Enterprise Pilot & Trust Pack
Control what AI coding agents can do before they do it.
SigmaShake gives security and platform teams runtime control over AI coding agents: block risky actions, require human approval, and log decisions before the agent acts. It helps teams adopt AI agents safely without replacing their IDEs, CI, SIEM, or approval process.
Who it is for
CISOs, VPs Engineering, platform leaders, and security reviewers whose teams are rolling out Claude Code, Codex, Cursor, Copilot, or MCP-based tools.
What is included
Runtime policy, approval workflow, local audit trail, deployment process, success criteria, security architecture, compliance status, FAQs, and scoping-call next step.
Pilot terms
Qualified 30-day pilot after scoping. No services fee for the guided pilot; governed runtime access is authenticated and provisioned under a pilot agreement.
What security teams cannot see or control today
AI coding agents can run shell commands, edit files, install packages, read secrets, and interact with infrastructure. Without a runtime policy gate, teams often review the result after execution instead of controlling the action before it happens.
What the 30-day pilot proves
- A production engineering team uses AI coding agents under SigmaShake controls throughout the pilot.
- Actions that match configured policy are blocked or approval-gated before execution.
- Developers can keep using AI agents with acceptable friction.
- Security can answer who did what, what was blocked, which rule applied, and who approved exceptions.
- The pilot produces audit logs, blocked-risk examples, false-positive findings, policy gaps, and a rollout plan.
Transparent status. SigmaShake provides runtime policy enforcement and audit evidence for supported agent workflows. It is not an EDR, SIEM, sandbox, SOC 2 certification claim, or FedRAMP authorization claim. SSG is the engine that powers SigmaShake’s local enforcement layer.