AI Security Program Build
Turn AI security findings into an executable program backlog.
SecEng Program Blueprint Kit converts AI security requirements, findings, and control mappings into implementation blueprints, workstreams, owners, tickets, policies, and evidence collection tasks — delivered as an executable backlog in Jira, Linear, Notion, or GitHub.
Blueprints and workstreams
Pre-built AI security program structure with workstreams, epics, and tasks ready to import.
Evidence requirements
Explicit evidence requirements mapped to each control, workstream, and program phase.
Control mappings
Every task and control mapped to NIST AI RMF, ISO 42001, OWASP LLM, and EU AI Act.
Multi-framework coverage
Program structure that satisfies NIST AI RMF, ISO 42001, OWASP LLM, and EU AI Act simultaneously.
Blueprints
7
20 workstreams
Evidence
113
requirements
Controls
294
mappings
Active Backlog
Framework Coverage
Outputs land in the platforms your teams already use
New integrations added regularly.
Who It's For
Built for the Teams Actually Responsible for AI Security
Security Engineers
Agents and RAG in prod with no coverage?
Get a structured program for agent authority, RAG boundaries, and prompt injection — mapped to the controls your org already uses.
CISOs & Security Leaders
Board wants AI governance evidence?
Produces framework-mapped tasks and evidence requirements your team can review, assign, and execute.
Product Security Teams
Shipping AI features that haven't been assessed?
The Product Security Assessment blueprint covers architecture review, threat modeling, RAG security, agent authority, and release gating.
Red Teams
Need AI-specific attack coverage?
The Red Team Engagement blueprint covers prompt injection, RAG abuse, agent misuse, policy bypass, and unsafe behavior — with remediation sign-off built in.
Delivered in Your Tools
See What It Looks Like in Your Stack
Every blueprint ships as a structured backlog, evidence tracker, and control map — formatted for the project management tool your team already runs. No migration, no retraining.
Agent Workflow Authority Review Program
Map what your agents can do and reduce unsafe authority across tool calls, MCP connections, and workflow actions.
Child Issues · 6
| Issue | Summary | Type | Status | Priority |
|---|---|---|---|---|
| AIS-43 | Map agent tool registry & action scope | In Progress | Critical | |
| AIS-44 | Document approval gate requirements | In Progress | Critical | |
| AIS-45 | Run privilege escalation test suite | To Do | High | |
| AIS-46 | Review MCP server permission boundaries | To Do | Critical | |
| AIS-47 | Generate authority audit evidence pack | To Do | High | |
| AIS-48 | Deploy workflow monitoring hooks | To Do | High |
Also available for Asana, GitLab, Plane, and raw JSON / Markdown.
What Makes It Different
Not a checklist. An implementation backlog.
Security teams fail at AI security because they get frameworks, not programs. The Blueprint Kit gives you something you can actually execute — with the coverage to back it up.
Agent & Workflow Visibility
Enumerate exactly what each agent can read, write, and execute. Map the blast radius of every tool call, scope every MCP connection, and document unsafe authority before it becomes an incident.
RAG Boundary Testing
Run structured tests across tenant boundaries, source provenance, context integrity, and leakage events. Every test case maps to OWASP LLM06, LLM08, and ISO 42001 controls.
Framework Coverage Built In
Every task ships pre-mapped to ISO 42001, NIST AI RMF, OWASP LLM Top 10, MITRE, and SOC 2. Your backlog is your evidence trail — no reconciliation needed.
Audit-Ready Evidence Packs
113 structured evidence requirements generate the exact artifacts your auditor, customer, or certification body needs. Configured per platform — Confluence page, Notion doc, GitHub wiki.
Tool-Native Delivery
Drop into Jira, Linear, Notion, GitHub, Asana, GitLab, or Confluence. Every blueprint is formatted for the tool — not pasted from a PDF. Estimated at 3–6 weeks per program.
How It Works
From Zero to AI Security Program in Weeks, Not Months.
Discover & Assess
We assess your AI systems, workflows, tools, and risks.
Build Your Program
We configure your program templates, backlog, and controls in your tools.
Deliver & Enable
We deliver your evidence pack, dashboards, and team enablement.
Run & Improve
You execute, measure, and continuously improve with confidence.
Blueprint Families
Explore the Corpus Families Behind the Product
AI Security Readiness Program
AI Security Program
A practical operating blueprint for teams building, buying, or deploying AI-enabled systems.
Workstreams
2
Tasks
4
Evidence
8
Docs
5
Components
Controls + Artifacts
Labels: ai-security · program-blueprint · readiness · 49.0 KB JSON / 15.9 KB markdown
RAG Boundary Testing Program
AI Security Program
A program blueprint for validating retrieval authorization, source provenance, context integrity, and leakage boundaries.
Workstreams
3
Tasks
7
Evidence
12
Docs
7
Components
Controls + Artifacts
Labels: ai-security · rag · retrieval · 76.2 KB JSON / 21.6 KB markdown
Agent Workflow Authority Review Program
AI Security Program
A program blueprint for mapping what AI agents can actually do and reducing unsafe authority.
Workstreams
3
Tasks
6
Evidence
13
Docs
7
Components
Controls + Artifacts
Labels: ai-security · agents · tools · 70.1 KB JSON / 19.8 KB markdown
AI Product Security Assessment Program
AI Product Security
A product security assessment blueprint for AI-enabled SaaS features, RAG products, agents, and AI workflows.
Workstreams
3
Tasks
7
Evidence
15
Docs
7
Components
Controls + Artifacts
Labels: ai-security · product-security · assessment · 89.6 KB JSON / 28.1 KB markdown
AI Red Team Engagement Program
AI Red Team
A red-team engagement blueprint for prompt injection, RAG abuse, agent misuse, policy bypass, and unsafe AI behavior.
Workstreams
3
Tasks
7
Evidence
12
Docs
7
Components
Controls + Artifacts
Labels: ai-security · red-team · prompt-injection · 82.5 KB JSON / 24.8 KB markdown
AI Governance Evidence Program
AI Governance
A governance evidence blueprint for ISO 42001, NIST AI RMF, SOC 2 support, and AI risk oversight.
Workstreams
3
Tasks
6
Evidence
11
Docs
7
Components
Controls + Artifacts
Labels: ai-governance · evidence · iso-42001 · 70.1 KB JSON / 22.1 KB markdown
AI Incident Response Program
AI Incident Response
An incident response blueprint for AI security events, prompt injection, data leakage, unsafe actions, and model/provider incidents.
Workstreams
3
Tasks
5
Evidence
8
Docs
7
Components
Controls + Artifacts
Labels: ai-security · incident-response · runbooks · 57.7 KB JSON / 16.2 KB markdown
Trusted by Security-Minded Teams Building AI
“We had agents in production for six months with no formal security program. The Blueprint Kit gave us a real Jira backlog, framework-mapped controls, and an evidence pack we could show our enterprise customers — in under two weeks.”
Built from real product security, AppSec, AI governance, and security engineering practice across AI-native companies.
Ready to Ship
Ready to Launch Your AI Security Program?
Book a free scoping call. We'll map your AI surfaces, pick the right blueprint family, and show what your first program backlog should look like.
SECENG WORKBENCH
Ready to put SecEng Program Blueprint Kit to work?
Scope a Workbench-backed review — we'll map the AI surfaces, identify the highest-priority gaps, and give you clear findings before any larger commitment.
Also in the Workbench
WHAT AI DO WE HAVE?
SecEng Surface Scanner
Browser, repo & IDE discovery for AI assets, vendors, and risky patterns.
WHERE CAN AI CODE BECOME AN ATTACK PATH?
SecEng Code Scanner
AI-native SAST and marketplace readiness for AI-enabled apps, agents, integrations, and managed packages.
WHAT DID IT ACTUALLY DO?
SecEng Runtime Proxy
MITM capture, replay & runtime evidence reconstruction.
HOW CAN IT FAIL UNDER ATTACK?
SecEng Adversarial Range
Scenario-driven AI red-team testing for prompts, agents, tools, RAG, and multimodal systems.
WHAT CAN AGENTS ACTUALLY DO?
SecEng Authority Graph
Agent authority, tool permissions, approval paths & delegated-action risk.
WAS RETRIEVAL AUTHORIZED?
SecEng RAG Test Harness
Test retrieval security & context authorization.
WHERE ARE THE TRUST BOUNDARIES?
SecEng Threat Canvas
Structured AI threat modeling, trust-boundary mapping, and abuse-path planning.
WHAT DO OUR PUBLIC AI CLAIMS REVEAL?
SecEng Trust Scanner
Public trust surface scoring across six AI governance dimensions.
WHERE DO TRUST BOUNDARIES LIVE IN JIRA?
Atlassian Threat Canvas
AI threat models that ship to Jira and Confluence.
DO YOUR AGENTS HAVE TOO MUCH PERMISSION?
SecEng Agent Permission Analyzer
Deterministic permission security analysis for AI agent tool configs.
WHAT'S INSIDE YOUR AI ARTIFACTS?
SecEng Artifact Analyzer
Static artifact intelligence for AI security and evidence packaging.
HOW RESILIENT IS YOUR SYSTEM TO INJECTION?
SecEng Injection Harness
Structured prompt injection probes with evidence session export.
ARE YOUR PROMPTS SECURE?
SecEng Prompt Reviewer
Deterministic rule-based scanner for system prompts and RAG corpus documents.
WHO CONTROLS WHAT MODELS CAN DO?
SecEng Model Gateway
Governed AI routing, policy enforcement, and spend control.
IS YOUR MODEL OUTPUT SAFE TO RENDER?
SecEng Output Safety Tester
Deterministic AI output safety analysis across 8 sink types.
WHERE DOES YOUR PROGRAM STAND?
AI Security Program Scorecard
14-domain AI product security baseline with evidence pack generation.
WHAT CAN YOUR AI TOOLS REALLY DO?
SecEng Tool Capsule Analyzer
Analyze MCP servers, OpenAPI specifications, and AI tool definitions to understand capabilities, permissions, and attack surface.
WHERE ARE YOUR PRODUCTION PROMPTS?
SecEng Prompt Asset Scanner
Inventory and review system prompts, developer prompts, agent instructions, and prompt templates for security risks.
WHAT CAN YOUR AGENTS ACTUALLY DO?
SecEng Agent Authority Diff
Compare declared permissions with observed capabilities to identify excessive agent privileges and unsafe tool access.
WHICH AI DEPENDENCIES CHANGE RELEASE RISK?
SecEng Supply Chain Scanner
Identify AI-specific dependency, model loader, framework, and supply-chain security risks.
CAN YOU PROVE WHAT YOUR EVALS COVER?
SecEng Eval Coverage Auditor
Measure whether AI security evaluations adequately cover prompt injection, tool abuse, RAG, memory, and other critical attack classes.
ARE YOUR AI CONFIGS SAFE TO DEPLOY?
SecEng AI Config Linter
Identify AI-specific dependency, model loader, framework, and supply-chain security risks.
CAN YOU PROVE WHAT YOU'VE DONE?
SecEng Evidence Packs
Buyer-ready evidence artifacts from AI security assessment and testing.