Switch on AI agents without switching off your controls.
We assess, secure and govern the AI agents your teams are deploying: permissions, prompt-injection defences, audit trails and policies that hold up in an audit.
- 48–72 HOURS
- TOP 3% ENGINEERS
- 100% REPLACEMENT
AI agents are easy to start and hard to control. A team connects a model to the CRM on a Tuesday. By Friday it is sending emails. Security finds out a month later, if at all. We help you get ahead of that. We find what is running, test how it fails, put limits in place and leave you with evidence and a routine that your own people can keep up.
- 48–72hfrom first call to engineers in your standup
- Top 3%of applicants, vetted for the work
- 100%replacement guarantee on every hire
What we do.
Agent inventory
find every agent, what it can access and who owns it. We check code repositories, automation platforms, API keys and team interviews, because agents are rarely listed in one place.
Threat testing
prompt injection, data leakage, tool misuse and privilege escalation. We try to make each agent do something it should not, using the inputs it really receives.
Guardrails
least-privilege permissions, approval steps for risky actions, output filters. We prefer hard limits in the tools over polite instructions in a prompt.
Audit readiness
decision logs and evidence for SOC 2, ISO 27001 and internal review. We map what you have to the controls an auditor will ask about.
Governance
an AI use policy, ownership model and review cadence. Short, readable and enforced by the way work gets approved.
Who this is for.
A CISO or head of security who has just learned that several teams are running agents nobody reviewed.
A CTO whose agents work in a pilot and who now needs sign-off for production.
A compliance lead preparing for SOC 2 or ISO 27001 who has to explain how AI agents fit the control set.
A product team shipping an agent that reads customer emails, tickets or documents.
A founder answering security questionnaires from enterprise buyers that now include questions about AI.
What you get.
An agent register: purpose, owner, systems touched, data classes and permissions for each agent.
A threat test report with findings ranked by severity, evidence of each issue and a clear fix.
Fixes or pull requests for the highest-priority items, so the report does not sit in a drawer.
Permission changes, approval steps and logging added where they were missing.
Test cases for the attacks we found, ready to run in your CI pipeline.
A short AI use policy, an ownership model and a review calendar.
An evidence pack your auditor can read.
- Top 3% of applicants
- Start in 48–72 hours
- Dedicated account manager
- 100% replacement guarantee
Typical timeline.
If an audit date is fixed, tell us early. We plan backwards from it and rank findings by what the auditor will care about.
- 01
Weeks 1 to 2
discovery and inventory. Interviews, repository and platform review, a first risk ranking.
- 02
Weeks 2 to 4
threat testing on the highest-risk agents, with findings shared as we go and not saved for the end.
- 03
Weeks 4 to 7
remediation. Permissions, approval steps, logging and test cases. Retest what we fixed.
- 04
Weeks 7 to 8
governance and evidence. Policy, ownership, review routine and the audit pack.
Mostly the agents. The model matters, but the damage usually comes from the tools an agent can call and the data it can reach. We test the whole chain, from the input to the action.
Related work and reading.
Case studyAuditing an AI agent fleet before a client's SOC 2 reviewRead the story 
Case studyCatching a prompt-injection vulnerability before it shippedRead the story 
ArticleWho's responsible when your AI agent makes a bad decision?Read the article 
ArticleThe AI agent security checklist most companies skipRead the article
LET'S TALK. Start now.
Tell us what you're building. We'll come back with a plan and matched, pre-vetted engineers.
CONTACT