MythosScanner
Technical Architecture

Claude Mythos Engine:
Architecture & Roadmap

A deep look at the multi-stage AI pipeline that powers Mythos vulnerability detection — from application crawling through contextual attack modeling to validated finding delivery.

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Analysis Pipeline

Six-stage reasoning pipeline

Every Mythos scan runs through a structured multi-stage pipeline, where each stage informs the next — building toward findings that reflect real-world exploitability.

01

Discovery & Mapping

Crawl the target application to enumerate endpoints, JavaScript bundles, API routes, forms, and external integrations. Build a structured application graph.

HTTP crawlerJS analysisOpenAPI parserGraphQL introspection
02

Context Modeling

The AI analyzes the application graph to understand authentication flows, data ownership, trust boundaries, and the intended behavior of each component.

Flow analysisAuth mappingTrust boundary inferenceData classification
03

Attack Hypothesis Generation

Claude Mythos generates targeted attack hypotheses for each endpoint — not canned payloads, but contextually-reasoned test cases that reflect real attacker strategies.

Attack modelingHypothesis rankingPayload customizationChain detection
04

Active Testing

Controlled, targeted probes are executed against the application. The AI monitors responses and adjusts test strategy based on application behavior.

Controlled probingResponse analysisAdaptive testingRate control
05

Exploitability Validation

Findings are validated for real exploitability — Mythos confirms the vulnerability is triggerable in the application's actual configuration before reporting.

Exploitability scoringContext validationFalse positive filteringCVSS mapping
06

Report Generation

Validated findings are compiled into structured reports with severity ranking, remediation code examples, compliance mapping, and developer-friendly context.

Priority rankingRemediation codegenCompliance mappingAPI delivery
Roadmap

Where Claude Mythos is headed

We build in public. Here's our current roadmap — from alpha through autonomous agent capabilities.

Alpha (Current)

Active
  • Web application scanning (HTTP/HTTPS)
  • OWASP Top 10 detection
  • REST API coverage
  • Initial AI reasoning pipeline
  • Basic report generation

Beta

In Development
  • GraphQL and gRPC support
  • CI/CD pipeline integration (GitHub Actions, GitLab CI)
  • Advanced attack chain modeling
  • Custom rule definitions
  • Webhook notifications

v1.0

Planned
  • Real-time continuous monitoring
  • Multi-application portfolio scanning
  • Compliance reporting (SOC 2, ISO 27001)
  • Team collaboration features
  • On-premise deployment option

Future

Research
  • Autonomous penetration testing agents
  • Mobile application scanning
  • Cloud infrastructure security analysis
  • Adversarial simulation mode
  • Custom AI fine-tuning for enterprise
Shape the Roadmap

Join early access and influence what we build

Early access members get direct input on the roadmap and first access to new capabilities.