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AI Security · Secure AI-Assisted Engineering

AI coding agents, with the guardrails your auditors expect

Policy, permissions and evidence for engineering teams using Cursor, Claude Code, GitHub Copilot and MCP servers, built to fit how your developers already work.

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4 to 6 weeks
SOC 2 · PCI DSS change evidence
What's included

What your engineering team gets

Controls sized for how much code your agents now write, not a ban your developers will route around.

01

Approved tools and policy

Which assistants and agents are approved, for which work, and with what data.

02

Agent permissions

What coding agents can run, read and change on developer laptops and in your CI/CD pipeline.

03

MCP server allowlist

An approved list of the connectors that give agents access to your code, data and systems.

04

Secrets and data boundaries

Credentials, customer data and regulated data kept out of prompts, context and agent memory.

05

Review gates for AI-written code

Review, testing and dependency checks that keep pace with agent output.

06

Audit-ready change evidence

Change management evidence that SOC 2 and PCI DSS auditors recognize and accept.

Built for
CTOs

Keep the speed your teams get from AI agents without surprises in production.

CISOs

See which agents are in use, what they can reach, and who approved it.

Your auditors

Change control evidence in a form they already know how to test.

How it runs

How an engagement runs

Clear phases, named owners and a date on every deliverable.

01

Assess

How your teams use AI today: the tools, agents and connectors in play.

02

Design

Policy, a permission model and review gates that fit your pipeline.

03

Implement

Controls rolled out alongside your platform and security teams.

04

Evidence

Controls mapped and evidence collected, ready for your next audit.

Engineers already using AI agents? Let's talk it through.