Public AI Trust Signal Scoring
Find gaps in public AI security claims before buyers do.
SecEng Trust Scanner reviews public trust pages, policies, AI claims, subprocessors, security language, evidence surfaces, and customer-facing documentation to identify unsupported claims, missing caveats, outdated language, and buyer-review gaps.
Six-dimension public scorecard
Score AI systems across legal clarity, governance evidence, security trust, and operational transparency.
Artifact presence detection
Detect published security documentation, data policies, audit records, and trust signals.
Domain scan workflow
Scan any AI product domain for public trust artifacts and signal presence.
Chrome extension
In-browser trust scoring while browsing AI vendor sites and product pages.
VS Code integration
Score AI SDK and model provider trust signals from within the development environment.
Core capabilities
What SecEng Trust Scanner does.
Six-dimension public scorecard
Scores AI claims, legal clarity, security trust, governance evidence, consistency, and remediation opportunity from public-facing pages. Produces a directional ATG signal, not a private assessment claim.
Artifact presence detection
Checks for privacy policy, terms of service, AI usage policy, AI governance hub, trust center, secure SDLC page, vulnerability disclosure, subprocessors list, DPA, and responsible AI principles.
Domain scan workflow
Input a domain, crawl public trust pages, extract artifact signals, score six dimensions, surface findings, and produce improvement guidance — in one structured scan workflow.
Chrome extension
Run a trust scan inline on any public page from the side panel. The same ATG six-dimension scorecard appears in context without leaving the browser.
VS Code integration
Scan vendor trust surfaces from inside VS Code while reviewing AI dependencies. Trust signal data flows into the shared savvy-stacks catalog.
In-app mini-apps
Embedded trust scanner surfaces appear inside RAG pipeline reviews, authority graph views, and procurement workflows — inline trust signal at the point where dependency decisions happen.
SECENG WORKBENCH
Ready to put SecEng Trust Scanner 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.
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.
WHAT DOES YOUR AI SECURITY PROGRAM LOOK LIKE?
SecEng Program Blueprint Kit
Complete AI security program structure for Jira, Confluence, and Linear.
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.