AI Security Products

Two products. One protects the internal behavior of advanced AI systems. The other gives security teams AI-powered offensive testing capability.

HotWAN AI Cognitive Defense Platform

Protect the neural circuitry of AI.

HotWAN AI Cognitive Defense Platform helps organizations protect and evaluate AI systems at a deeper level than output review alone. The platform analyzes internal behavior, multimodal interactions, routing integrity, adaptive drift, and reasoning-to-tool execution across production AI environments.

Suited for teams deploying open-weight models, multimodal pipelines, and agent-based systems where what happens inside the model matters as much as what comes out.

RouteGuard

Protects MoE routing integrity

ChainScope

Detects behavioral gadget chaining

CrossTrace

Analyzes multimodal trigger composition

DriftShield

Monitors adaptive policy drift and RL abuse

ActionGuard

Controls reasoning-to-tool execution paths

LatentScope

Identifies hidden activations and dormant backdoors

Route & Activation Integrity

Analyze how advanced models route across internal pathways, activate hidden behaviors, and shift under adversarial conditions.

Multimodal Behavior Analysis

Evaluate how text, image, audio, and video interactions combine into higher-risk system behavior and latent activation chains.

Agent & Toolchain Control

Assess how models interact with tools, APIs, search, files, and connected systems, with emphasis on reasoning-to-action control.

Drift, Retest & Validation

Measure how mitigations perform after tuning, architecture changes, policy updates, and model replacement.

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AI Red Spark

From source code to web and API penetration testing.

AI Red Spark helps security teams test their environments the way attackers do — by moving beyond static findings and pursuing real attack paths across source code, web applications, and APIs. The platform combines code-aware analysis with automated offensive testing to identify exploitable vulnerabilities, chained weaknesses, exposed logic, and issues that create meaningful risk.

Built for internal security teams, consultancies, and modern application environments. Stronger validation, clearer prioritization, and more repeatable testing without reducing offensive work to generic automation.

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  • Attacker-perspective testing
  • Source code to runtime coverage
  • Web application penetration testing
  • API security validation
  • Validated exploit paths
  • Faster offensive execution
  • Clearer remediation priorities
  • Repeatable offensive testing

Serious AI Systems Need Serious Protection.

Protect your AI systems. Accelerate your offensive testing. Let's talk.