Centaurus AI Advisory Practice
Strategic AI governance, compliance automation, and enterprise AI strategy for organizations deploying AI in regulated environments.
Presentation Overview
A structured approach to enterprise AI governance covering framework selection, compliance automation, risk posture management, and AI strategy alignment. Practical guidance for leaders who need actionable governance, not theory.
Key Topics
- AI Governance Framework Selection
- Compliance Automation Architecture
- AI Risk Posture & Mitigation
- Enterprise AI Strategy Alignment
Document Details
- Format: PowerPoint (.pptx)
- Status: Client Ready
- Version: Final
Video Overview
60-second executive overview of the Centaurus practice and its approach to AI governance.
HAIEC Technical Architecture & Defensibility Brief
15-slide technical brief covering platform architecture, evidence lifecycle, framework mapping, decision pipeline, and strategic defensibility.
Covers: Static analysis (91 Semgrep + 15 TS + 82 rulepack) · Runtime testing (269 templates) · Evidence architecture · 13 compliance frameworks · Decision Pipeline (DIS) · Compliance Twin · Kill Switch
HAIEC
Holistic AI Integrity & Evidence Compliance Platform(Patent Pending)
HAIEC is the deterministic engine that powers the Centaurus practice. It solves a fundamental problem in AI assurance: relying on AI to evaluate another AI system is circular. Instead, HAIEC uses deterministic, Python-based testing with predefined rules, measurable checks, and reproducible results. The same evidence produces the same verdict every time.
Deterministic static analysis of AI applications, agents, RAG pipelines, and integrations. Identifies prompt injection paths, unsafe tool access, RAG poisoning, missing authentication, tenant isolation failures, and data leakage.
Authorized adversarial testing against live AI endpoints. Tests for jailbreaks, system prompt extraction, instruction override, data exfiltration, tool forcing, goal hijacking, and multi-turn attack sequences.
Every finding connects to reproducible test evidence. Tamper-evident audit trails, signed evidence packages, and traceable results showing what was tested, what passed, what failed, and what must be fixed.
- No AI testing AI. Deterministic, reproducible assessments.
- Evidence tied to specific technical findings, not subjective judgment.
- Static source-code analysis and runtime adversarial testing in one platform.
- Signed, timestamped evidence artifacts with regulatory and control-framework mapping.
- Compliance built into the evidence layer, not bolted on after the fact.
OWASP LLM Top 10 · NIST AI RMF 1.0 · SOC 2 · ISO 27001:2022 · ISO 42001:2023 · EU AI Act · GDPR · HIPAA · NYC Local Law 144 · Colorado AI Act
Frequently Asked Questions
Established AI governance companies have built strong platforms for global enterprises, Fortune 500 organizations, financial institutions, and companies managing large portfolios of AI systems.
HAIEC creates a complementary market position for:
- Software companies
- SaaS providers
- AI startups
- HR technology companies
- Staffing and recruiting platforms
- Business automation companies
- Mid-sized organizations adopting AI
- Technology vendors preparing for enterprise customers
These organizations increasingly need credible AI security, governance, and compliance evidence, while often preferring a focused engagement that produces an immediate outcome. HAIEC provides that entry point through productized assessments, technical findings, and evidence-backed remediation plans.
These presentations are confidential and intended for authorized recipients only.
Questions about the Centaurus practice or HAIEC technical deck? Get in touch