I-314 — AI Security, Red Team & Quantum-Safe

Flagship product

Ai-EGIS v3.0 — AI Exploitation &
Governance Intelligence Suite

The Burp Suite for AI — but fully autonomous. Ai-EGIS probes LLM applications, agentic systems, MCP servers and AI skills the way an adversary would, ships SARIF reports your SOC can ingest directly, and replays bit-for-bit on every run.

598

Security tests

Threat domains

Autonomous agents

100%

MITRE ATLAS

Autonomous red-team

9 specialized agents (Sentinel · Research · Codex · ATLAS · Craftsman · Recon · Adaptive · LLM Judge · Mutator) chained into a daily threat-intel pipeline + on-demand scan-time agents.

Frontier coverage

598 tests across 19 domains: prompt injection, agent overreach, MCP attacks, AI supply chain, multimodal injection, defender evasion, dual-use exploitation. OWASP LLM & Agentic Top 10 100%.

Reproducible audit

Determinism by construction — 63-bit seed, isolated RNG streams, tape recorder with sha256 fingerprint, SARIF 2.1.0 export with 484 rules across 4 taxonomies. Every scan replays.

Explore full platform → Schedule assessment Read FinBot CTF case study →

AI Governance · Audit · Compliance

The enterprise wrapper for Ai-EGIS

Ai-EGIS findings land inside a 7-layer governance framework with banking, government and military-grade controls — executive oversight, formal model lifecycle, classified data handling, API key vault, and continuous compliance against ISO 27001, NIST AI RMF, EU AI Act and SOC 2.

AI Governance Framework

7-layer architecture with executive governance committee (CGIA), regulatory mapping (ISO 27001, NIST AI RMF, EU AI Act, SOC 2), formal model lifecycle with approval gates, and continuous compliance monitoring.

AI Model Pentesting

Specialized offensive testing against LLM-specific threats: prompt injection (direct & indirect), data exfiltration, guardrail bypass, system prompt disclosure, token flooding, and OWASP LLM Top 10 assessment.

Data & API Key Governance

5-tier data classification (Public→Classified), multi-layer DLP with PII scanning, centralized secrets vault with HSM backing, automated key rotation, and Zero Trust credential management across all AI providers.

Explore full service → Request assessment

Quantum-safe foundations

Q‑CIPHER‑314 — Hybrid PQC encryption gateway

When AI security meets long-lived data confidentiality. Q‑CIPHER‑314 sits between your applications and the network, encrypting every payload with hybrid X25519 + ML-KEM-768 (Kyber) plus ML-DSA-65 (Dilithium) signatures — defending today and against future quantum adversaries.

Hybrid TLS 1.3

X25519 + ML-KEM-768 key exchange. Classical agility today, quantum-resistant tomorrow. Mitigates harvest-now-decrypt-later.

Quantum-safe messaging

End-to-end AES-GCM messages with ML-KEM key wrap and ML-DSA signatures. Integrity, non-repudiation and tamper detection.

Zero-Trust per request

PQC session tokens, short-lived credentials, per-endpoint identity verification — aligned with NIST SP 800-207.

Explore Q‑CIPHER → Request proposal

What we do

End-to-end AI Security solutions

Every offering is anchored in Ai-EGIS and built around Anthropic Claude as the LLM-judge and reasoning engine — Opus 4.7, Sonnet 4.6 and Haiku 4.5 across the agent stack.

Autonomous AI Red Teaming

Ai-EGIS engagements: 598 tests across 19 domains, 9 agents, MITRE ATLAS 100%. Prompt injection, agent overreach, MCP attacks, multimodal injection, defender evasion. Deterministic SARIF deliverable.

AI Governance & Compliance

7-layer governance framework, formal model lifecycle with approval gates, data classification, API key vault. Mapped to OWASP LLM/Agentic, NIST AI RMF, ISO 42001, EU AI Act, SOC 2.

Quantum-Safe Foundations

When AI security meets long-lived confidentiality: Q-CIPHER-314 hybrid TLS 1.3 with X25519 + ML-KEM-768, ML-DSA-65 signatures, crypto-agile migration. Defends against harvest-now-decrypt-later.

How we help

Professional AI Security services

Engagements designed around Anthropic Claude-powered tooling and adversarial methodology validated against the OWASP FinBot CTF (19/19 captures).

Autonomous AI Pentesting

Full Ai-EGIS engagements with target-type-aware scanning (LLM endpoints, agents, MCP servers, skills, offensive AI). Per-call cost watchdog, reproducible seed, signed SARIF report.

Trustworthy AI platforms

Guardrail design, privacy-by-design, observability, OWASP LLM/Agentic mitigations. Tool Output Mimicry hardening, authenticated task summaries, prompt-integrity benchmark (Mythos Ready).

AI Red / Blue / Purple Team

Continuous adversarial testing as a service. Sentinel pipeline reads 45 threat-intel sources daily and feeds new test definitions. Includes SOC integration via SDK / middleware / proxy.

Compliance & Audit

ISO 27001 / 42001 / 23894, NIST AI RMF, SOC 2 Type II, PCI-DSS, BCBS 239, DORA, EU AI Act, GDPR, ITAR. Gap analysis, remediation roadmap, board-level executive readout.

Under the hood

AI Security tech stack

Built on top of Anthropic Claude across every layer that requires reasoning — judge verdicts, threat intel, payload synthesis, agent orchestration.

Anthropic Claude

Reasoning & judge engine

Ai-EGIS uses Claude as its primary LLM-judge (precision 100% on held-out FP corpus) and as the reasoning core of its 9 specialized agents. Sentinel uses Claude Vision for screenshot-based jailbreaks; Codex auto-generates TestDef code; Craftsman synthesises payloads in bulk; the Adaptive agent reasons over real responses to mutate attacks.

claude-opus-4-7

Frontier reasoning · deep adversarial scans

claude-sonnet-4-6

Default judge · agent backbone

claude-haiku-4-5

Pre-screen · low-ambiguity verdicts

Claude Computer Use

Agent backend · tool-use loop

6 agent backends

Claude Computer Use · OpenAI Assistants · LangGraph · CrewAI · AutoGen · Gemini Agent Builder + static fallback. Cross-vendor benchmarking via shared seed.

12 surface adapters

infra_probe, file_upload, mcp_tool, mcp_fuzzer, mcp_composition, auth_flow, downstream, postgrest, skill_file, skill_runtime, agent_harness, code_security_agent.