The Trust Infrastructure for AI Systems
We help enterprises prove their AI systems are safe, compliant & audit ready, before regulators, customers or lawsuits force them to.
Trusted by legal teams, AI founders, and institutional partners navigating high-risk AI deployments. SIGL provides independent AI governance, verification, and audit-ready evidence while powering the next generation of AI risk leaders, fellows, and institutions.
AI Penetration Testing
We simulate real-world attacks on your AI system to expose legal, security and reputational risks before they cost you millions.
AI Risk Readiness Sprint
Initial system assessment identifying risk exposure, governance gaps and operational vulnerabilities.
Defensible AI Sprint
Advanced structuring of AI systems into defensible auditable frameworks aligned with compliance expectations
AI Penetration Testing
(AI Pen Test)
Strategic Scoping
What it is:
An adversarial and behavioral assessment of an AI system to identify vulnerabilities, misuse scenarios, governance gaps and failure modes.
What it includes:
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Threat modeling for AI‑specific risks
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Prompt misuse & abuse testing (where applicable)
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Data leakage & system behavior analysis
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Governance control evaluation
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Evidence‑backed findings report
What makes it different:
This is not traditional cybersecurity testing.
It focuses on AI‑specific behavior, misuse and governance exposure, not just infrastructure.
Typical use case:
“We need to understand how this AI system could fail, be abused or expose us to liability.”
AI Governance Verification
and Evidence Generation
Full Spectrum Scoping
SIGL’s flagship service:
Independent verification of AI governance practices with audit‑ready, time‑stamped evidence.
What it includes:
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Verification of governance controls in practice (not just policy)
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Independent observation of AI system behavior
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Evidence artifacts suitable for:
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Audits
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Regulators
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Insurers
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Internal governance
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Neutral third‑party validation
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Why this matters:
Self‑attestation is increasingly insufficient. SIGL provides independent proof, not internal claims.
Typical use case:
“We need to demonstrate that our AI governance is real, not just documented.”
Ongoing AI Monitoring and Longitudinal Governance
Continuous Scoping
What it is:
Continuous or periodic oversight that tracks AI system behavior, governance posture, and risk over time.
What it includes:
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Scheduled monitoring intervals
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Change detection (behavioral, governance, or risk drift)
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Updated verification records
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Ongoing evidence trail
Why it’s important:
AI risk is not static. Governance must be maintained, not checked once.
Typical use case:
“We need continuous oversight so governance keeps pace with system changes.”
Pathways to suit your needs
SIGL provides independent AI governance, verification, and audit‑readiness services for organizations deploying AI systems in regulated, high‑risk, or high‑liability environments. We operate as a neutral third party that produces verifiable evidence of AI behavior, risk posture, and governance practices over time.
Proof, Not Promises. Real verification. Timestamped. Audit-ready.
SIGL verifies how AI systems behave in production and produces audit ready evidence without exposing customer data.
JAN 01 2026
JAN 15 2026
FEB 05 2026
Report Recorded
Hash Required
Verification receipt
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526373t27vtyf2272i72662ge...
AI Governance Risk Scoping
A structured advisory engagement to help organizations understand where AI systems introduce legal, operational, ethical, or security risk before formal audits or incidents occur. What it includes: > AI system inventory review > Risk surface identification (bias, misuse, drift, security, compliance) > Governance maturity assessment > Regulatory exposure discussion (current + emerging) > Written findings summary Who it’s for > Legal teams > Compliance & risk leaders > Executives evaluating AI deployment readiness Typical use case: “Before we scale or deploy this AI system, we need an independent risk and governance perspective.”
Audit, Legal & Regulatory Readiness Support
Support services designed to help organizations prepare for or respond to audits, regulatory inquiries, or legal scrutiny involving AI systems. What it includes Evidence organization and presentation support Governance documentation review Third‑party verification summaries Expert context for auditors, insurers, or counsel Important distinction SIGL does not provide legal advice — we provide evidence and verification that legal teams can rely on. Typical use case “We’re facing an audit, inquiry, or due‑diligence request involving AI.”
AI Governance Advisory for Insurers, Auditors & Partners
Selective advisory engagements supporting third parties who need independent AI governance insight. What it includes Governance framework interpretation Risk classification guidance Verification methodology explanations Neutral expert input Availability Offered selectively to preserve independence and neutrality.
AI Governance Advisory for Municipalities(Smart City Initiative)
Selective advisory engagements supporting third parties who need independent AI governance insight. What it includes Governance framework interpretation Risk classification guidance Verification methodology explanations Neutral expert input Availability Offered selectively to preserve independence and neutrality.
AI Investment Risk Council
Advisory for Investors, Family Offices & Institutional Capital. SIGL is a pre-decision intelligence layer for investors before capital is deployed. Moving forward, AI investment without verification will not be sustainable. AI Investment Without Verification Is a Risk You Can’t Afford What it typically includes: Executive Risk Summary (investor-friendly) AI System Validation (is it real vs AI-washed) Technical Architecture Review Data Risk + Compliance Exposure Security Vulnerability Assessment (light penetration testing) Governance & Operational Risk Review SIGL Risk Scorecard™ 60–90 min advisory call Typical use case: “Is this AI company safe, real, scalable, and investable or are we missing something?”
The SIGL Ecosystem
Not just tools. A full-stack AI governance infrastructure.
AI systems are being deployed faster than they can be governed. Today, there is no independent, verifiable authority that organizations can rely on to prove how AI behaves over time.
SIGL fills this gap providing continuous verification, audit-ready evidence and a foundation for trust in the AI economy.
Think credit bureaus but for AI systems.