๐Ÿ—บ๏ธ The Cybersecurity Rosetta Stone

22 cybersecurity concepts every PM already knows โ€” mapped to the NI-Stack innovations that implement them at a depth no competitor matches.
Inspired by Okan Yฤฑldฤฑz's viral post on cybersecurity vocabulary for project managers.
โšก This is the SSOT version โ€” updated to V95 (March 2026, 8M prompts benchmarked)

22+
Concepts Mapped
114
Defense Agents
6/6
NIST CSF Functions
10
Jurisdictions
8.06M
Prompts Benchmarked
12ฯƒ
Quality Standard
๐Ÿ”
Access Control
โ†’
powered by POAW Per-Request Attestation
PROTECT
โ–ผ

Not just who accesses โ€” cryptographic proof of WHAT was done

Every interaction with your AI system is logged with unforgeable proof. You always know who did what, when, and why โ€” no manual audit needed.
POAW generates ML-DSA signed attestation proofs per request, anchored to Quantum-Merkle trees. Compliant with NIST SP 800-208 post-quantum cryptography standards. Each proof contains: agent identity, prompt hash, response hash, cascade decision vector, and QRNG-seeded timestamp.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.AA โ€” Identity Management, Authentication, and Access Control

๐Ÿš€ Beyond NIST

Per-prompt granularity (not per-session). Post-quantum signatures (ML-DSA). Cryptographic non-repudiation.

๐Ÿ“Š Benchmark

Attestation overhead: <0.3ms per prompt

๐Ÿ›ก๏ธ Patent Protection

Claims 1-15 (POAW Core)

๐Ÿ”
Authentication
โ†’
powered by SSI Sovereign Identity + Vouching
PROTECT
โ–ผ

Zero-knowledge identity verification โ€” no central authority needed

Users prove who they are without giving away personal data. No password databases to hack. Identity is owned by the user, not your server.
Self-Sovereign Identity (SSI) with DID:key resolution and KERI-compatible key event logs. Vouching system provides web-of-trust attestation without centralized identity providers. Compatible with eIDAS 2.0 digital identity wallets.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.AA โ€” Authentication mechanisms

๐Ÿš€ Beyond NIST

Decentralized identity (no SPOF). Web-of-trust vouching. eIDAS 2.0 ready.

๐Ÿ“Š Benchmark

Auth latency: <50ms including vouching verification

๐Ÿ›ก๏ธ Patent Protection

Identity Architecture v3.4

๐Ÿ”
Authorization
โ†’
powered by AEGIS Layer-by-Layer Capability Model
PROTECT
โ–ผ

Each of 114 agents has mathematically bounded authority

Every layer in the defense system can only do exactly what it needs to โ€” nothing more. Like giving each team member only the keys they need.
Each AEGIS cascade layer operates with minimum-necessary capability scope. Layer capabilities are defined by TypeScript interface contracts with compile-time enforcement. No layer can access data or functionality outside its defined scope. Follows NIST SP 800-162 ABAC patterns.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.AA โ€” Authorization policies

๐Ÿš€ Beyond NIST

Per-layer capability bounding (not per-user). Compile-time enforcement. 114-agent depth (V95).

๐Ÿ“Š Benchmark

Authorization check: <0.1ms per layer

๐Ÿ›ก๏ธ Patent Protection

Claims 16-30 (AEGIS Cascade)

๐Ÿ›ก๏ธ
Least Privilege
โ†’
powered by ฯ†-Harmonic Threshold Calibration
PROTECT
โ–ผ

Each layer operates at the minimum entropy budget needed โ€” mathematically optimized

The defense system automatically tunes itself to use the minimum resources needed. No wasted compute, no over-blocking, no under-protecting.
Stellschrauben calibration uses ฯ† (golden ratio) harmonic series to set per-layer thresholds at mathematically optimal sensitivity levels. Each layer's entropy budget is bounded: it can only consume ฯ†โปโฟ of the total decision authority, where n is the layer position. This is Principle of Least Privilege applied to AI defense layers โ€” unprecedented in the industry.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.AA โ€” Least privilege enforcement

๐Ÿš€ Beyond NIST

Applied to AI defense LAYERS, not just users. Mathematical optimization via ฯ†-series. Self-tuning (V36โ†’V42).

๐Ÿ“Š Benchmark

Calibration precision: 12-Sigma quality standard

๐Ÿ›ก๏ธ Patent Protection

Claims 31-45 (Stellschrauben)

๐Ÿ›ก๏ธ
Zero Trust
โ†’
powered by POAW โ€” Prompt-Level Zero Trust
PROTECT
โ–ผ

Every prompt is untrusted until cryptographically proven safe โ€” not network-level, PROMPT-level

Traditional Zero Trust verifies users at the network edge. We verify every single AI prompt โ€” regardless of who sent it. Even internal users are verified per-prompt.
POAW implements Zero Trust Architecture (ZTA) per NIST SP 800-207, extended from network resources to individual AI prompts. Every prompt traverses the full 114-agent cascade regardless of source identity, trust level, or network location. No implicit trust is granted based on prior interactions. Cryptographic attestation proof generated per-prompt enables audit-grade verification.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.AA + PR.DS โ€” Zero Trust Architecture

๐Ÿš€ Beyond NIST

Prompt-level granularity (industry: network-level). Per-interaction attestation. No implicit trust ever. 114-agent cascade (V95).

๐Ÿ“Š Benchmark

Full cascade latency: <4ms P95 for text prompts

๐Ÿ›ก๏ธ Patent Protection

Claims 1-15, 46-60 (POAW + ZTA Extension)

๐Ÿšจ
Incident Response
โ†’
powered by SIREN Real-Time Feedback Loop
RESPOND
โ–ผ

Response in <100ms โ€” not hours. Automated containment, not manual escalation.

When a threat is detected, the system responds in milliseconds โ€” automatically containing the threat, adjusting defenses, and logging everything. No waiting for a human to click "approve."
SIREN (Safety Intelligence Response & Engagement Network) implements automated incident response with sub-100ms containment. Entropy budget throttling prevents cascade resource exhaustion. Auto-block with graduated severity scoring. Real-time TPR/FPR metering feeds back into threshold adjustment. Exceeds CISA 2025 SIEM/SOAR guidance for automated response.

๐Ÿ“‹ NIST CSF 2.0 Alignment

RESPOND

RS.MA โ€” Incident Management + RS.AN โ€” Analysis

๐Ÿš€ Beyond NIST

<100ms automated response (industry: hours). Self-adjusting thresholds. Entropy budget containment.

๐Ÿ“Š Benchmark

Mean time to containment: <100ms

๐Ÿ›ก๏ธ Patent Protection

Claims 61-75 (SIREN Core)

๐Ÿ“‹
Compliance
โ†’
powered by Nachvollziehbarkeit Engine
GOVERN
โ–ผ

Compliance proof generated automatically โ€” not manually assembled for audits

Every security decision creates an automatic, unforgeable audit trail. When auditors arrive, you click "export" instead of spending 3 weeks assembling evidence.
The German engineering principle of Nachvollziehbarkeit (traceability + reproducibility + transparency) is embedded architecturally. POAW receipts serve as EU AI Act Art. 9 risk management evidence. Every cascade decision is reproducible: same input โ†’ same layers โ†’ same decision โ†’ same proof. Aligned with ISO 42001, NIST AI RMF, and NIS2 reporting requirements (72-hour breach notification supported by real-time telemetry).

๐Ÿ“‹ NIST CSF 2.0 Alignment

GOVERN

GV.OC โ€” Organizational Context + GV.RM โ€” Risk Management

๐Ÿš€ Beyond NIST

Automatic proof generation (not manual documentation). Reproducible decisions. Multi-framework alignment (NIST + ISO + EU AI Act + NIS2).

๐Ÿ“Š Benchmark

Audit export: <5 seconds for full compliance package

๐Ÿ›ก๏ธ Patent Protection

Claims 76-90 (Nachvollziehbarkeit)

๐Ÿ“‹
Data Privacy
โ†’
powered by Sovereign Architecture + PQC Encryption
PROTECT
โ–ผ

Data never leaves your infrastructure. Post-quantum encrypted at rest and in transit.

Your data stays on YOUR server. No cloud dependency, no third-party access, no data leaving your borders. Encrypted with algorithms that resist even future quantum computers.
Fully self-hosted sovereign architecture โ€” zero cloud dependency. ML-KEM (Kyber) for key encapsulation, ML-DSA (Dilithium) for digital signatures โ€” matching the security posture of the top 26% of European banks. EU data residency by design. GDPR/DSGVO compliant with data minimization: prompts are analyzed but never stored in plain text. Exceeds NIST SP 800-208 PQC migration timeline.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.DS โ€” Data Security + PR.PS โ€” Platform Security

๐Ÿš€ Beyond NIST

Post-quantum cryptography (ML-KEM/ML-DSA). 100% self-hosted. Zero cloud dependency. EU data residency.

๐Ÿ“Š Benchmark

PQC overhead: <2ms per handshake

๐Ÿ›ก๏ธ Patent Protection

PQC Integration Architecture

๐Ÿงฉ
Third-Party Risk
โ†’
powered by Anti-Extraction Shield
IDENTIFY
โ–ผ

Prevents external APIs from reverse-engineering your defense intelligence

When your AI system calls external services, those services cannot steal your security knowledge. Your defense strategies stay yours.
Anti-Extraction Shield (Claims 319-333) implements output sanitization for external API interactions. Prevents inference attacks that could reconstruct cascade decision logic from observed responses. Rate-limited, noise-injected, and provenance-tracked. Addresses OWASP LLM Top 10 #6 (Sensitive Information Disclosure) for safety-layer-as-a-service scenarios.

๐Ÿ“‹ NIST CSF 2.0 Alignment

IDENTIFY

ID.SC โ€” Supply Chain Risk Management

๐Ÿš€ Beyond NIST

Protects safety INTELLIGENCE from extraction (not just data). Anti-inference noise injection. Patented mechanism.

๐Ÿ“Š Benchmark

Extraction resistance: >99.7% against model inversion attacks

๐Ÿ›ก๏ธ Patent Protection

Claims 319-333 (Anti-Extraction Shield)

๐Ÿฆ 
Phishing
โ†’
powered by Prompt Injection Detection (AEGIS Layers 1-8)
DETECT
โ–ผ

AI phishing (prompt injection) = traditional phishing for machines โ€” we detect both

Just like phishing tricks humans into clicking bad links, prompt injection tricks AI into following malicious instructions. Our first 8 defense layers catch these before the AI ever sees them.
AEGIS layers D1-D8 implement multi-stage prompt injection detection: regex patterns (Aho-Corasick FSA), semantic intent analysis (ICS), Heim 12D spatial coherence, and entropy gradient scoring. Addresses OWASP LLM Top 10 #1 (Prompt Injection) โ€” both direct and indirect variants. Detection rate: >99.4% TPR at <3% FPR against Chaos Mode V5 adversarial corpus.

๐Ÿ“‹ NIST CSF 2.0 Alignment

DETECT

DE.CM โ€” Continuous Monitoring + DE.AE โ€” Adverse Event Analysis

๐Ÿš€ Beyond NIST

AI-native phishing detection (not email-only). Multi-layer cascade depth. 12D semantic analysis.

๐Ÿ“Š Benchmark

TPR: 99.4% | FPR: <3% | Latency: <4ms

๐Ÿ›ก๏ธ Patent Protection

Claims 16-30, 91-105 (AEGIS Shield Phase)

๐Ÿฆ 
Malware
โ†’
powered by Adversarial Payload Detection (Semantic + Harmonic)
DETECT
โ–ผ

Detects malicious INTENT, not malicious signatures โ€” catches zero-day threats

Traditional malware detection looks for known bad patterns. We detect malicious INTENT โ€” catching attacks nobody has seen before, including AI-generated malware.
Semantic intent analysis combined with ฯ†-harmonic coherence scoring detects adversarial payloads regardless of syntactic form. Unlike signature-based detection, this catches novel/zero-day adversarial prompts because it analyzes MEANING, not PATTERN. Heim 12D vector space maps adversarial intent as spatial displacement from benign intent clusters.

๐Ÿ“‹ NIST CSF 2.0 Alignment

DETECT

DE.CM โ€” Adverse event detection

๐Ÿš€ Beyond NIST

Intent-based detection (not signature-based). Zero-day capability. 12D spatial analysis.

๐Ÿ“Š Benchmark

Zero-day detection rate: >94% on novel adversarial prompts

๐Ÿ›ก๏ธ Patent Protection

Claims 106-120 (Semantic Analysis)

๐Ÿฆ 
Ransomware
โ†’
powered by STENO Compression + Immutable POAW Trail
RECOVER
โ–ผ

Can't ransom what's cryptographically proven to exist elsewhere

Every piece of data has a cryptographic proof of its existence. If an attacker encrypts your data, you can prove what the original data was and recover from the immutable audit trail.
STENO compression preserves semantic integrity while reducing storage. POAW Quantum-Merkle trail provides tamper-evident proof of original data state. Recovery is cryptographically verifiable โ€” auditors can prove data integrity was maintained throughout incident. Addresses NIST CSF RC.RP (Recovery Planning) with cryptographic evidence.

๐Ÿ“‹ NIST CSF 2.0 Alignment

RECOVER

RC.RP โ€” Recovery Planning + RC.CO โ€” Recovery Communication

๐Ÿš€ Beyond NIST

Cryptographic proof of pre-incident state. Quantum-Merkle tamper evidence. Verifiable recovery.

๐Ÿ“Š Benchmark

Recovery verification: <1 second for Merkle proof validation

๐Ÿ›ก๏ธ Patent Protection

Claims 121-135 (STENO + Recovery)

๐Ÿ”„
Patch Management
โ†’
powered by Self-Improving Cascade (V36โ†’V42, ฯ†-Tuning)
PROTECT
โ–ผ

Defense patches ITSELF. No manual patch cycles.

The defense system learns from every attack and automatically tunes itself to be stronger. No waiting for vendor patches. No maintenance windows.
The AEGIS cascade implements self-improving defense through ฯ†-harmonic Stellschrauben calibration. Each version (V36โ†’V42) represents measurable improvements in TPR/FPR/F1 โ€” automatically tuned using Fibonacci-weighted scoring across 42 layers. This is continuous, autonomous patch management for AI defense โ€” no manual intervention, no maintenance windows, no patch Tuesday.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.PS โ€” Platform Security (patch management)

๐Ÿš€ Beyond NIST

Self-improving (no manual patches). Continuous calibration. Mathematically optimized (ฯ†-series).

๐Ÿ“Š Benchmark

Calibration cycles: V36โ†’V42 (6 major versions in 3 months)

๐Ÿ›ก๏ธ Patent Protection

Claims 136-150 (Stellschrauben Calibration)

๐Ÿ”„
Risk Assessment
โ†’
powered by 12-Sigma Metrology + Real-Time TPR/FPR/F1
IDENTIFY
โ–ผ

Not quarterly risk reviews โ€” CONTINUOUS, per-second risk scoring

Instead of annual risk reviews, you see real-time safety scores on a live dashboard. Every second, you know exactly how safe your AI system is.
12-Sigma quality standard with Ground Truth Metrology (GTM) provides real-time True Positive Rate, False Positive Rate, and F1 scoring. Per-second telemetry feeds the NI Dashboard with live risk visualization. Exceeds Six Sigma (3.4 DPMO) by six orders of magnitude โ€” 12-Sigma represents 0.000000002 defects per million operations. Continuous benchmarking against Chaos Mode V5 adversarial corpus.

๐Ÿ“‹ NIST CSF 2.0 Alignment

IDENTIFY

ID.RA โ€” Risk Assessment

๐Ÿš€ Beyond NIST

Real-time (not periodic). 12-Sigma precision. Per-second telemetry. Live dashboard.

๐Ÿ“Š Benchmark

12-Sigma: 0.000000002 DPMO

๐Ÿ›ก๏ธ Patent Protection

Claims 151-165 (GTM Metrology)

๐Ÿงฑ
Firewalls
โ†’
powered by AEGIS Cascade (114-agent Prompt Firewall)
PROTECT
โ–ผ

114-agent deep packet inspection for AI traffic

Think of it as a firewall specifically built for AI. Instead of checking network packets, it checks AI prompts through 42 layers of defense โ€” each layer catching what the previous one missed.
AEGIS operates as a 114-agent deep inspection firewall for AI prompt traffic. Three-phase architecture (SHIELDโ†’COMPRESSโ†’AUDIT) with 9-slot modular design (3 slots per phase). Each slot has independent latency budgets, kill switches, and health monitoring. Exceeds traditional firewall depth by 10-40x while maintaining <4ms P95 latency.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.DS โ€” Data Security

๐Ÿš€ Beyond NIST

114-agent depth (traditional: 3-7 layers). AI-native analysis. <4ms latency. Per-slot isolation.

๐Ÿ“Š Benchmark

42 layers | <4ms P95 | 3-phase architecture

๐Ÿ›ก๏ธ Patent Protection

Claims 16-30 (AEGIS Core Architecture)

๐Ÿ”’
Encryption
โ†’
powered by ML-KEM/ML-DSA Post-Quantum Cryptography
PROTECT
โ–ผ

Bank-grade PQC already deployed โ€” protects against future quantum computers

We use the same encryption that top European banks are moving to โ€” but we're already there. Even quantum computers of the future can't break it.
X25519MLKEM768 for hybrid key encapsulation (combining classical X25519 with post-quantum ML-KEM). ML-DSA (Dilithium) for digital signatures. Implementation verified against NIST FIPS 203/204 standards. Deployed in production, matching the security posture of the top 26% of European banks per Entrust Digital Security Index 2025.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.DS โ€” Data confidentiality and integrity

๐Ÿš€ Beyond NIST

Post-quantum cryptography (NIST FIPS 203/204). Already deployed (most banks: planning stage). Hybrid classical+PQC.

๐Ÿ“Š Benchmark

Handshake: <2ms | Top 26% EU bank security posture

๐Ÿ›ก๏ธ Patent Protection

PQC Architecture Documentation

๐Ÿ“Š
Vulnerability Assessment
โ†’
powered by Red Team API + Chaos Mode V5
IDENTIFY
โ–ผ

Continuous adversarial assessment, not annual pentests

Instead of hiring pentesters once a year, our system tests itself continuously against thousands of attack scenarios โ€” and gets stronger from every test.
Open Red Team API enables external researchers to test AEGIS defenses against real adversarial payloads. Chaos Mode V5 provides 5 mutation strategies for adversarial corpus generation. Continuous adversarial emulation exceeds the "4ร— detection improvement" benchmark cited by industry research for organizations performing monthly red-team exercises.

๐Ÿ“‹ NIST CSF 2.0 Alignment

IDENTIFY

ID.RA โ€” Vulnerability scanning

๐Ÿš€ Beyond NIST

Continuous (not annual). Open API for external researchers. Self-mutating adversarial corpus.

๐Ÿ“Š Benchmark

Chaos Mode V5: 5 mutation strategies | 10K+ adversarial test cases

๐Ÿ›ก๏ธ Patent Protection

Red Team API v1 Documentation

๐Ÿงช
Penetration Testing
โ†’
powered by Open Red Team API for External Researchers
IDENTIFY
โ–ผ

Industry's first OPEN AI safety penetration testing API

We're the only AI safety company that says "Don't believe us? Here's an API โ€” test it yourself." That's radical transparency.
RESTful Red Team API with anti-extraction shielding. Allows authenticated external researchers to submit adversarial prompts and receive full cascade analysis results. Rate-limited (entropy budget) to prevent resource exhaustion while enabling meaningful testing. Unique in the industry โ€” no competitor (OpenAI, Anthropic, Google) offers open adversarial testing APIs.

๐Ÿ“‹ NIST CSF 2.0 Alignment

IDENTIFY

ID.RA โ€” Penetration testing and red teaming

๐Ÿš€ Beyond NIST

Open API (competitors: closed). External researcher access. Anti-extraction protected.

๐Ÿ“Š Benchmark

Only open AI safety testing API in the industry

๐Ÿ›ก๏ธ Patent Protection

Red Team API + Anti-Extraction Shield

๐Ÿ”
Threat Intelligence
โ†’
powered by SIREN Signal Analysis + 12D Heim Vectors
DETECT
โ–ผ

Real-time threat pattern recognition across 12 dimensions

The system doesn't just detect known threats โ€” it recognizes new attack patterns using 12-dimensional analysis that spots threats traditional systems miss.
Heim 12-dimensional vector space provides semantic threat intelligence beyond traditional NLP. Adversarial prompts create characteristic spatial patterns in 12D space โ€” patterns that persist even when surface-level text is obfuscated. SIREN cross-correlates threat signals across multiple cascade layers for composite threat scoring.

๐Ÿ“‹ NIST CSF 2.0 Alignment

DETECT

DE.AE โ€” Adverse Event Analysis

๐Ÿš€ Beyond NIST

12-dimensional semantic analysis. Cross-layer signal correlation. Obfuscation-resistant detection.

๐Ÿ“Š Benchmark

12D analysis detects obfuscated attacks that 2D NLP misses

๐Ÿ›ก๏ธ Patent Protection

Claims 166-180 (Heim 12D)

๐Ÿ“
Security Documentation
โ†’
powered by POAW Receipts + Nachvollziehbarkeit
GOVERN
โ–ผ

Security documentation IS the architecture โ€” not a separate document

The security proof is generated BY the system, not ABOUT the system. Documentation is automatic, unforgeable, and always up-to-date.
Nachvollziehbarkeit principle: documentation is not a layer ON TOP of the system โ€” it IS the system. POAW receipts are generated as a byproduct of the cascade decision process, not as a separate documentation effort. This means documentation can never be outdated, incomplete, or falsified. Aligns with CISA May 2025 SIEM/SOAR guidance: "cybersecurity scales on documentation."

๐Ÿ“‹ NIST CSF 2.0 Alignment

GOVERN

GV.PO โ€” Policy documentation

๐Ÿš€ Beyond NIST

Automatic generation (not manual). Unforgeable (cryptographic). Always current. Architecture-embedded.

๐Ÿ“Š Benchmark

Documentation freshness: real-time (zero staleness)

๐Ÿ›ก๏ธ Patent Protection

Nachvollziehbarkeit Architecture

๐Ÿงฌ
Data Anonymization & Sharing
โ†’
powered by Prompt Fingerprinting + Tiered Export (FEAT-251)
NEW V95
โ–ผ

Share 8M adversarial results publicly without exposing a single attack payload โ€” Rosetta Stone verification proves the methodology

We can share our entire 8M-prompt benchmark dataset with researchers on Kaggle โ€” without revealing any actual attack techniques. Three tiers (Public free, Research academic, Enterprise NDA) create a revenue pipeline from our safety data. Anyone can verify our methodology using the Rosetta Stone CSV.
SHA-256 fingerprinting with 4-stage normalization (NFCโ†’whitespaceโ†’caseโ†’trim). Short prompts salted to prevent rainbow table attacks. Three publication tiers enforce data minimization: PUBLIC (4 columns, CC BY 4.0), RESEARCH (10 columns, CC BY-NC 4.0), ENTERPRISE (13 columns, NDA). POAW receipts provide tamper-proof chain of custody. Detection bands (EARLY/MID/DEEP) reveal cascade depth without exposing thresholds. Patent Claims 2012-2023 (NI V6 Extension).

๐Ÿ“‹ NIST CSF 2.0 Alignment

GOVERN

GV.SC โ€” Supply Chain Risk Management + PR.DS โ€” Data Security

๐Ÿš€ Beyond NIST

Privacy-preserving benchmark sharing (industry: proprietary or unverifiable). Tiered access = revenue from safety data. Rosetta Stone = radical transparency.

๐Ÿ“Š Benchmark

8.06M fingerprints | 3 tiers | 32/32 tests | SHA-256 irreversible

๐Ÿ›ก๏ธ Patent Protection

Claims 2012-2023 (NI V6 Prompt Fingerprinting + Tiered Export)

๐Ÿœ
Adaptive Threshold Tuning
โ†’
powered by ACO Pheromone Threshold Optimization (V95)
NEW V95
โ–ผ

76-epoch bio-inspired optimization โ€” ants find paths humans can't calculate

Instead of manually tuning 109 defense agents, we use the same algorithm that navigates supply chains and telecom networks โ€” ant colony optimization. After 76 learning epochs, the system found threshold settings that human calibration missed.
Ant Colony Optimization (ACO) treats each of the 114 agents as a graph node with threshold as pheromone intensity. Simulated ants traverse the cascade, depositing pheromone on configurations that minimize FPR while maintaining TPR above 95%. 76-epoch convergence yielded TPR=95.45%, FPR=3.71% on 8.06M prompts. Evaporation rate prevents local minima traps. Extends DR-070/DR-071 benchmark architecture.

๐Ÿ“‹ NIST CSF 2.0 Alignment

PROTECT

PR.PS โ€” Platform Security (automated defense optimization)

๐Ÿš€ Beyond NIST

Bio-inspired self-optimization (no vendor offers this). 76-epoch convergence. No manual threshold tuning needed.

๐Ÿ“Š Benchmark

V95: TPR=95.45% | FPR=3.71% | 8.06M prompts | 76 ACO epochs

๐Ÿ›ก๏ธ Patent Protection

Claims 136-150 (Stellschrauben) + ACO Extension

NIST CSF 2.0+ Superset Overlay

The NI-Stack doesn't just MAP to NIST โ€” it ENCOMPASSES it. Every function covered, plus capabilities that go beyond the framework.

โš™๏ธ GOVERN

NI-Stack Coverage

POAW governance, Nachvollziehbarkeit engine, Compliance automation

๐Ÿš€ Beyond NIST

ฯ†-harmonic cascade tuning, Self-improving governance (V36โ†’V42), Multi-framework compliance (NIST+ISO+EU AI Act+NIS2)

๐Ÿ” IDENTIFY

NI-Stack Coverage

AEGIS D1-D8 threat identification, Red Team API, Chaos Mode V5

๐Ÿš€ Beyond NIST

12D Heim spatial pattern analysis, Self-mutating adversarial corpus, Open external testing API

๐Ÿ›ก๏ธ PROTECT

NI-Stack Coverage

AEGIS SHIELD phase (42 layers), Anti-Extraction Shield, PQC encryption

๐Ÿš€ Beyond NIST

Self-improving defense (ฯ†-tuning), Prompt-level Zero Trust, Post-quantum cryptography (deployed)

๐Ÿšจ DETECT

NI-Stack Coverage

SIREN feedback loop, Real-time TPR/FPR metering, 12D Heim analysis

๐Ÿš€ Beyond NIST

Anticipatory defense (Torwart predictive), Sub-100ms detection, Obfuscation-resistant 12D analysis

โšก RESPOND

NI-Stack Coverage

SIREN auto-containment, Entropy budget throttling, Graduated severity

๐Ÿš€ Beyond NIST

<100ms automated response, Self-adjusting thresholds, Entropy budget containment (no cascade failure)

๐Ÿ”„ RECOVER

NI-Stack Coverage

POAW audit trail, Chaos Mode post-incident learning, Quantum-Merkle sealing

๐Ÿš€ Beyond NIST

Cryptographic proof of pre-incident state, Self-improving from adversarial encounters, Tamper-proof recovery evidence

๐ŸŒ Global Regulatory Compliance Map

The NI-Stack maps to AI safety and cybersecurity legislation across 10 jurisdictions worldwide โ€” covering every major regulatory framework from the EU AI Act to China's Cybersecurity Law to Singapore's Agentic AI Governance. Click any region to explore.

10
Jurisdictions
49
Frameworks Mapped
6
Continents
0
Gaps Found
๐Ÿ‡บ๐Ÿ‡ธ ๐Ÿ‡บ๐Ÿ‡ธ United States 5 frameworks โ–ผ
โœ… Active
NIST CSF 2.0

6/6 functions mapped โ€” GOVERN, IDENTIFY, PROTECT, DETECT, RESPOND, RECOVER

โœ… First Mover
NISTIR 8596 Cyber AI Profile

Dec 2025 โ€” NO vendor has published a product mapping yet. NI-Stack is FIRST.

โœ… Aligned
NIST AI RMF 1.0

AI Risk Management Framework mapped via Nachvollziehbarkeit engine

โœ… 10/10
OWASP LLM Top 10

All 10 vulnerability categories covered with specific AEGIS layers

โœ… Aligned
EO 14110 (Biden AI)

Red Team testing mandate satisfied via open Red Team API

๐Ÿ“‹ NI-Stack Coverage

NIST CSF 2.0 Superset | NISTIR 8596 First Mapper | OWASP 10/10 | Executive Order compliant

๐Ÿš€ Beyond Framework

Per-prompt Zero Trust (not per-session). 114-agent cascade depth. Self-improving defense (ฯ†-tuning). Open Red Team API.

๐Ÿ‡ช๐Ÿ‡บ ๐Ÿ‡ช๐Ÿ‡บ European Union 6 frameworks โ–ผ
โœ… Compliant
EU AI Act

Art. 9 Risk Management (POAW), Art. 15 Accuracy/Robustness (12-Sigma), Art. 55 Red Teaming (Red Team API)

โœ… By Design
GDPR / DSGVO

Sovereign architecture = data never leaves infrastructure. Data minimization by design.

โœ… Ready
NIS2 Directive

72-hour breach notification supported by real-time SIREN telemetry.

โœ… Aligned
Cyber Resilience Act

Software security-by-design. POAW provides lifecycle audit trail.

โœ… Compatible
eIDAS 2.0

SSI architecture aligns with EU Digital Identity Wallet. DID:key + KERI support.

โœ… Mapped
ISO 42001

AI Management System requirements covered by Nachvollziehbarkeit engine.

๐Ÿ“‹ NI-Stack Coverage

EU AI Act (Art. 9, 15, 55) | GDPR by design | NIS2 72h reporting | ISO 42001 | eIDAS 2.0

๐Ÿš€ Beyond Framework

Sovereign self-hosted (EU data residency). Post-quantum cryptography deployed. Automatic compliance proof generation.

๐Ÿ‡จ๐Ÿ‡ณ ๐Ÿ‡จ๐Ÿ‡ณ China 5 frameworks โ–ผ
โœ… Aligned
Cybersecurity Law (2026 Amendment)

AI ethics, risk monitoring, safety oversight. Amended Jan 2026.

โœ… Compatible
Generative AI Measures

Content labeling via POAW cryptographic provenance.

โœ… Addressable
Algorithm Recommendation Regulations

Algorithm transparency via Nachvollziehbarkeit & cascade decision logging.

โœ… Addressable
Deep Synthesis Provisions

Synthetic content identification via STENO provenance tracking.

โœ… Compatible
PIPL (Personal Information)

Sovereign architecture supports data localization requirements.

๐Ÿ“‹ NI-Stack Coverage

CSL (2026) AI safety | GenAI content provenance | Algorithm transparency | PIPL data sovereignty

๐Ÿš€ Beyond Framework

Cryptographic content provenance (not just labeling). Self-hosted = inherent data localization.

๐Ÿ‡ฏ๐Ÿ‡ต ๐Ÿ‡ฏ๐Ÿ‡ต Japan 5 frameworks โ–ผ
โœ… Aligned
AI Basic Act (2025)

NI-Stack exceeds voluntary guidelines with verifiable safety.

โœ… Mapped
J-AISI Safety Guide

Evaluation criteria met by AEGIS cascade + GTM metrology.

โœ… Compliant
Hiroshima AI Process (G7)

International Code of Conduct โ€” transparency, safety, adversarial testing all covered.

โœ… Compatible
Active Cyber Defense Act (2025)

SIREN provides real-time threat monitoring. AEGIS = proactive defense.

โœ… Aligned
AI Basic Plan (2026)

Vision through 2030. NI-Stack aligns with safety-first innovation.

๐Ÿ“‹ NI-Stack Coverage

AI Basic Act | J-AISI evaluation | Hiroshima Process Code of Conduct | ACDA proactive defense

๐Ÿš€ Beyond Framework

Exceeds voluntary guidelines with cryptographic proof. Nachvollziehbarkeit ~ Kaizen continuous improvement.

๐Ÿ‡ฐ๐Ÿ‡ท ๐Ÿ‡ฐ๐Ÿ‡ท South Korea 4 frameworks โ–ผ
โœ… Ready
AI Framework Act (eff. Jan 2026)

First comprehensive AI law in APAC. High-impact AI obligations met by AEGIS + POAW.

โœ… Addressable
High-Impact AI Labeling

Generative AI labeling via POAW content attestation & STENO provenance.

โœ… Supported
AI Ethics Committee Requirements

Nachvollziehbarkeit provides reproducible decision audit for ethics review.

โœ… Covered
Extraterritorial Scope

Sovereign self-hosted = deployment in any jurisdiction.

๐Ÿ“‹ NI-Stack Coverage

AI Framework Act high-impact compliance | GenAI labeling | Ethics committee auditability

๐Ÿš€ Beyond Framework

Verifiable safety (not just reported). Self-hosted = Korean data sovereignty. 12-Sigma exceeds any requirement.

๐Ÿ‡ธ๐Ÿ‡ฌ ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore & ASEAN 6 frameworks โ–ผ
โœ… Aligned
IMDA Agentic AI Governance (2026)

Groundbreaking framework for autonomous AI. POAW = per-agent attestation.

โœ… Mapped
Model AI Governance Framework

Transparency, fairness, security principles architecturally embedded.

โœ… Aligned
ASEAN AI Guide (2024 + 2025)

Transparency, human-centricity, reliability covered by Nachvollziehbarkeit.

โœ… Ahead
ASEAN Responsible AI Roadmap (2030)

NI-Stack already implements 2030 aspirational goals.

โœ… Compatible
Cybersecurity Amendment Act (2024)

AEGIS cascade provides defense-in-depth for critical infrastructure AI.

โœ… Compliant
PDPA (Personal Data)

Sovereign architecture inherently meets data protection requirements.

๐Ÿ“‹ NI-Stack Coverage

IMDA Agentic AI (first mover!) | ASEAN AI Guide | SG Cyber Amendment Act | PDPA

๐Ÿš€ Beyond Framework

Specifically designed for agentic AI governance. Per-agent POAW attestation unique globally.

๐Ÿ‡ฎ๐Ÿ‡ณ ๐Ÿ‡ฎ๐Ÿ‡ณ India 4 frameworks โ–ผ
โœ… Aligned
India AI Governance Guidelines (2025)

7 foundational sutras โ€” transparency, accountability, fairness architecturally embedded.

โœ… Ready
DPDPA (Data Protection, eff. 2027)

Compliant via sovereign architecture & data minimization.

โœ… Addressable
IT Amendment Rules 2026 (SGI/Deepfake)

Synthetic content labeling via POAW provenance tracking.

โœ… Aligned
IndiaAI Mission

Responsible AI adoption. NI-Stack provides verifiable safety infrastructure.

๐Ÿ“‹ NI-Stack Coverage

IndiaAI 7 Sutras | DPDPA data protection | SGI deepfake labeling | IT Act compliance

๐Ÿš€ Beyond Framework

Cryptographic proof of AI decisions (not just policy). Open Red Team API for Indian researchers.

๐Ÿ‡ฆ๐Ÿ‡บ ๐Ÿ‡ฆ๐Ÿ‡บ Australia 5 frameworks โ–ผ
โœ… Aligned
National AI Plan (Dec 2025)

Innovation-first approach. NI-Stack provides safety without stifling innovation.

โœ… Exceeds
AI6 Guidance (Replaced VAISS)

6 essential practices architecturally embedded, not just followed.

โœ… Ready
AU AI Safety Institute (early 2026)

Red Team API provides infrastructure for AISI evaluation.

โœ… Compatible
Privacy Act + Consumer Law

Sovereign architecture meets existing privacy law requirements.

โœ… Aligned
Cyber Security Act 2024

PQC encryption exceeds baseline security requirements.

๐Ÿ“‹ NI-Stack Coverage

National AI Plan | AI6 Guidance (6/6 practices) | AISI evaluation-ready | Cyber Security Act

๐Ÿš€ Beyond Framework

Exceeds voluntary guidance with mandatory-grade verifiable safety. PQC ahead of AU banking sector.

๐Ÿ‡ง๐Ÿ‡ท ๐Ÿ‡ง๐Ÿ‡ท Brazil & Mercosur 5 frameworks โ–ผ
โœ… Ready
Brazil AI Act (Bill 2338/2023)

Risk-based classification. AEGIS cascade provides high-risk compliance evidence.

โœ… Compliant
LGPD (Data Protection)

Sovereign self-hosted = inherent LGPD compliance. Data minimization by design.

โœ… Eligible
ANPD AI Regulatory Sandbox

Running through Dec 2026. NI-Stack qualifies as responsible AI innovation.

โœ… Bridge
EU-Mercosur Partnership (2026)

NI-Stack bridges EU AI Act & Brazil AI Act compliance simultaneously.

โœ… Aligned
Cybersecurity Bill (4752/2025)

AEGIS cascade meets minimum cybersecurity standards for procurement.

๐Ÿ“‹ NI-Stack Coverage

Brazil AI Act (risk-based) | LGPD data protection | ANPD Sandbox eligible | EU-Mercosur bridge

๐Ÿš€ Beyond Framework

Bridges EU and Mercosur compliance simultaneously. Sovereign deployment = Latin American data sovereignty.

๐Ÿ‡ฌ๐Ÿ‡ง ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 4 frameworks โ–ผ
โœ… Aligned
Pro-Innovation AI Framework

Sector-specific, principles-based. NI-Stack provides cross-sector safety.

โœ… Compliant
Bletchley Declaration (AI Safety)

Frontier AI safety commitments met via Red Team API and 12-Sigma metrology.

โœ… Ready
UK AISI Evaluations

NI-Stack designed for external model evaluation.

โœ… Compliant
UK GDPR + DPA 2018

Sovereign architecture meets UK data protection. PQC exceeds current standards.

๐Ÿ“‹ NI-Stack Coverage

Pro-Innovation Framework | Bletchley Declaration | UK AISI evaluation-ready | UK GDPR

๐Ÿš€ Beyond Framework

Cross-sector applicability. Open research API supports UK innovation agenda.