Is Your AI Ready?
HAIEC answers that question at three depths: quick governance checks, deep security scans, and pre-launch validation. Built to answer the questions Program Managers and risk owners are accountable for, without turning them into AI security specialists.
External AI Risk Snapshot
Public disclosures only · Deterministic execution · Immutable artifacts · No AI verdicts
Assess an external AI toolDeterminism
Same inputs, same outputs
Reproducibility
Every result verifiable
Transparency
Public proof pages
No AI Inference
Rule-based engines only
One Question, Three Depths
Each depth is designed so a Program Manager can understand the result, explain it internally, and act on it, even when engineers run the scans.
Governance Check
See if your AI project has basic controls in place, without touching your code.
What this does NOT do: Does not analyze code. Does not test behavior.
Risk & Readiness Analysis
Understand where your AI has gaps in code structure and compliance posture.
What this does NOT do: Does not test live systems. Does not certify compliance.
Pre-Launch Validation
Test how your AI actually behaves before you ship it, with controlled attack simulations.
What this does NOT do: Does not prove absence of all vulnerabilities. Requires authorization.
Not sure where to start? Most teams begin with a Governance Check to get quick visibility, then move to Risk Analysis when preparing for audit or compliance review.
Free Resources
Download our open-source tools and frameworks
Everything You Need to Govern AI
Production-ready APIs that scale with your needs
Bias Detection
Deterministic detection across 6 bias categories: gender, age, race, disability, socioeconomic, and intersectional.
Behavioral Monitoring
Track AI decision-making patterns over time. Catch drift before it becomes a compliance violation.
Audit Trails
Immutable, cryptographically signed audit logs. Export compliance-ready reports in seconds.
Drift Detection
Rule-based analysis of behavioral consistency. Get alerted when AI outputs start drifting from baseline.
Developer-First
RESTful API, npm and PyPI packages. Integrate in minutes.
Blazing Fast
Sub-60 second scans. Deterministic results on every run.
Why Teams Trust HAIEC
We earn trust through transparency, not testimonials. Inspect our methodology, read our research, and verify our claims.
Methodology Aligned With
Built For Teams Like Yours
- Compliance Officers tired of spreadsheets
- Developers who need API-first compliance
- Startups facing their first SOC 2 audit
- Teams deploying AI in regulated industries
Enterprise-Grade Compliance Infrastructure
Deterministic engines covering major AI regulations. From SOC 2 to EU AI Act, our Python-powered systems deliver audit-ready evidence.
Attestation Signals in Every PR
Install the HAIEC GitHub App to collect evidence signals automatically. Get trust artifacts and embeddable verification badges for your repositories.
- 1.Collects 10 deterministic signals from your repository
- 2.Posts attestation readiness to pull requests
- 3.Generates verifiable trust artifacts with embeddable badges
- - SOC2 CC6.1 - Branch protection not enabled
- - SOC2 CC7.1 - Dependabot not enabled
- - SOC2 CC1.1 - Missing SECURITY.md
What You Get
Concrete outputs, not promises
Automated Scan
200+ deterministic rules run on every PR. Results in under 60 seconds.
Trust Artifact Generated
Cryptographically signed, machine-verifiable compliance evidence.
Embed & Verify
Add badge to README. Anyone can click to verify authenticity.
Install and Integrate in Minutes
Production-ready packages available on npm and PyPI. No vendor lock-in.
llmverify
npm package100% local LLM security verification. Prompt injection and PII detection with zero network requests.
npm install llmverify@haiec/kill-switch-sdk
npm package5-layer AI system kill switch. Manual, semi-automated, and fully automated shutdown modes.
npm install @haiec/kill-switch-sdkisaf-logger
PyPI packageInstruction Stack Audit Framework. Add 3 lines, get EU AI Act-ready documentation.
pip install isaf-loggerEnterprise-Grade Security & Reliability
Stop Testing AI with AI
Most compliance tools use AI to audit AI. That's like asking a student to grade their own exam.
HAIEC is different. We use deterministic engines with 10+ security rules. Same input = same output, every time.
AI Testing AI
- • Different results each time
- • No audit trail
- • Regulators won't accept it
- • Black box explanations
HAIEC's Approach
- • Deterministic Python engines
- • 100% reproducible results
- • Audit-grade evidence
- • Regulator-ready reports
Why It Matters
- • Court-defensible evidence
- • Pass audits with confidence
- • No probabilistic guesses
- • Built for enforcement
Our Engines Are Python, Not AI
Every bias pattern, every compliance rule, every audit check runs on deterministic code. No hallucinations. No randomness. Just facts.
Discover Your AI Readiness Score
Take our comprehensive 18-question assessment to evaluate your organization's AI maturity across Strategy, Data, Infrastructure, Governance, Talent, and Use-Case Readiness.
- Instant score across 6 key pillars
- Personalized recommendations
- Free 30-minute consultation
Average Readiness Score
The CSM6 Framework
Six-layer behavioral governance model for AI systems that actually behave, drift, and adapt
Not static documentation. Not aspirational guidelines. Evidence-first oversight for production AI.
Scope Alignment
Keeps AI aligned with human objectives - ensures your AI investments support business goals while protecting against regulatory risks
System Mapping
Complete visibility of AI architecture - comprehensive inventory of all AI systems, dependencies, and risk concentrations
Signal Monitoring
Event-driven drift detection - early warning indicators triggered on code changes and PR events
Structured Delivery
Standardized AI development process - balances AI speed with necessary human oversight through automatic pause points
Strategic Learning
Organizational memory & improvement - transforms project experiences into institutional knowledge that survives turnover
Compliance Oversight
Regulatory mapping & audit readiness - compliance evidence collection across frameworks with automated reporting
Why Traditional Compliance Fails for AI
Static Documentation
AI changes behavior post-deployment. PDFs don't.
Training-Time Testing
Production behavior ≠ training behavior.
Checkbox Audits
Regulators want evidence, not checkboxes.
Behavioral Evidence
CSM6 tracks what AI actually does in production.
Event-Driven Verification
Re-verify on every PR and code change.
Audit-Ready Reports
Evidence regulators and auditors accept.
How HAIEC Works
We don't just check outputs. We reconstruct behavioral chains and provide audit-grade explanations.
Behavioral Reconstruction
Map how your AI made each decision across time, context, and internal states.
Drift Detection
Track gradual changes in reasoning and consistency before they become failures.
Audit-Grade Evidence
Structured reports explaining what happened, why, and which compliance expectations were affected.
Real-World Case Studies
Documented investigations into how AI systems drift, fail, and get reconstructed.
Hiring Bot Consistency Failure
A resume screening tool gave identical candidates different scores weeks apart, revealing instruction sensitivity patterns the vendor never documented.
Read investigation →Customer Service Tone Drift
Support chatbot responses became increasingly terse. Behavioral fingerprinting caught reward-seeking behavior from implicit length penalties.
Read investigation →Research-Backed Solutions
Our frameworks are built on peer-reviewed research published in academic literature
ISAF Framework
Published December 2025 | DOI: 10.5281/zenodo.18080355
A nine-layer technical methodology for tracing AI accountability from hardware substrate to emergent behavior. Addresses the fundamental traceability gap in AI governance with a 127-checkpoint audit protocol.
Deterministic Bias Detection
Published December 2025 | DOI: 10.5281/zenodo.18056133
Why reproducibility matters more than accuracy for NYC Local Law 144 compliance. A technical framework using rule-based pattern matching and cryptographic evidence generation for audit trails.
Built for Developers Who Ship AI
npm and PyPI packages that integrate into your workflow
Deterministic Bias Detection
Python-based engines that produce identical results for identical inputs. No probabilistic guessing—just reproducible, auditable outputs.
- Same input = Same output, always
- Integrate via REST API or Python SDK
- Run in CI/CD pipelines
Behavioral Drift Monitoring
Track how your AI system's behavior changes over time. Catch consistency failures before they reach production.
- Automated consistency checks
- Historical behavior tracking
- Alert on drift thresholds
Fast Integration
RESTful APIs designed for developers. No complex SDKs, no vendor lock-in. Just HTTP requests and JSON responses.
- OpenAPI/Swagger docs
- Code examples in 5+ languages
- Webhook support for async jobs
Risk-First Approach
Built for teams who understand that AI systems can fail silently. Our tools help you catch issues before they become incidents.
- Detect hiring bias patterns
- Monitor tone drift in chatbots
- Audit decision consistency
Built with HAIEC
See how ResponsibleAIAudit uses HAIEC APIs to deliver enterprise-grade AI compliance
ResponsibleAIAudit
AI Hiring Compliance & Bias Detection
A complete NYC LL144 compliance platform built entirely on HAIEC's bias detection and behavioral monitoring APIs.
HAIEC APIs Used
Results
"Deterministic engines mean our compliance evidence is reproducible and audit-ready every time."
— HAIEC Engineering Team
Want to build the next ResponsibleAIAudit?
Explore Platform Licensing