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Start with the pressure: sales, launch, abuse, agents, data, or guardrails

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Attack

All services

Break the AI system, then turn the evidence into fixes.

Every finding is written so it can become a control, retest, and buyer-ready evidence item. Attack services test the system adversarially across direct prompt injection, indirect prompt injection / XPIA, RAG poisoning, tool abuse, agent permission escalation, cross-tenant leakage, context leakage, guardrail bypass, and insecure output handling.

Request Adversarial TestingView 8-Service Portfolio
AI-assisted attack chain diagram

Abuse path to evidence

Attack visual operating model

Buyer questions

  • - Can direct prompt injection or hostile documents change behavior?
  • - Can indirect prompt injection / XPIA alter behavior through documents, retrieval, or tool context?
  • - Can retrieval leak private or tenant-scoped data via RAG poisoning or context leakage?
  • - Can agents abuse tools or bypass approvals through permission escalation?
  • - Can we show reproducible adversarial evidence to buyers or leadership?

Products / instruments

SecEng Adversarial RangeSecEng RAG Test Harness — XPIA LabSecEng Authority Graph — Agent Blast-Radius MapSecEng Artifact AnalyzerSecEng Runtime Proxy — Trace, Replay, Evidence Export

Featured research

AI Product Security in the Age of MythosAgentic Anarchy
AI Product Security in the Age of Mythos cover

Featured research

AI Product Security in the Age of Mythos

A post-Mythos product-security operating model for leaders who need to inventory AI systems, threat-model agentic products, gate releases, monitor evidence, and close the boardroom-to-backlog gap at machine speed.

17 Chapters90 days Execution planAI-era Threat models

Open report

SecEng Adversarial Range demo screenshot

Attack instrument

SecEng Adversarial Range

SecEng RAG Test Harness demo screenshot

RAG abuse testing

SecEng RAG Test Harness

Agentic Browser Security Assessment portfolio visual

Evidence proof

Agentic Browser Security Assessment

Browser, native bridge, command-dispatch, and delegated-action review evidence.

View proof

Flagship
AttackAvailable

assessment

AI Red Team & Adversarial Testing

A focused adversarial engagement testing prompt injection, indirect instruction attacks, RAG exposure, tool abuse, tenant leakage, policy bypasses, unsafe autonomy, and model misuse paths.

Outcome

5 deliverables

Best for

CISO, Product Security, Red Team, AI Engineering Lead

  • •Prompt injection, indirect instruction, jailbreak, and policy-bypass testing
  • •RAG authorization, context exposure, poisoning, and cross-tenant leakage modules
  • •Tool abuse, unsafe autonomy, model behavior abuse, and misuse scenarios
  • •Executive summary, findings register, remediation roadmap, and retest plan
Duration: 3-6 weeksScoped in discovery call
View serviceRequest Adversarial TestingSee people fit
Flagship
AttackAvailable

assessment

Agentic Workflow Abuse Review

An adversarial review of AI agents, tools, automations, permissions, approvals, workflows, rollback paths, and action boundaries. It tests the action layer: what the AI can do, who approved it, what it can touch, and how badly it can fail.

Outcome

5 deliverables

Best for

AI Platform Lead, Product Security, Automation Owner, Red Team

  • •Agent tool inventory, permission boundaries, and action authority review
  • •Approval bypass, tool abuse, workflow escalation, and blast-radius scenarios
  • •Rollback, human approval, audit trail, and reconstruction checks
  • •Abuse scenario register and engineering-ready remediation priorities
Duration: 2-5 weeksScoped in discovery call
View serviceReview Agent Abuse PathsSee people fitView evidence

Sample deliverables

AI Red-Team Scope Document
AI Red-Team Findings Register
AI Red Team Assessment Executive Summary
AI Red-Team Remediation Roadmap
RAG & XPIA Security Test Plan
Agent Abuse Scenario Register