Enterprise AI Trust, Security & Governance

Your AI shouldn’t reach production until it survives the cage.

GlassCage.AI discovers, isolates, attacks, and governs AI systems before they enter trusted environments — evaluating technical security alongside legal, licensing, privacy, supply-chain, and policy risk, then continuously reassessing trust after deployment.

Join Early Access Explore the Platform →

Designed for Security Legal Privacy AI Governance Risk Compliance

PROMPT INJECTION

DATA LEAKAGE

TOOL ABUSE

SUPPLY CHAIN

SECURITY ASSESSMENT ACTIVE

THE GLASSCAGE LIFECYCLE

Discover→Quarantine→Inspect→Attack→Govern→Validate→Certify→Monitor

A SECURITY GATEWAY FOR ENTERPRISE AI

One control plane for the technical and governance risks traditional AppSec doesn’t see.

GlassCage evaluates the entire AI system — models, artifacts, prompts, data flows, agents, tools, MCP integrations, runtime behavior, licenses, legal terms, privacy obligations, policies, and the evidence needed for enterprise approval.

AI Registry & Discovery

Inventory models and AI systems, track ownership, versions, provenance, dependencies, deployment targets, and security state.

Quarantine & Inspection

Hold untrusted artifacts outside production while validating files, model packages, metadata, malware indicators, and supply-chain provenance.

Sandbox Runtime Testing

Execute AI components inside controlled environments to observe runtime behavior, network activity, unsafe calls, and sandbox escape attempts.

AI Red-Team Campaigns

Run repeatable attack suites for jailbreaks, prompt injection, system-prompt extraction, policy bypass, data exfiltration, and adversarial behavior.

Agent, Tool & MCP Security

Assess tool permissions, MCP servers, agent chains, indirect prompt injection, confused-deputy risks, privilege boundaries, and unsafe automation.

Legal, Licensing & Governance

Review model and dataset licenses, commercial-use restrictions, third-party terms, IP and provenance concerns, privacy obligations, data handling, and organizational AI policies.

Regulatory & Policy Readiness

Map assessment evidence to enterprise governance requirements and relevant AI regulatory obligations, with findings routed to the right Security, Legal, Privacy, Risk, or Compliance owner.

Evidence & Human Approval Gates

Turn technical and governance findings into traceable evidence and remediation workflows. GlassCage supports expert review — it does not replace legal counsel or silently approve risk.

ATTACK THE SYSTEM, NOT JUST THE MODEL

Security testing built around real AI failure modes.

Static scanning alone cannot tell you what an AI system will do under pressure. GlassCage combines artifact inspection with controlled adversarial execution.

Prompt injection & jailbreak resistance
Sensitive data leakage & memorization
System prompt and hidden-context exposure
Unsafe tool invocation and privilege escalation
MCP trust-boundary and server assessment
Runtime network and filesystem behavior
Model and dependency supply-chain risk
Sandbox isolation and escape testing

attack-campaign / gc-2026-0841

$ glasscage assess system customer-support-agent

[01/07] artifact provenance .............. PASS

[02/07] malware & package inspection ..... PASS

[03/07] prompt injection suite ........... 3 FINDINGS

[04/07] secret leakage .................... PASS

[05/07] tool privilege abuse ............. 1 FINDING

[06/07] MCP trust boundary ............... PASS

[07/07] sandbox escape .................... PASS

Assessment complete: 4 findings require remediation

GOVERN THE AI, NOT JUST THE CODE

Technical security is only one part of enterprise AI trust.

An AI system can resist attacks and still create unacceptable legal, licensing, privacy, contractual, or regulatory exposure. GlassCage brings those concerns into the same assessment and approval workflow.

Model, dataset & open-source license obligations
Commercial-use, redistribution & acceptable-use restrictions
Training-data provenance & documented IP concerns
Vendor, API, tool & MCP contractual terms
PII handling, retention, residency & external processing
Internal AI policy & approved-use requirements
Regulatory-readiness evidence & control mapping
Named Legal, Privacy, Compliance & Risk review

governance-review / gc-2026-0841

$ glasscage govern customer-support-agent

[01/06] model license ...................... PASS

[02/06] dataset provenance ................. REVIEW

[03/06] third-party terms .................. PASS

[04/06] privacy & data handling ............ PASS

[05/06] enterprise AI policy ............... PASS

[06/06] regulatory evidence ................ 2 GAPS

Governance review: Legal / Compliance approval required

GLASSCAGE AI TRUST PASSPORT

Customer Support Agent

GC-SYS-000184 · Version 3.7.2

GC✓

Trust StateAPPROVED

Risk Score18 / 100

Critical Findings0

Valid Through90 DAYS

Artifact Integrity

Adversarial Resilience

Data Protection

Tool / Agent Controls

Legal & Licensing

Privacy & Governance

MAKE AI SECURITY PORTABLE

An AI Trust Passport for every AI system.

The GlassCage AI Trust Passport gives Security, Engineering, Legal, Privacy, Compliance, Risk, Governance, and Audit teams a shared answer to one question: Can this AI system be trusted and approved for enterprise use?

Each passport summarizes identity, assessment scope, technical security, privacy, legal and licensing review, supply-chain posture, governance findings, retained evidence, named human approvals, trust status, and reassessment date.

Get early access to AI Trust Passports →

ENTERPRISE DEPLOYMENT MODEL

Central governance. Private execution when you need it.

Use the GlassCage SaaS control plane for governance and orchestration, with optional private runners inside customer-controlled environments for sensitive or quarantined testing.

GLASSCAGE.AI

SaaS Control Plane

Registry · Policies · Legal Review · Campaigns · Findings · Evidence · Approvals · Trust Passports

Encrypted orchestration⇄

CUSTOMER ENVIRONMENT

Private Security Runner

Quarantine · Scanning · Sandbox · Red Team · Runtime Inspection

Model RepositoriesAI ApplicationsAgents & MCPCI/CD Pipelines

Assume AI artifacts are untrusted.

Assessment begins outside the trusted production boundary.

Evidence over assertions.

Security decisions are backed by reproducible tests and retained evidence.

Human approval stays explicit.

Automation informs the gate. It does not silently approve risk.

Certification is never permanent.

Material change, drift, or new intelligence can trigger reassessment.

PRIVATE EARLY ACCESS

Put your AI through the cage.

We’re working with Security, Legal, Privacy, Compliance, Risk, Governance, and AI leaders who want a defensible trust gate before AI systems reach production.