SichGate AI Governance
Turn model testing into governance evidence.
SichGate delivers managed AI governance audits for organizations deploying language models in regulated environments. We combine adversarial testing with expert review to document how your model actually behaves, and map those findings to the frameworks your regulators, auditors, and customers expect.
Managed audits for organizations accountable for their AI.
Who this is for
Organizations that must demonstrate responsible AI use to external stakeholders.
Healthcare and life sciences
Organizations deploying AI in clinical, patient-facing, or health data workflows.
Financial services and fintech
Companies using AI in customer interactions, risk decisions, or regulated processes.
Legal and professional services
Firms relying on AI for research, drafting, or client-facing work.
Defense and public sector
Organizations requiring documented assurance for AI systems.
See SichGate for DefenseCompliance, risk, and legal teams
Teams responsible for AI oversight, procurement, and vendor due diligence.
Audit and advisory firms
Firms seeking technical testing to support their AI assurance engagements.
The challenge
Policies do not prove behavior.
Most AI governance programs rely on policies, questionnaires, and vendor documentation. These describe how a model is intended to behave. They rarely show how it behaves under adversarial pressure, or whether safety holds once the model has been fine-tuned and compressed for production.
Regulators and auditors are increasingly asking for evidence, not intent. Organizations that cannot demonstrate tested model behavior face audit findings, procurement delays, and exposure when a model fails in production.
SichGate provides that evidence: documented, reproducible testing of the model you actually deploy, interpreted and mapped by specialists.
What the audit covers
Five parts, from testing to expert review.
Adversarial safety testing
Your model is tested against SichGate's adversarial probe battery, covering harmful content, jailbreaks, prompt injection, data leakage, and domain-specific risks.
Lifecycle drift analysis
Base, fine-tuned, and quantized versions of your model are compared to identify where safety behavior changes between development and production.
Privacy and data handling review
Evaluation of how the model handles regulated and sensitive data, including:
Protected Health Information (PHI)
Whether the model discloses, infers, or retains patient health information.
Personally Identifiable Information (PII)
Leakage, memorization, and re-identification risks.
Confidential business data
Exposure through prompt injection, extraction attacks, or unsafe outputs.
Framework mapping
Findings are mapped to relevant governance frameworks, privacy regulations, and standards, including:
AI governance
- EU AI Act
- NIST AI Risk Management Framework
- ISO/IEC 42001
Privacy and data protection
- HIPAA (Privacy and Security Rules)
- GDPR
- CCPA / CPRA
AI security
- OWASP Top 10 for LLM Applications
- MITRE ATLAS
Plus sector-specific requirements relevant to your industry.
Expert review
Every audit is reviewed and interpreted by SichGate specialists, so findings are prioritized by real-world risk rather than raw test counts.
What you receive
Documentation built for review by people outside your team.
Executive summary
For leadership, boards, and non-technical stakeholders.
Detailed technical findings
By risk category and model lifecycle stage.
Framework mapping report
Linking each finding to relevant regulatory, privacy, and standards requirements.
Remediation guidance
Prioritized, actionable recommendations.
AI Bill of Materials (AI-BOM)
Documenting the model, its versions, and its configuration.
Audit-ready evidence package
Signed, tamper-evident logs suitable for auditor and regulator review.
SichGate attestation tier
SG-1 through SG-4, reflecting the model's audited safety posture.
How it works
From scoping to re-audit.
- 1
Scoping
We work with your team to understand the model, its use case, its deployment environment, the data it handles, and the frameworks that apply to your organization.
- 2
Testing
SichGate runs adversarial, privacy, and drift testing against your model in the environment that fits your requirements, including on-premises and air-gapped configurations.
- 3
Analysis and mapping
Our specialists review results, filter noise, assess severity, and map findings to the applicable frameworks and regulations.
- 4
Reporting and review
We deliver the full audit report and evidence package, and walk your team through the findings and remediation priorities.
- 5
Re-audit
After remediation, the model can be retested to verify fixes and update your evidence record.
Automated testing and managed audits
Two complementary services. Many organizations use both.
The SichGate Platform
Automated adversarial testing for engineering teams, used as a pre-release gate in the development process.
Start free assessmentSichGate AI Governance
A managed, expert-delivered audit for organizations that require framework mapping, documented evidence, and specialist interpretation.
Request an auditThe platform for continuous testing during development, and the managed audit for governance, compliance, and procurement requirements.
Frequently asked questions
Is a SichGate audit a formal regulatory audit or certification?
No. A SichGate audit is an independent technical audit of model behavior, with findings mapped to relevant frameworks and regulations. It does not constitute legal advice, a regulatory conformity assessment, or a formal certification by a regulator or accredited body. We recommend reviewing results with your legal and compliance advisors.
How does this relate to our external auditors?
SichGate complements the work of external auditors and advisory firms by supplying the technical testing evidence that policy-based reviews cannot provide. We also partner directly with audit and advisory firms.
Do you need access to our model weights?
Lifecycle drift analysis requires weight access, since it compares model versions directly. API-only models can be audited through behavioral testing. Where required, testing can run entirely within your infrastructure.
Which models can be audited?
SichGate audits language models, including base, fine-tuned, and quantized versions.
How is our data handled?
Audit data is handled under strict confidentiality. For organizations with heightened requirements, testing can be performed on-premises or in air-gapped environments so that no data leaves your control.
Can SichGate audit models that process PHI or personal data?
Yes. Audits can be performed entirely within your infrastructure, so PHI and personal data never leave your control.
How do we get started?
Submit the contact form below with a brief description of your organization, your AI use case, and the frameworks relevant to you. A member of the SichGate team will follow up.
Demonstrate how your AI behaves, not only how it is intended to behave.
SichGate AI Governance gives regulated organizations independent, documented evidence of model safety and privacy, mapped to the frameworks that matter to their auditors, regulators, and customers.