AI SECURITY ENGINEERING WORKBENCH
The workbench for mapping, attacking, defending, and evidencing AI systems.
The engine behind assessments, red-team work, hardening, buyer evidence, and licensable tooling. Workbench instruments map systems, seed attack paths, validate controls, and package evidence from finding → fix → retest → buyer proof.
Workbench-backed delivery
SecEng Workbench is the engine behind assessments, red-team work, hardening, buyer evidence, and selected tooling licenses.
Instruments map systems, seed attack paths, validate controls, and package evidence. SecEng Code Scanner is also available as a separate tooling license for repeatable AI-native SAST, developer exports, and marketplace-readiness evidence.
Map the AI system
Discover trust boundaries, abuse paths, AI assets, and evidence gaps across every surface, agent, workflow, tool, and retrieval path.
Attack the AI system
Run adversarial tests: direct and indirect prompt injection (XPIA), RAG poisoning, tool abuse, agent permission escalation, and context leakage.
Defend the AI system
Deterministic controls, release gates, telemetry, and retest evidence. Turn findings into controls engineering teams can ship and security teams can verify.
Evidence the AI system
Control mappings, buyer artifacts, residual-risk notes, and remediation records. Unblocks questionnaires, RFPs, trust centers, procurement, and board review.
One lifecycle. Four pillars. A growing instrument set.
Map the system. Attack the weak points. Defend the release path. Package control evidence.
Each instrument works alone, but together they support the full path from red-team finding to blue-team fix to governance evidence.
SecEng Map
Find every AI surface, agent, workflow, tool, retrieval path, and data exposure.
SecEng Attack
Run adversarial tests against prompts, agents, tools, retrieval, policies, and model behavior.
SecEng Defend
Turn findings into controls, guardrails, detections, approval gates, and release criteria.
SecEng Evidence
Generate evidence packs, control mappings, framework crosswalks, and audit-ready exports.
Featured Attack Instrument
SecEng Code Scanner
AI Attack-Path SAST for MCP, RAG, browser-agent, AI coding agent, and tool-calling code. Groups static signals into attack paths, validation plans, CVE candidates, developer exports, and marketplace-readiness evidence.
Deployed in consulting engagements
Services that use these instruments.
Workbench instruments are deployed during structured consulting engagements. SecEng Code Scanner is also available as a separate tooling license when teams need repeatable AI-native SAST, SARIF/VS Code/Jira exports, and marketplace-readiness evidence.
Live demos — fixture-driven
See each instrument in action.
Every instrument ships with a fixture-driven live demo. Walk through a real run — no setup required.
Where are the trust boundaries?
SecEng Threat Canvas
Service modes
Red-team depth. Blue-team hardening. Governance evidence.
The Workbench keeps the service buckets connected. Red-team work produces reproducible findings. Blue-team work turns them into controls and telemetry. Governance work packages the evidence.
Red Team · Map + Attack
We find real attack paths.
- Map AI surfaces before adversaries fingerprint them
- Reproduce prompt injection, jailbreak, RAG, and agent abuse paths as product-security findings
- Build agent abuse chains from real tool compositions
- Poison RAG corpus and validate detection coverage
- Generate regression tests from every confirmed exploit
Blue Team · Defend
We turn findings into controls.
- Design permission boundaries, approval gates, and rollback paths
- Build logging, telemetry, and detection requirements for prompts, retrieval, and tool calls
- Convert exploits into evals, regression tests, and release gates
- Define control owners and operational runbooks
- Track remediation from finding to shipped fix
Governance · Evidence
We package evidence buyers and auditors can use.
- Generate evidence bundles for product security, AppSec, GRC, legal, and procurement
- Map findings to OWASP LLM, NIST AI RMF, MITRE ATLAS, ISO 42001, SOC 2, and EU AI Act language
- Create control ownership maps and evidence lifecycle notes
- Produce buyer-ready trust language and questionnaire support
- Deliver board, legal, and governance exports
Standards alignment
Every finding maps to a control framework.
Framework
OWASP LLM Top 10
Application-level LLM risks: prompt injection, insecure output handling, data disclosure, and supply chain.
Framework
NIST AI RMF / GenAI Profile
Risk management language for AI governance: govern, map, measure, manage. GenAI profile adds model-specific controls.
Framework
MITRE ATLAS
Adversarial tactics, techniques, and procedures for AI systems. Maps red-team findings to known adversary behavior.
Framework
ISO 42001
AI management system standard. Evidence packages from every instrument map to ISO 42001 controls for audit readiness.
AI SECURITY ENGINEERING WORKBENCH
Start with an AI security assessment.
We'll map your AI surfaces, identify the highest-priority adversarial testing, hardening, and evidence gaps, and show which Workbench instruments apply before you commit to a larger engagement.