SichGate
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Independent Red-Teaming
for AI/ML Systems

Close the Gap Between Policy and Behavior

SichGate provides automated adversarial testing for organizations deploying Small Language Models (SLMs) in production. We measure the gap between what your model is supposed to do and what it actually does under attack, before regulators, auditors, or adversaries exploit it.

Try Open Source SimulatorDocumentationView on GitHub

The Policy-Model Gap:
AI/ML's Biggest Compliance Risk

Organizations deploying AI/ML systems face a systemic problem: models violate their own policies under adversarial pressure. Systematic, exploitable gaps that emerge because organizations optimize for performance metrics, not adversarial robustness.

Why the Gap Exists

  • >Organizations optimize for accuracy and speed, not adversarial robustness
  • >Internal testing uses expected inputs, not adversarial attacks
  • >"Red-teaming" is manual, expensive, and doesn't scale
  • >No independent verification, companies self-certify compliance

The Real Cost

  • >EU AI Act fines: up to 6% of global revenue (enforcement begins 2027)
  • >Training data extraction exposes proprietary IP and PII
  • >Prompt injection bypasses safety guardrails in production
  • >Failed third-party audits block enterprise contracts

The State of AI/ML Security in 2025-2026

Industry data reveals a dangerous disconnect between security claims and reality:

78%

lack systematic adversarial testing

1 in 3

LLMs vulnerable to data extraction

€35M

max EU AI Act fine per violation

2027

full EU AI Act enforcement begins

Sources: Stanford AI Index 2025, EU AI Act Article 71, IBM Cost of AI Incidents Report 2024

Who Is SichGate For?

For AI Engineers

Test Like an Attacker, Ship with Confidence

  • Run automated adversarial tests in CI/CD before deployment
  • Catch prompt injection, jailbreaks, and data extraction early
  • Generate reproducible test reports for security reviews
  • White-box testing for models you control, black-box for third-party APIs

For Compliance Teams

Independent Verification You Can Show Auditors

  • Map test results directly to GDPR Article 32, NIST AI RMF, EU AI Act requirements
  • Generate audit-ready compliance reports with quantifiable metrics
  • Track policy adherence across model versions and fine-tuning iterations
  • Third-party validation - your org didn't grade its own homework

For Security Teams

Automate What Manual Red-Teaming Can't Scale

  • Run attack suites based on published research (Carlini L2, HopSkipJump, SIMBA)
  • Test across access levels: full model weights, API scores, or label-only
  • Quantify decision boundary weaknesses with L2 distance metrics
  • Continuous testing, not point-in-time assessments

For Researchers

Build on Open Foundations, Contribute Novel Techniques

  • All attack implementations are open-source and auditable
  • Reproduce policy-model gap research or extend with your own methods
  • Integrate new adversarial techniques from latest papers
  • Collaborate with us, we're actively researching this space

Built on Research, Trusted by Experts

Academic Foundation & Open Methodology

Academic Foundation

SichGate implements attack techniques from leading ML security research:

  • Carlini & Wagner (2017) - Adversarial examples
  • Wallace et al. (2019) - Universal adversarial triggers
  • Perez et al. (2022) - Prompt injection attacks
  • Carlini et al. (2023) - Training data extraction

Open Methodology

Every test is open source and auditable. No security through obscurity.

View on GitHub

Compliance Ready

Tests map directly to:

  • HIPAA § 164.308(a)(1)(ii)(A) - Security Risk Analysis
  • GDPR Article 32 - Security of Processing
  • NIST AI Risk Management Framework
  • ISO/IEC 27001 - AI Security Controls

Pricing

Free Tier

Open Source

$0 forever

  • Complete 35-test battery
  • Local or API testing
  • JSON and Markdown reports
  • Community support via GitHub
  • Unlimited testing
Get Started Free
Coming Q3 2025

Pro Tier

For teams and enterprises

Custom pricing

  • Automated attack optimization (Optuna)
  • Web dashboard with historical tracking
  • Scheduled/continuous monitoring
  • Audit-ready AIBoMs (AI Bills of Materials)
  • Full suite for data extraction/membership inference
Book a Demo

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FAQ

Is it really free?

CLI is open-source forever. Platform features will be paid.

Do you see my code?

No. Everything runs locally. We see nothing.

Can I contribute?

Yes. We're open-source. Join us on GitHub.

Product

  • Open Source Toolkit
  • Platform (Coming Q3 2025)
  • Pricing
  • Documentation

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Built for ML engineers, compliance teams, and security researchers who refuse to accept "trust us, it's safe" as verification.

© 2025-2026 SichGate. Open-source toolkit licensed under MIT. Platform terms apply to paid tiers.