12-Sigma AI Safety Compliance

Deterministic AI Compliance
for the EU AI Act Era

The world's first physics-based AI safety framework. 116 deterministic agents replace probabilistic guardrails — delivering mathematically verifiable compliance with 95% less energy than cloud-based alternatives.

116
AEGIS Agents
<5ms
P95 Latency
12σ
Safety Level
95%
Energy Savings
Complete Threat Coverage

Every OWASP Top 10 AI Threat — Resolved

Unlike probabilistic guardrails that hope to catch threats, AEGIS deterministically intercepts every attack vector in the OWASP Top 10 for LLM Applications.

LLM01 — Prompt Injection
Direct & Indirect Injection
Kaiostic Entropy measurement + 7-layer cascade detects injections at the physics level, not regex.
L1-L7 CascadeICSSIREN
LLM02 — Insecure Output
Output Sanitization
POAW cryptographic receipts verify every output against dimensional alignment constraints.
POAWOutput Gate
LLM03 — Data Poisoning
Data Integrity Shield
Hash-chain verification and Merkle-tree validation detect poisoned training data at ingestion.
Hash ChainMerkle Gate
LLM04 — Model DoS
Resource Exhaustion Prevention
Thermoballing forces computational energy bounds. Requests cannot exceed allocated resource caps.
ThermoballingRate Guard
LLM05 — Supply Chain
Model-Agnostic Wrapping
NI-Stack wraps ANY model (OpenAI, Anthropic, Llama, Mistral) without touching weights.
Model ProxyTwain Shield
LLM06 — Info Disclosure
PII & Secret Detection
Multi-layer PII scanning with regex + semantic + dimensional checks before output release.
PII ScannerSecret Guard
LLM07 — Insecure Plugins
MCP Gateway Protection
Patented MCP gateway validates all tool calls before execution. Covers Anthropic's MCP spec.
MCP GateTool Validator
LLM08 — Excessive Agency
Monotonic Risk Ratchet (TLA)
TLA mathematically prevents agents from escalating permissions. Risk ratchets monotonically.
TLA RatchetSIREN
LLM09 — Overreliance
Confidence Calibration
IS-Score provides independently verifiable confidence metrics — no blind trust required.
IS-ScoreGTM
LLM10 — Model Theft
Anti-Extraction Shield
4-layer anti-extraction shielding prevents reverse-engineering safety thresholds via API probing.
Extraction ShieldEntropy Budget
Green AI Infrastructure

95% Less Energy Than Cloud Guardrails

Every AI safety API call to the cloud burns energy. AEGIS runs edge-native on your CPU/NPU — no datacenter required.

🌍

Planetary Impact

21.71 Gt

CO₂ emissions saved over 10 years if NI-Stack replaces cloud AI safety guardrails globally. Preserves Earth's 1.5°C carbon budget.

Per-Query Savings

95%+

Edge-native processing eliminates round-trip latency and datacenter overhead. Local CPU/NPU cycles instead of cloud GPUs.

💰

Carbon Credit Potential

At current EU ETS carbon prices, avoided emissions represent €4.3 trillion in lifetime carbon credit value — a new asset class for sovereign AI.

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NPU Hardware Acceleration

DirectML-powered Neural Processing Unit integration enables sub-5ms safety evaluation on consumer hardware. No GPU cluster required.

Security Standard

Beyond Six-Sigma: 12-Sigma AI Safety

Traditional software achieves 3-4 Sigma. Aviation achieves 6 Sigma. The NI-Stack targets 12-Sigma — the highest safety standard ever proposed for AI systems.

Safety Sigma Comparison

Defects per million opportunities (DPMO)
Software
Cloud AI
Aviation
12σNI-Stack
66,807 DPMO6,210 DPMO3.4 DPMO~0 DPMO
Regulatory Alignment

Built for EU AI Act & ISO 42001

The NI-Stack maps directly to the technical requirements of global AI governance frameworks.

🇪🇺
EU AI Act
Articles 15, 17, 55. Enforceable August 2026.
✓ Fully Aligned
📋
ISO 42001
AI Management Systems. POAW compliance evidence.
✓ Fully Aligned
🇺🇸
NIST AI RMF
All 4 pillars: Govern, Map, Measure, Manage.
✓ Fully Aligned
🛡️
OWASP Top 10
All 10 LLM threat categories covered.
✓ 10/10
🔐
Post-Quantum Crypto
ML-KEM + ML-DSA (NIST FIPS 204).
✓ Implemented
🏛️
EU AI Pact
Pillar II voluntary pre-compliance.
○ Applied

Ready for Compliance?

Enterprise, insurer, or IP buyer — the NI-Stack delivers provable AI safety compliance.