AI agents7 min read
Implementing AI Agent Containment Controls
A team ships a data-synthesis agent with network access and a write-capable filesystem before containment policy is live.
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Long-form writing for teams who inherit production AI: what breaks after the demo, what to measure, and how to leave the system operable.
127 reports across 7 domains
AI agents7 min read
Security triage agents: containment, SIEM spans, and kill switches before write remediations
A triage agent that can write remediations without containment, SIEM spans, or a kill switch turns a false positive into a self-inflicted incident.
Read reportAI agents7 min read
AI agent sandbox egress: ACL, tool registry, and kill switch before open internet
Agents leave the sandbox through permitted-looking network tools long before anyone notices open-internet side effects.
Read reportEnterprise AI8 min read
Data residency and model routing for enterprise AI platforms
Enterprises deploy large language models and multimodal models across multiple regions to serve global customers.
Read reportEnterprise AI7 min read
Policy-as-code for tool-calling agents in regulated workflows
Use declarative, versioned JSON or YAML contracts that the policy engine consumes.
Read reportAI agents8 min read
Sandbox Egress Controls for Tool-Using AI Agents
Operator scenario: an agent opens HTTPS to an unapproved analytics endpoint and ships user metadata outbound.
Read reportLLMOps7 min read
Prompt and index change management: owners, versioning, and rollback contracts
Embed ownership metadata in the prompt definition and enforce it in the CI/CD pipeline.
Read reportEnterprise AI7 min read
Contract testing MCP tools: schemas, side-effect classes, and version skew
In an enterprise AI stack, agents rely on a fleet of Model Context Protocol (MCP) tools to fetch data, trigger actions, and call downstream services.
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Showing 8 of 127 reports