The Unified Standard for Enterprise AI Governance & Red Teaming
A definitive dual-pillar assurance platform for enterprise AI systems. Audit organizational policy and compliance readiness with EI-GDA (Evidence-driven Intelligent Governance & Digital Assurance) and stress-test model robustness with SILA (Safety and Integrity Lab for AI Red Teaming) against ISO/IEC 42001, NIST AI RMF, EU AI Act, and OWASP LLM Top 10.
Platform 01: EI-GDA
Evidence-driven Intelligent Governance & Digital Assurance: Automated policy and evidence auditing tool mapping algorithmic data lineage, corporate accountability, and risk controls against ISO/IEC 42001 and NIST AI RMF.
Environment 02: SILA Red Teaming
Safety and Integrity Lab for AI Red Teaming: Advanced empirical laboratory for automated adversarial jailbreak fuzzing, prompt injection resistance, demographic fairness parity, and inference robustness benchmarking.
Comprehensive AI Trust & Safety Infrastructure
True enterprise assurance requires both structural governance compliance and empirical technical stress-testing. AgentOS unifies both layers into a single verifiable workflow.
1. EI-GDA (Governance & Digital Assurance)
Evaluates institutional policy readiness, algorithmic data lineage, personal data protection (GDPR/CCPA/privacy frameworks), and enterprise risk management under ISO/IEC 42001, NIST AI RMF, and the EU AI Act.
2. SILA Red Teaming (Safety & Integrity Lab)
Production-grade sandbox for red-teaming Foundation LLMs, Computer Vision models, and Predictive AI systems against sophisticated adversarial attack vectors and drift.
Live Interactive Policy & Red-Teaming Simulator
Experience real-time evidence-driven governance auditing (EI-GDA) and adversarial model red-teaming (SILA) with live diagnostic scoring and gap reporting.
TARGET: ENTERPRISE AUTONOMOUS AGENT SWARM DEPLOYMENT POLICY
"Enterprise Autonomous Workforce Governance Directive (AIMS-01): - All autonomous agents operating with external tool access must possess a verifiable RS256 JWT cryptographic identity with maximum 15-minute token expiry. - Every tool invocation and financial transaction requires pre-execution Layer 4 BudgetGuard validation and pessimistic row-locking (SELECT ... FOR UPDATE). - Third-party API credentials must never be passed to LLM prompts or agent memory; credentials reside strictly within an AES-256-GCM Zero-Knowledge Secret Vault. - Any agent run dropping below a calibrated Grounding Score of 0.70 must immediately trigger automated quarantine and token revocation."
Public AI Benchmark Suites for Empirical Red-Teaming
Standardized open-source benchmark suites for rigorous model evaluation across 3 high-stakes enterprise domains, each tested along Accuracy, Bias, and Parameter Stability dimensions.
Enterprise Regulatory & Legal AI Benchmark
Standardized benchmark suite for evaluating AI models in statutory interpretation, contractual risk extraction, regulatory compliance analysis, and corporate legal advisory with strict zero-hallucination thresholds.
Accuracy & Precision (Legal QA & Statutory Citation)
Measures factual recall and statutory precision in multi-clause regulatory disputes, verifying exact citation mapping and eliminating hallucinated precedents.
Evaluating cross-border personal data transfer provisions under GDPR Article 46 Standard Contractual Clauses vs. regional statutory exemptions.
Supported Global Standards & Compliance Frameworks
Engineered to satisfy the world's most rigorous AI risk management frameworks and statutory mandates.
Artificial Intelligence Management System (AIMS)
The premier global management standard specifying enterprise requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS).
NIST AI Risk Management Framework 1.0
Foundational guidance framework providing practical, risk-based methodologies to improve the trustworthiness and safety of AI systems across 4 core functions: GOVERN, MAP, MEASURE, and MANAGE.
European Union Harmonised Rules on AI
Comprehensive statutory regulation establishing a risk-categorized regulatory baseline for AI systems operating in global commerce, covering high-risk classification, transparency, and automated incident reporting.
Information Technology — AI — Risk Management
Provides structured guidance on managing AI-specific risks faced by organizations throughout the entire system lifecycle, fully harmonized with ISO 31000 risk management principles.
OWASP Top 10 for Large Language Model Applications
The global security benchmark cataloging the most critical security vulnerabilities found in LLM deployments, including Prompt Injection, Sensitive Data Disclosure, and Insecure Output Handling.
Model Process for Addressing Ethical Concerns in System Design
International standard establishing a structured systems-engineering methodology to address ethical values, transparency, and human well-being from early system conceptualization through retirement.
OECD Principles on Trustworthy Artificial Intelligence
Intergovernmental values-based principles promoting innovative, trustworthy AI that respects human rights, democratic values, robust cybersecurity, and verifiable algorithmic accountability.
4-Stage Independent Certification Journey
A deterministic, transparent process delivering verifiable compliance for your enterprise AI workforce.
1. Intake & Evidentiary Discovery
Register AI system scope, upload corporate policy documents, system prompts, and architectural topology.
2. Governance Assurance (EI-GDA)
Automated engine cross-references evidence against ISO 42001 and NIST AI RMF with independent expert review.
3. Empirical Red-Teaming (SILA)
Connect model weights or sandbox API to SILA for automated jailbreak fuzzing, injection defense, and bias audits.
4. Cryptographic Trustmark Issuance
Receive formal certification report and an immutable SHA-256 Digital Trustmark recorded on the Layer 6 ledger.
Ecosystem Value Across Enterprise Principals
Built to elevate trust, reduce corporate liability, and verify safety for mission-critical AI adoption.
Government & Regulatory Authorities
Enforce public safety, accountability, and citizen trust with standardized evidentiary frameworks.
Enterprise Leadership & Regulated Sectors
Mitigate catastrophic legal risk, protect corporate IP, and accelerate compliant AI commercialization.
AI Engineers & Foundation Model Labs
Empirically validate robustness, eliminate jailbreak vulnerabilities, and ensure deterministic outputs.
Frequently Asked Questions
Technical and operational insights regarding the EI-GDA Assurance framework and SILA Red Teaming Lab.
Need Assistance or Portal Access?
Connect with our AI governance officers for guided consultation and sandbox provisioning.
Calculate Certification Quote & Issue Digital Trustmark
Deterministic real-time quote calculation based on model modality and regulatory risk tier. Certified systems receive an immutable SHA-256 seal.
Itemized Quote Estimate
// Deterministic Parity
Both tracks combined with 15% package discount + Official Digital Trustmark issuance.
// Included Compliance Deliverables
- ISO/IEC 42001:2023 AIMS Technical Alignment
- NIST AI RMF 1.0 (Govern, Map, Measure, Manage)
- EU AI Act (2024/1689) & Data Governance
- Cryptographic Digital Trustmark & Ledger Seal
Quote estimates reflect standard system scope based on self-reported architecture parameters. Complex custom pipelines or bespoke on-premises models may be subject to scoping review.