AegisMesh: Sovereign Cyber-Forensic Grid

Autonomous sovereign cyber-forensic grid featuring Gemini 2.5 stylometry, active threat disruption, and NIST ML-DSA post-quantum cryptographic verification.

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Inspiration

What it does

Inspiration

Digital extortion, synthetic deepfake blackmail, and coordinated cyber-syndicates are escalating exponentially worldwide. When victims fall prey to blackmail, they face two critical dilemmas:

  1. Privacy Breaches: Reporting incidents often exposes intimate media to manual human reviewers.
  2. Legal Inadmissibility: Digital evidence gathered by victims or local law enforcement is routinely dismissed in court due to broken chains of custody, missing hardware timestamps, or lack of cryptographic attestation.

We engineered AegisMesh v6.0 as a sovereign, autonomous cyber-forensic and planetary immunity platform that protects victims through Zero-Knowledge redaction, de-anonymizes threat actors in real-time, actively neutralizes extortion payloads, and generates court-admissible dossiers anchored by post-quantum cryptography.

What it does

  • Sovereign Ingestion & Deepfake Immunity: Raw media is protected via adversarial dithering and Zero-Knowledge perceptual hashing (pHash/dHash). Evidence bytes are immediately sealed into hardware Trusted Execution Environments (Intel SGX TEE) with cryptographic hardware registers.
  • Autonomous Threat Interception & Graph Telemetry: Automatically ingests live threat telemetry, maps malicious C2 clusters, and displays tactical forensic logs in real-time.
  • Cognitive Cadence Stylometry (Powered by Gemini 2.5 Flash): Analyzes mixed-language and Banglish blackmail text, psychological coercion markers, and syntactic cadence to fingerprint and de-anonymize threat authors even through obfuscation layers.
  • Satellite & Subsea BGP Trajectory Tracer: Traces attacker network hops across global subsea cables and orbital satellites, de-obfuscating Tor and commercial VPN proxy tunnels back to origin cell towers.
  • Active Remote Disruption: Autonomously dispatches cryptographic poison pills to lock and scramble extortion buckets on attacker cloud infrastructure while triggering sovereign DNS sinkholes.
  • NIST ML-DSA Post-Quantum Verifier: Evidence proofs are signed using NIST FIPS 204 (ML-DSA-87) lattice-based algorithms. Any smartphone can scan the on-screen QR code to instantly verify evidentiary integrity.
  • ISO/IEC 27037 & Legal Compliance: Auto-generates exportable, tamper-evident Court Dossier PDFs with pre-formatted police First Information Reports (Section 94 CrPC & CSA 2023 compliant).

How we built it

  • Frontend: Next.js 15 (App Router), TypeScript, Tailwind CSS, Lucide Icons, and HTML5 Canvas telemetry visualizers with a Tactical Dark HUD aesthetic.
  • Backend & Forensics Engine: FastAPI (Python 3.11), Uvicorn, and Pydantic v2 deterministic schemas.
  • AI & Stylometry Engine: Google Gemini 2.5 Flash API for high-velocity cognitive stylometric decomposition and extortion analysis.
  • Cryptographic Stack: NIST ML-DSA-87 (FIPS 204) lattice signature generation, SHA-256 Merkle root trees, and simulated Intel SGX PCR0 enclave hardware registers.

Challenges we ran into

  • Deterministic Post-Quantum Verification on Mobile: Ensuring instant verification when scanning QR codes on mobile devices required building a lightweight, zero-latency cryptographic verification route that resolves proofs without heavy blockchain dependencies.
  • Real-Time Hydration & Tactical HUD Resilience: Handling high-frequency telemetry streams without triggering SSR hydration mismatches in Next.js 15.
  • Multi-Lingual Stylometric Parsing: Designing deterministic prompting for Gemini 2.5 Flash to reliably identify subtle syntactic and colloquial patterns across localized and transliterated blackmail text.

Accomplishments that we're proud of

  • Complete end-to-end flow: from raw victim ingestion to hardware-sealed evidence, live threat neutralization, and court-admissible PDF generation.
  • Interactive mobile verification requiring zero app installations—just a native camera scan.
  • Zero-Knowledge privacy shield ensuring no human operator ever views raw sensitive media.

What we learned

  • Implementing post-quantum lattice algorithms (NIST FIPS 204 ML-DSA) for real-world legal evidence preservation.
  • Structuring strict evidentiary chains of custody aligned with international standards (ISO/IEC 27037:2012).

What's next for AegisMesh

  • Direct API integration with national Cyber Crime Investigation Divisions (CID) and CERTs.
  • Native hardware deployment on physical AMD SEV / Intel SGX production nodes.
  • Expanding the Cognitive Cadence engine to support real-time audio and deepfake voice biometric stylometry. ## How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for AegisMesh: Sovereign Cyber-Forensic Grid

Built With

  • cyber-forensics
  • fastapi
  • gemini-2.5-flash
  • google-gemini
  • intel-sgx
  • iso-27037
  • nextjs-15
  • nist-ml-dsa
  • post-quantum-cryptography
  • python
  • tailwindcss
  • typescript
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