Guardrails
Security guardrail design for AI assistants, copilots, and orchestrated workflows that need safer defaults without killing utility.
Over-broad tools and memory scopes that expand the blast radius of a single jailbreak.
Weak human approval design that turns policy into theater instead of control.
Invisible trust boundaries between prompts, plugins, MCP servers, and external content.
Built For
Teams shipping internal or customer-facing AI assistants.
Platform owners who need consistent controls across prompts, tools, and memory.
Risk teams turning broad AI policy into technical enforcement.
Use Cases
Design system prompts, tool allowlists, and approval boundaries.
Reduce prompt injection blast radius in document and browser-connected agents.
Harden retrieval, action execution, and output filtering for regulated use cases.
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Related Advisories
SSE Endpoint Accepts Arbitrary Username from URL Path, Enabling User Impersonation in MCPHub
MCPHub accepts an attacker-controlled username from the SSE URL path and creates internal user context without authenticating or validating the account, enabling user impersonation.
Authentication Bypass via skipAuth Configuration Grants Full Admin Access in MCPHub
When skipAuth is enabled, MCPHub bypasses both authentication and admin authorization checks, allowing any unauthenticated user to access privileged API functionality.
Frequently Asked Questions
Are guardrails just prompt rules?
No. Effective guardrails also require runtime controls around tools, memory, retrieval, approvals, identity, and auditability.
Can you review an existing architecture?
Yes. We can review an existing assistant or agent stack and prioritize the controls that matter most to its threat model.
Need help validating this attack surface?
Talk with Eresus Security about scoped testing, threat modeling, and remediation priorities for this workflow.
Talk to Eresus