Autonomous Penetration Testing at Machine Speed
12 AI agents. 90+ dynamic techniques. Full kill chain coverage. From reconnaissance to reporting — Phalanx finds what others miss.
Capabilities
Security Testing, Reimagined
Each agent is an AI-powered specialist with deep domain expertise, coordinating through distributed task queues and real-time mesh networking to deliver comprehensive coverage.
Autonomous Scanning
12 AI agents with 90+ dynamic security techniques scan your infrastructure autonomously across network, web, cloud, and Active Directory environments.
Full Kill Chain
From reconnaissance through exploitation to reporting. Complete MITRE ATT&CK coverage across every phase.
AI-Powered Analysis
AI agents reason about findings, chain vulnerabilities, and prioritize risks with contextual intelligence.
Real-Time Dashboard
Live attack graphs, finding streams, and agent monitoring. Watch your security posture unfold in real time.
Credential Discovery
Automated credential testing, hash cracking, Kerberoasting, and cross-service credential spraying.
Cloud Security
Native scanning for AWS, Azure, GCP, and Kubernetes. Detect misconfigurations, exposed secrets, and privilege escalation paths.
Human-in-the-Loop
Configurable approval gates for sensitive operations. You stay in control while AI does the heavy lifting.
MITRE ATT&CK Mapped
Every finding mapped to MITRE ATT&CK techniques and tactics. Speak the same language as your SOC team.
Per-Engagement VPN
Isolated VPN gateway per engagement with automatic route injection. Test segmented networks without exposing your infrastructure.
Evidence Chain of Custody
Every finding backed by integrity-protected evidence with full chain of custody. Command output, HTTP exchanges, and code snippets — all tamper-proof and audit-ready.
Hardened Against Target Manipulation
Agents treat everything a target returns — HTTP responses, file contents, error messages, injected payloads — as untrusted input. Malicious content hidden inside a compromised system cannot hijack Phalanx's own coordination or steer agents off-task. What the target says has no authority over how Phalanx operates.
Bring Your Own LLM
Phalanx is LLM-agnostic. Run it on Claude, any OpenAI-compatible service, or fully self-hosted local models — and switch per engagement when client data classification requires a specific approved provider. No vendor lock-in, no forced model dependency.
Workflow
How It Works
From scope definition to actionable reports in four simple steps.
Define Scope
We work with you to define targets, exclusions, and engagement parameters with approval gates for sensitive operations.
Agents Deploy
12 AI agents activate and dynamically load techniques from a library of 90+ security skills to begin autonomous reconnaissance across your attack surface.
Autonomous Testing
Agents discover, exploit, and chain vulnerabilities across the full kill chain. Findings broadcast in real time.
Actionable Reports
AI-generated reports with MITRE ATT&CK mapping, evidence, and remediation guidance. Export to PDF, HTML, or JSON.
Architecture
Built for Scale & Security
Enterprise-grade infrastructure designed for reliable, isolated multi-engagement security testing.
GraphRAG Knowledge Base
Relationship-aware retrieval over hosts, services, and vulnerabilities. Attack path discovery via knowledge graph queries.
Dynamic Skill Loading
Agents retrieve technique-specific methodologies at runtime from a vector-indexed library of 90+ security skills.
Distributed Task Engine
Reliable task distribution with deduplication, priority scheduling, and automatic orphan recovery.
Real-Time Agent Mesh
Dual-path communication for task coordination and low-latency credential and finding broadcast between agents.
Semantic Finding Dedup
Embedding-based duplicate detection per engagement, preventing alert fatigue across overlapping agent scans.
HITL Approval Gates
Human-in-the-loop controls for destructive or sensitive operations. Agents pause mid-execution until authorized.
Adaptive Tool Selection
Tool effectiveness tracking across engagements. Agents learn which tools work best for each service and context.
Client Data Never Crosses Engagements
Every engagement has scoped data stores, credentials, and knowledge bases, with isolation enforced on both the server and client sides. Users with access to multiple engagements only ever see data from the one they are actively viewing — no shared caches, no shared queries, no cross-engagement leakage even in shared UI surfaces.
Tamper-Proof Agent Coordination
Agents communicate over an authenticated coordination channel and verify every control signal before acting on it. Attacker-crafted content hidden inside target output cannot impersonate Phalanx's own inter-agent directives or redirect agent behavior.
Cost-Aware by Design
Phalanx stops spending the moment there is nothing left to find. Every agent runs under a hard per-task budget ceiling, abandoned or completed engagements auto-suspend when no live work remains, agents are forced to pivot off dead-end techniques instead of grinding on them, and semantic finding deduplication ensures the same vulnerability is never paid for twice. You get predictable, capped costs — not a surprise invoice when an engagement wanders off-plan.
Agent Arsenal
12 AI Agents, 90+ Techniques
Generalist agents that dynamically load security techniques at runtime. Each agent adapts to what it discovers.
Recon Agent
Port scanning, DNS enumeration, OSINT, and attack surface mapping. Dynamically loads reconnaissance techniques to build a complete picture of your environment.
Web Agent
SQLi, XSS, SSRF, LFI, deserialization, API testing, CMS exploitation, and authentication bypass. Loads 30+ web attack techniques on demand.
Network Agent
Protocol-level testing across SSH, FTP, SMTP, SNMP, RDP, and 15+ other network services. Each protocol skill loaded dynamically as services are discovered.
Windows Agent
Active Directory attacks: Kerberoasting, ADCS exploitation, NTLM relay, SMB enumeration, LDAP analysis, and domain privilege escalation paths.
Cloud Agent
AWS, Azure, GCP, Kubernetes, container escape, and IaC scanning. Detects misconfigurations, exposed secrets, and privilege escalation paths.
Exploit Agent
Privilege escalation, lateral movement, and persistence. Chains vulnerabilities discovered by other agents into full compromise paths.
Credential Agent
Password spraying, hash cracking, secret discovery, credential reuse testing, and cross-service validation to uncover authentication weaknesses.
Analysis Agent
Cross-finding correlation, attack chain mapping, risk assessment, source code review, and gap analysis. Synthesizes all agent findings into actionable intelligence.
Report Agent
AI-generated reports with MITRE ATT&CK mapping, CVSS scoring, evidence, and remediation guidance. Export to PDF, HTML, JSON, or Markdown.
Secret Agent
Discovers hardcoded secrets, API keys, tokens, and credentials across source code, config files, environment variables, and cloud metadata.
Segmentation Agent
Validates network segmentation controls, firewall rules, and zone boundaries. Identifies lateral movement paths between network segments.
CTF Agent
Specialized for capture-the-flag engagements. Chains exploitation techniques, extracts flags, and completes multi-step challenge flows.
12 agents with dynamic skill loading — covering the full penetration testing kill chain with 90+ security techniques
FAQ
Frequently Asked Questions
Everything you need to know about Phalanx and AI-powered penetration testing.
Phalanx is a multi-agentic penetration testing platform that uses 12 AI-powered agents with 90+ dynamically loaded security techniques to perform comprehensive security assessments. It covers the full kill chain from reconnaissance through exploitation to reporting, providing enterprise-grade PTaaS (Penetration Testing as a Service).
Each agent is a generalist AI instance covering a security domain (web, network, cloud, Windows, etc.). Agents dynamically load technique-specific skills at runtime from a library of 90+ security methodologies. They receive tasks via a distributed queue, execute using real security tools, and broadcast findings in real time. They chain discoveries and coordinate autonomously.
Phalanx covers network scanning, web application testing, Active Directory attacks, cloud security (AWS/Azure/GCP/K8s), credential testing, API security, CMS vulnerabilities, infrastructure as code analysis, and more. All findings are mapped to MITRE ATT&CK techniques.
Yes. Phalanx includes Human-in-the-Loop (HITL) approval gates that require human authorization before executing sensitive or potentially destructive operations. Every engagement is scoped with exclusions and boundaries to protect critical assets.
Phalanx findings are mapped to MITRE ATT&CK techniques and tactics. Reports include CVSS scoring, OWASP alignment, and can be customized for PCI DSS, SOC 2, HIPAA, and other compliance frameworks.
Yes. Phalanx provides a comprehensive REST API, webhook notifications, and exports in JSON, PDF, HTML, and Markdown formats. It integrates with your existing SIEM, ticketing, and CI/CD pipelines.
Phalanx is LLM-agnostic. It runs natively on Claude, on any OpenAI-compatible service, and on fully self-hosted local models. Providers can be swapped per engagement — which matters when an engagement involves regulated or classified data that is only approved for specific LLMs (for example, data that cannot leave a jurisdiction or that requires an on-prem-only inference stack). You control which model handles which engagement.
HITL is Phalanx's approval system where agents request human authorization before performing sensitive operations like exploitation attempts, credential spraying, or destructive tests. Agents pause mid-execution until authorized to proceed.
No. Phalanx treats everything a target returns — HTTP responses, file contents, error messages, injected payloads — as untrusted input. The authenticated coordination channel between agents means attacker-crafted content hidden inside target output cannot impersonate Phalanx's own inter-agent control signals. Agents stay on-task under Phalanx's control no matter what a compromised target emits.
Every engagement runs with scoped data stores, scoped credentials, scoped knowledge bases, and scoped dashboards. Isolation is enforced on both the server and the client side: users with access to multiple engagements only ever see data from the one they are actively viewing. No shared caches, no shared queries, no cross-engagement leakage — even in shared UI surfaces that render data from different engagements at different times.