AI Red Team Engagement
Find the failure modes before your users, regulators, or attackers do.
Who this is for
Security teams pushing AI into production but lacking AI-specific adversarial capability in-house. We bring playbooks for prompt injection, jailbreaks, data exfil, model inversion, PII leakage, bias probing, and indirect-injection chains.
Typical buyers: AppSec · Red Team · Product Security
What we do, week by week
No status decks. Every meeting ships an artefact.
Scoping + threat modelling
Map your AI attack surface · classify systems by sensitivity · author engagement rules of engagement (ROE) · authorisation memo.
Active probing
Prompt-injection · jailbreaks · indirect injection via document/email/RAG · data exfiltration · PII leakage · bias probing · agent-chain manipulation.
Findings + reproduction
Every finding reproducible with payload + expected vs observed behaviour + severity. Infrarails Guard rules drafted per finding class.
Remediation handover
Findings walkthrough · remediation roadmap · Infrarails Guard policies deployed to production · re-test of high-severity findings.
What you receive
Concrete artefacts you can show your board, your auditors, your CEO.
Threat model
Visual + textual map of your AI attack surface. Every entry point, every data sink, every privilege boundary.
Findings report
Severity-ranked findings with reproducible payloads. Audit-trail ready.
Infrarails Guard policy bundle
Drop-in rules to block the demonstrated attacks in production.
Re-test report
Verification that high-severity findings are closed post-remediation.
Deliverables checklist:
- Threat model + attack surface map
- Reproducible adversarial findings with severity
- Remediation roadmap + Infrarails Guard policies
- Vertical packs (Healthcare PHI / Finance PII / Legal Privilege / Govt CUI)
Frequently asked
Is this disruptive to production?+
We run against a staging mirror by default. Production engagements happen only with explicit authorisation + a coordinated maintenance window.
Do you cover agentic systems?+
Yes. Agent-chain manipulation, tool-call abuse, and multi-step adversarial planning are first-class scope items.
What's a vertical pack?+
An adversarial payload set tuned to a specific industry: Healthcare PHI exfiltration patterns, Finance PII chains, Legal privilege leaks, Government CUI handling. We maintain four; custom packs are billable.
Related packages
Often paired with AI Red Team Engagement.
AI Governance Framework Design
Design the policies, controls, thresholds, and approval workflows your organisation needs to operate AI responsibly at scale.
See packageAI Trust Implementation
Full Infrarails platform deployment, integration into your AI stack, and operating model rollout. We deploy, integrate, train, and hand over.
See packageReady to scope?
60-90 minute scoping call. Free. Walk through your situation; we'll tell you honestly whether this package fits or whether a different one would land better.