AI Security

FFAI LLM Firewall

Federated Shield for Enterprise AI Adoption.

FFAI (Federated AI Firewall) V.4 is an enterprise security layer that sits between users and LLM providers — five proprietary pillars (semantic shield, dual-direction enforcement, federated policy learning, cross-model sandbox, cryptographic audit), plus MV3 browser companion and Windows risk-exposure agent. In-scope product layers are 100%. Mapped controls are not ISO or SOC certificates (certificates are under process). CDN, network IDS, and federated model-weight learning remain out of scope.

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FFAI LLM Firewall

Federated Shield for Enterprise AI Adoption.

Prompt firewallWORM auditReal-time scoring
STEP 1 OF 5Processing…

Ingress

All LLM prompts and responses intercepted at the gateway

Click any step to explore the workflow · Auto-advances every 3.5s

Platform Overview

FFAI (Federated AI Firewall) V.4 is an enterprise security layer that sits between users and LLM providers — five proprietary pillars (semantic shield, dual-direction enforcement, federated policy learning, cross-model sandbox, cryptographic audit), plus MV3 browser companion and Windows risk-exposure agent. In-scope product layers are 100%. Mapped controls are not ISO or SOC certificates (certificates are under process). CDN, network IDS, and federated model-weight learning remain out of scope.

Platform analytics

Engineering catalog scores for this product. ISO 27001, ISO 42001, and SOC 2 certificates are under process. Control mapping on this site is engineering evidence, not an issued certificate.

5
Core pillars
100%
In-scope product
13
Console modules
100%
AI firewall in-scope
Interaction security100%
Data integrity / contextual DLP100%
Operational agent control100%
Sovereignty / audit / frameworks100%
Browser companion (in-repo)100%
Endpoint agent resilience100%

CDN, network IDS, and federated model-weight learning remain out of scope by design. Mapped controls are not ISO or SOC certificates.

Why FFAI LLM Firewall

  • Real-time session intent risk scoring before prompts reach any LLM
  • Dual-direction enforcement — block harmful prompts AND filter sensitive responses
  • WORM audit trail with HMAC/KMS-signed evidence for regulators
  • Federated policy learning across departments without sharing raw data
Deployment

Docker Compose

Deployment

Kubernetes

Deployment

Private VPC

Deployment

On-premises

Compliance Frameworks

EU AI ActISO 42001SOC 2PCI DSSHIPAARBI IT Governance