Start with the pressure: sales, launch, abuse, agents, data, or guardrails
SecEng Workbench
AI Security LLC uses SecEng Workbench to benchmark AI security programs, map AI product surfaces, test abuse paths, harden controls, and generate evidence packs across LLM apps, RAG systems, agents, model gateways, and AI workflows. Reusable M.A.D.E. skills chain findings into graph-backed attack paths, and output adapters render one validated evidence graph into developer, security, buyer, auditor, and OEM formats. Services are paid consulting engagements. Products are the delivery engine.
Map
Identify AI systems, data flows, trust boundaries, abuse-path hypotheses, and evidence gaps before deeper testing.
Used by services
AI Product Security Assessment, AI Security Maturity Benchmark
Helps produce
AI Security Discovery / Intake Pack, AI Architecture Review, AI Control Gap Assessment
Find AI vendors, SDKs, widgets, runtime signals, shadow AI, and exposed routes, model touchpoints, scripts, forms, and AI-adjacent attack surface.
Used by services
AI Product Security Assessment, AI Security Maturity Benchmark
Helps produce
AI System Inventory / Application Register, AI Control Gap Assessment
Analyze MCP servers, OpenAPI specifications, and AI tool definitions to understand capabilities, permissions, side effects, and attack surface.
Used by services
AI Product Security Assessment, Agentic Workflow Abuse Review, Agentic Workflow Security & Hardening
Helps produce
Tool Inventory, Capability Graph, Permission Model, Trust Boundary Map, Engineering Findings
Inventory system prompts, developer prompts, agent instructions, tool prompts, and prompt templates across repositories.
Used by services
AI Product Security Assessment, AI Guardrails & Evals Review, AI Governance & Security Program Build
Helps produce
Prompt Inventory, Prompt Classification, Risk Findings, Threat Canvas Assets, Engineering Backlog
Runs in your browser. Keeps inputs local. Produces a practical risk, control, and evidence gap view — the public product-led entry point to AI security assessment.
Used by services
AI Security Maturity Benchmark, AI Governance & Security Program Build
Helps produce
AI Security Maturity Scorecard, AI Control Gap Assessment, AI Security Remediation Roadmap
Attack
Find AI-native code risk and vulnerability candidates: MCP tool abuse, browser-agent actions, RAG tenant leakage, model-output dispatch, prompt/log exposure, unsafe rendering, AI gateway risk, and missing forensic evidence. Produces validation plans, developer exports, and remediation evidence.
Used by services
AI Launch Security Review, AI Product Security Assessment, AI Red Team & Adversarial Testing, Agentic Workflow Abuse Review, Agentic Workflow Security & Hardening, AI Guardrails & Evals Review, AI Security Sales Enablement
Helps produce
AI Code Attack-Path Report, CVE Candidate Register, Safe Validation Plan, Developer Export & Remediation Evidence Pack, Jira Remediation Backlog, SARIF / VS Code Evidence Pack
Map what agents can read, write, send, execute, approve, and trigger across connected systems. Score blast radius and flag dangerous compositions.
Used by services
Agentic Workflow Abuse Review, Agentic Workflow Security & Hardening
Helps produce
Agent Tool Inventory / Tool BOM, Agent Tool Permission Matrix, Agent Abuse Scenario Register
Test retrieval authorization, XPIA (indirect prompt injection), RAG poisoning, stale permissions, source provenance, context leakage, and tool-context abuse.
Used by services
AI Product Security Assessment, AI Red Team & Adversarial Testing, AI Guardrails & Evals Review
Helps produce
RAG Authorization Review, RAG & XPIA Security Test Plan, AI Red-Team Findings Register
Run reproducible adversarial scenarios for prompts, RAG, agents, tools, policy bypass, and model misuse.
Used by services
AI Red Team & Adversarial Testing, Agentic Workflow Abuse Review
Helps produce
AI Red-Team Scope Document, AI Red-Team Findings Register, AI Red Team Assessment Executive Summary
Analyze artifacts for capability, authority, provenance, and evidence signals during adversarial review.
Used by services
AI Red Team & Adversarial Testing, Agentic Workflow Abuse Review
Helps produce
AI Red-Team Findings Register, AI Red-Team Remediation Roadmap
Defend
Route model work through local CLIs, hosted APIs, and policy-controlled execution paths. Reduce direct API token spend, enforce redaction and approval gates, and capture evidence for audit and governance review.
Used by services
Agentic Workflow Security & Hardening, AI Guardrails & Evals Review, AI Governance & Security Program Build
Helps produce
AI Release Gate Checklist, Enterprise AI Security Evidence Pack, AI Governance Evidence Matrix
Capture AI runtime traces, replay behavior for adversarial testing, and export redacted evidence packs for policy observations and audit.
Used by services
Agentic Workflow Security & Hardening, AI Guardrails & Evals Review, AI Security Sales Enablement
Helps produce
AI Release Gate Checklist, AI Security Remediation Roadmap, Enterprise AI Security Evidence Pack
Compare declared permissions with observed capabilities, scopes, and side effects to identify excessive agent privileges and unsafe tool access.
Used by services
Agentic Workflow Abuse Review, Agentic Workflow Security & Hardening, AI Product Security Assessment
Helps produce
Permission Drift Report, Scope Review, Approval Gate Findings, Tool Hardening Recommendations, Engineering Backlog
Identify AI-specific dependency, model loader, framework, vector store, and supply-chain security risks while complementing existing SCA.
Used by services
AI Product Security Assessment, Agentic Workflow Security & Hardening, AI Governance & Security Program Build
Helps produce
AI Dependency Inventory, AI Package Risk Findings, Version Hygiene Findings, Advisory Context, Release Readiness Signals
Turn controls, owners, release gates, evidence requirements, and remediation into tool-native program work.
Used by services
AI Governance & Security Program Build, AI Guardrails & Evals Review
Helps produce
Control Ownership Matrix, Evidence Lifecycle Plan, Program Roadmap
Evidence
A public-safe control mapping engine for translating AI security work into buyer, auditor, and governance language. Maps to OWASP, NIST AI RMF, MITRE ATLAS, ISO 42001, SOC 2, and EU AI Act.
Used by services
AI Security Sales Enablement, AI Governance & Security Program Build
Helps produce
AI Governance Evidence Matrix, AI Control Mapping Summary, Framework Crosswalk
Measure whether AI security evaluations cover prompt injection, tool abuse, RAG, memory, tenant isolation, and other critical risks.
Used by services
AI Guardrails & Evals Review, AI Security Sales Enablement, AI Governance & Security Program Build
Helps produce
Eval Coverage Matrix, Missing Domain Findings, Release Readiness Signals, Recommended Eval Backlog, Evidence-Ready Summary
Review customer-facing AI and security claims for unsupported promises, evidence gaps, and safer caveated wording.
Used by services
AI Security Sales Enablement, AI Governance & Security Program Build
Helps produce
Publication & Claim-Readiness Matrix, AI Buyer FAQ, Enterprise AI Security Questionnaire Answer Bank
Control mappings, buyer artifacts, residual-risk notes, and remediation records — reusable across questionnaires, RFPs, trust centers, and board review.
Used by services
AI Security Sales Enablement, AI Governance & Security Program Build
Helps produce
Enterprise AI Security Evidence Pack, AI Governance Evidence Matrix, Model Provider Boundary Statement
Workforce Readiness
Job-market intelligence for AI security roles: title normalization, skill demand signals, role archetypes, and training path recommendations.
NICE-aligned career planning extended for AI product security, AI red teaming, RAG security, agentic workflows, and governance.
EMPOWER readiness signals for training orientation, coaching, role fit, and interview preparation.
Reflective planning for practitioners and leaders who want a coaching-friendly path from past experience to future goals.
Technical and behavioral interview practice for AI security roles using scenario prompts, STAR evidence, and role-specific feedback.
Scenario-based knowledge checks across RAG, agents, AI SDLC, governance, evidence handling, and buyer review.
Define the role, rewrite the JD, build the interview loop, calibrate scorecards, and map the 30/60/90 onboarding plan.
A partner-ready readiness engine for academies, cyber ranges, talent platforms, and enterprise training teams.
Buying path
Products are the delivery engine, not the entry point. The buying path starts with a scoped engagement — AI Launch Security Review for a fast first read, AI Product Security Assessment for deeper coverage — and products run in the background.
01
5–10 business day first engagement. Maps AI surfaces, tests primary abuse paths, produces a buyer-ready evidence pack.
Get started02
Entry-level code scan for one codebase. Produces a CVE candidate register and safe validation plan.
Get started03
Not sure which path fits? Start here to get matched to the right offer before any commitment.
Get startedProduct packet
Product pages point into the same packet library used for store checkout, launch rooms, and private offers.
Mutual NDA
Mutual confidentiality protections for pre-sales, delivery, and research collaboration contexts.
Used for NDA baseline
Statement of Work Template
Mission-specific scope, deliverables, timeline, access, assumptions, and acceptance criteria for scoped AI security engagements.
Data Processing Addendum
Controller/processor allocation, data protection obligations, subprocessing, security measures, AI provider boundaries, and customer-data handling for scoped services.
Used for Data handling and public-safe claims
Publication & Claim-Readiness Policy
Claim-readiness criteria for public research, trust pages, scorecards, attestations, sponsor materials, security review outputs, and buyer-facing evidence.
Used for Data handling and public-safe claims · Sponsored research and launch
Payment terms
Direct checkout for licensed items; quote-first for scoped delivery.
Acceptance terms
Accepted on delivery or launch-room activation depending on the package.
Fulfillment workflow
product -> checkout or quote -> webhook -> entitlement -> launch room