AI Adversary Simulation

Phantom — AI Adversary Simulation

Know your blind spots before attackers do.

Phantom generates AI-driven attack campaigns tailored to your environment, tests them against your defenses, and shows exactly what your SIEM cannot see. Instead of waiting for a breach to discover your weaknesses, Phantom simulates sophisticated adversaries that probe your detection logic, map your blind spots, and deliver a prioritized remediation roadmap — all without ever leaving your network.

Core Capabilities

Six integrated modules that expose every gap in your security posture.

Attack Campaign Generation

AI generates multi-vector, multi-step attack campaigns tailored to YOUR specific environment — tech stack, SIEM rules, network topology, security controls.

Each attack step shows what it looks like to your SIEM (normal traffic) vs. what it actually is (malicious activity).

SIEM Blind Spot Analysis

Phantom maps your SIEM rules against AI-generated attacks to identify exactly which detection rules fail and why. If your defense relies on if/then logic, Phantom shows you where it breaks.

Red vs. Blue Simulation

Run generated attacks through Aegis (causal detection) and compare against your SIEM (pattern matching). See the detection gap in real-time.

Your SIEM caught 3 of 10 steps. Aegis caught 8. Here are your 7 blind spots.

AI Phishing Simulation

Generate hyper-targeted phishing campaigns using your company's public information. GitHub breadcrumb analysis reveals what attackers already know about your internal systems.

Vulnerability Report Card

Comprehensive vulnerability assessment with a letter grade, critical blind spots, and prioritized remediation roadmap.

100% On-Premise Deployment

Runs entirely inside your network. Zero external API calls. Your security posture never leaves your premises. Powered by an on-premise AI model.

How It Works

From security profile to vulnerability report in four steps.

1

Upload Security Profile

Provide your SIEM rules, network topology, tech stack, and security controls.

2

Generate Attack Campaign

AI creates multi-vector attack campaigns tailored to your specific environment.

3

Simulate Against Defenses

Run campaigns through your SIEM and Aegis to measure the detection gap.

4

Get Vulnerability Report

Receive a graded report with blind spots, detection gaps, and remediation steps.

The Thesis

Why Phantom

Cybersecurity is no longer a tech battle. It is an inference battle.

Most SIEMs look for “bad” patterns. AI-driven attackers create “normal” patterns. The attacks that breach your network do not look like attacks — they look like regular Tuesday traffic. Signature-based and rule-based detection was built for a world where threats follow known templates. That world no longer exists.

Phantom proves this by generating attacks that evade your SIEM — then Aegis shows how causal detection catches what pattern-matching misses. The gap between what your SIEM sees and what Aegis sees is your real attack surface.

Pattern Matching (SIEM)

Looks for known bad signatures. Blind to novel attack patterns that mimic normal behavior.

Causal Detection (Aegis)

Identifies anomalous causal structures. Catches attacks even when individual events appear normal.

Tech Stack

On-Premise AI Model

Open model, fully on-premise, zero external calls

MITRE ATT&CK Intelligence

Comprehensive adversary tactics and technique mapping

Graph-based Lateral Movement

Network topology traversal and attack path analysis

Causal Detection via Aegis

Integrated causal inference for detection gap analysis

AI Stack

On-Premise AI ModelMITRE ATT&CK Knowledge BaseGraph-based Attack Path AnalysisCausal Detection (Aegis Integration)Adversarial Campaign GenerationPhishing Intelligence Engine

API Endpoints

POST/v1/phantom/profile
POST/v1/phantom/campaign
POST/v1/phantom/simulate
GET/v1/phantom/report/{id}
POST/v1/phantom/phish
Try Phantom Free

60 req/min in sandbox mode, no credit card required