network, your SSO, and your audit trail.
- Data residency and network boundaries stay enforceable
- Every request can be policy-checked before a tool runs
- Audit logs show who accessed what, when, and why
Control Plane, Not Just Routing
SecureContext governs the connection between agents, policies, approvals, and the systems they are allowed to touch.
VS Code, Claude Code, Cursor, etc.
Enterprise control plane
Inside Your VPCSlack, Jira, docs, APIs, databases.
Identity, policy, approvals, audit, and cost controls happen before an agent reaches sensitive context or tools.
Governance Posture
Built for enterprises that need policy, approvals, and auditability around agent-driven access.
Runs inside your infra
Deploy in your VPC with full network isolation.
No data exfiltration
Your data never leaves your security perimeter.
No telemetry by default
Opt-in analytics only. You control what's shared.
Auditable logs and RBAC
Full audit trail with role-based access control.
Trusted by Platform Teams
“SecureContext gave our agents access to internal systems without losing SSO, approvals, or auditability. Setup took less than a day.”
“The white-label surface was key for us. Our developers use 'Atlas' as if it's a native part of our stack.”
“We evaluated building this ourselves. SecureContext saved us months of work and handled edge cases we had not considered.”
Frequently Asked Questions
Put SecureContext between agents and enterprise systems.
Give AI tools useful internal context while enforcing the same identity, policy, approval, and audit controls your teams already depend on.