Pilot Partner Access Only

This tool is currently available for Pilot Partners only as Step 1 of the FortMind onboarding process. Map your infrastructure so our Autonomous SOC agents (Phase 2) will know what to defend.

STEP 1: THREAT MODELING & CONFIGURATION

Adversary
AI™

Teach the AI Your Architecture

To build an Autonomous SOC that protects you, we first need to understand your infrastructure. This tool models potential attack paths based on your assets—helping our AI learn what to defend when Phase 2: Autonomous Agents activates.

Theoretical Analysis (Non-Intrusive)
Interactive Visualization
MITRE ATT&CK Framework

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Infrastructure Mapping for Autonomy

Map your environment's attack surface so our Autonomous SOC agents know what to protect. This theoretical analysis teaches the AI your architecture—preparing it to defend autonomously in Phase 2.

Fast Threat Analysis

Upload your asset details (cloud configs, network diagrams, tech stack) and get comprehensive attack path analysis in seconds. AI parses infrastructure-as-code and topology to identify vulnerabilities instantly—no weeks of manual pentesting.

Track Your History

All your analyses are saved to your account dashboard. Review past assessments and track improvements over time.

What You'll Get

Detailed Attack Paths

Step-by-step breakdown of how attackers could compromise your assets

MITRE ATT&CK Mapping

Each technique mapped to the industry-standard framework

Mitigation Strategies

Actionable recommendations to defend against each attack vector

Risk Scoring

Quantified attackability score to prioritize your security efforts

Visual Attack Graph

Interactive visualization of the complete attack chain

Export to PDF

Download professional reports to share with your team

PURPLE TEAM INTEGRATION

Continuous Defense Evolution

AdversaryAI doesn't just find gaps—it automatically teaches your Autonomous SOC how to defend against them. This creates a Purple Team flywheel where Red Team insights directly strengthen Blue Team defenses.

Red Team

AdversaryAI models attack paths and finds defensive gaps

Attack Path Discovery

Automated Feedback Loop

When AdversaryAI finds a gap, it automatically updates SOC detection logic

Auto-Update Detection Rules

Blue Team

Autonomous SOC agents now detect that specific attack pattern

Adaptive Defense

Example: Privilege Escalation via Misconfigured IAM

  1. 1AdversaryAI discovers: S3 bucket policy allows anonymous write access → Attacker uploads malicious Lambda → Privilege escalation
  2. 2Automatic SOC Update: New detection rule added: "Alert on S3 PutObject from unknown source + Lambda invocation within 5 min"
  3. 3Autonomous SOC now defends: If real attacker attempts this path, AI immediately detects, investigates, and blocks—even if you never manually wrote that detection rule

This is Purple Teaming at scale: Every attack path you model makes your defense smarter.

Ready to start configuring your Autonomous SOC?

Pilot partners will unlock Phase 2: Autonomous Agents after completing infrastructure mapping