ROOT ACCESS PROTECTION

The Platform

The Adversary Reasoning Platform

One platform. Five engines. Continuous evidence.

The Adversary Reasoning Platform captures real attacker methodology from the wild and continuously validates whether it would succeed against your defenses — across infrastructure, applications, and AI systems. This is security validation with discipline, evidence, and no surprises.

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Architecture

Five Engines, One Platform

Every engine feeds from — and feeds back into — the Tradecraft Engine. Observed methodology powers everything. The platform serves traditional adversary operations and AI security validation alike.

Adversary ReasoningPlatformRAPTTradecraft EngineObserved MethodologyVValidation EngineContinuous EmulationHHunt EngineCETHAAAI Adversary EngineLLM / Agent / MCPSAdversary SimulationCampaign Emulationfeedback loop

Traditional + AI: The Tradecraft Engine and Validation Engine serve both traditional infrastructure/application security and AI systems. The AI Adversary Engine adds AI-specific depth. The platform is not AI-only — it powers every adversary operation.

Capabilities

What Each Engine Does

Five specialized engines. Each with a distinct mission. All connected through observed attacker methodology.

T

Tradecraft Engine

The intelligence backbone. The Tradecraft Engine captures observed attacker methodology from real-world operations — from network exploitation and credential abuse to prompt injection and agentic manipulation. Every engagement feeds the knowledge base, building an ever-growing repository of how adversaries actually operate.

From network exploitation to prompt injection — every engagement feeds the knowledge base.

  • •Captures methodology from real adversary operations in the wild
  • •Extracts decision-making patterns, not just IOCs
  • •Feeds validated tradecraft to all other engines
  • •Covers infrastructure, application, and AI attack surfaces
  • •Integrates with RAP Core threat intelligence platform
APT29T1078CredentialPhishingLateralC2Exfil
V

Validation Engine

Continuous threat emulation across your entire attack surface — infrastructure, applications, and AI systems. The Validation Engine takes tradecraft from observed methodology and executes it against your environment under disciplined rules of engagement. This is traditional red team and pentest operations, elevated to mission tempo.

Continuous threat emulation across infrastructure, applications, and AI systems.

  • •Continuous validation at mission tempo (not annual snapshots)
  • •Regression testing after every environment change
  • •Attack path narratives with business impact framing
  • •Detection gap summaries showing where visibility failed
  • •ROE-enforced operations with deconfliction
1Recon2Access3Persist4Escalate5Impact60%
H

Hunt Engine

Constrained Environment Threat Hunting Assessment (CETHA). Purpose-built for environments where traditional hunting hits a maturity ceiling — IOC-only SIEMs, fixed telemetry schemas, shallow query depth. The Hunt Engine operates hypothesis-driven hunts that outsmart the data.

  • •Hypothesis-driven hunting in telemetry-constrained environments
  • •Recursive pivoting and entity-relationship mapping
  • •Graph-based hunt memory that persists across engagements
  • •External intelligence integration for enrichment
  • •Anomaly detection where behavioral queries aren't available
H₀DNSAuthBeaconTunnelBruteReuse✓✓
A

AI Adversary Engine

Adversarial validation purpose-built for AI systems. Tests LLMs, agents, RAG pipelines, and MCP integrations against the full spectrum of AI-specific attacks — prompt injection, goal hijacking, tool misuse, memory poisoning, and cascading failures.

  • •OWASP LLM Top 10, Agentic, and MCP framework coverage
  • •MITRE ATLAS-mapped adversarial techniques
  • •266+ probes across 30 testable categories
  • •Agentic attack chains (goal hijacking, tool misuse, privilege escalation)
  • •EU AI Act and NIST AI RMF conformity evidence
87%of testableOWASP LLM Top 10 Coverage266+ probes
S

Adversary Simulation Engine

Campaign-based adversary emulation that models multi-phase attack scenarios using observed TTPs from the Tradecraft Engine. Full kill-chain progression from initial reconnaissance through exfiltration, with automated orchestration via Caldera integration.

  • •Multi-phase campaign execution using observed methodology
  • •Kill-chain progression: recon → access → establish → escalate → move → collect → exfiltrate
  • •Caldera integration for automated adversary emulation
  • •Feedback loop: simulation findings feed back to Tradecraft Engine
  • •Campaign deconfliction and parallel operation management
1Recon2Access3Establish4Escalate5Move6Collect7ExfilCampaign: External AdversaryPhase 4/7 — Escalate

Operations Console

Purpose-Built for Adversary Operations

A unified operations console for managing campaigns, tracking findings, and producing evidence packages — designed by operators, for operators.

The operations console unifies campaign management, severity tracking, MITRE ATT&CK mapping, and evidence production into a single interface. Currently in v0.3 — evolving with every engagement.

How It Works

From Observed Methodology to Remediation

The platform compresses the time between attacker innovation and defender validation.

It begins with observation — capturing real attacker methodology from constrained interaction environments, not replaying MITRE playbooks. Those observations become captured tradecraft — decision-making patterns, technique chains, and operational behaviors that represent how adversaries actually think and operate.

That tradecraft feeds into continuous validation — executing observed methodology against your environment under disciplined rules of engagement. Every validated finding produces evidence — attack path narratives, detection gap summaries, business impact framing, and MITRE-mapped findings.

The cycle completes with remediation — board-ready summaries, engineering-specific guidance, regression test baselines, and the institutional knowledge that makes your organization incrementally harder to compromise.

This isn't a one-time assessment. It's a continuous loop that runs at mission tempo.

1ObserveCapture adversary methodology from the wild2CaptureExtract decision patterns & tradecraft3ValidateExecute against your environment4EvidenceProduce attack paths & business impact5RemediateBoard-ready summaries & regression tests

Credibility

Built by Operators. Not Consultants.

The Adversary Reasoning Platform isn't built by security consultants who read about attacks. It's architected by practitioners with operational experience in computer network operations and national-level offensive programs — where structured targeting, mission planning, and evidence standards aren't best practices. They're doctrine.

That operational discipline is embedded in the platform's architecture. The Authorized Adversary Operations (AAO) framework is a direct descendent of offensive doctrine — ensuring every engagement follows structured targeting, authorized access operations, and rules of engagement enforcement. Not because it's required for compliance. Because it's how real operations work.

The result is a platform that scanner companies can't replicate — because operational discipline can't be automated.

Operator Credibility

CNO / TAOOperational heritage from national-level computer network operations
AAO FrameworkAuthorized Adversary Operations — doctrine-informed engagement methodology
Target PackagesIntelligence-grade targeting methodology — not scan-and-spray
Rules of EngagementOperationally enforced boundaries — every action authorized, every boundary explicit
Evidence StandardsChain-of-custody evidence with business impact framing — not PDF screenshots

Platform Capabilities

MITRE ATT&CK + ATLASDual-framework mapping for traditional and AI adversary techniques
OWASP LLM / MCP / AgenticComplete framework coverage across three OWASP AI standards
OpenTelemetryObservability-grade telemetry for operation instrumentation
Graph-based hunt memoryEntity-relationship persistence across engagements
Caldera integrationAutomated adversary emulation orchestration
Target Package objectsStructured intelligence objects for precision targeting

Coming Soon

Campaign DeconflictionParallel operation management and coordination
Institutionalization PipelineAutomated remediation tracking and organizational learning

Clarification

What the Platform Is Not

The Adversary Reasoning Platform does not fit into the existing vendor taxonomy, and that's by design.

✕

Not a vulnerability scanner

Scanners find CVEs. The platform validates whether your defenses stop real attacker methodology — and models what happens after initial access.

✕

Not a BAS tool

Breach and Attack Simulation platforms replay MITRE playbooks. The platform executes observed methodology captured from real adversary operations in the wild.

✕

Not an AI pentest button

AI cannot replace the judgment required to know when a technique matters, why an adversary would choose it, and what behaviors follow. Automation handles repetition. Humans retain authority.

✕

Not an MDR/XDR replacement

Those tools sit inside your defensive stack. The platform sits outside as an authorized adversary and hunter, validating whether your stack actually stops what real attackers do.

See the Platform in Action

Root Access Protection operates with deliberate capacity constraints. We work with organizations that prioritize rigor, evidence, and disciplined tradecraft.

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