June 6, 2026

Mythos SecOps Intelligence Platform

🛡️ Mythos SecOps Intelligence Platform

Terrell

3 min read

Verify. Patch. Defend. — The modern 2026-generation autonomous threat remediation & closed-loop SecOps engine built for enterprise security operations.

⚡ Value Proposition

Mythos SecOps transitions enterprise security programs from simple "Detect-Only" alerts to "Autonomous, Closed-Loop Remediation". Standard vulnerability scanners (Semgrep, Snyk, NVD) flood development teams with noisy tickets, 70% of which are non-exploitable.

Mythos resolves this by:

  1. Flow Tracing: verifying if untrusted input can reach code-level sinks before raising alarms.
  2. Auto-Remediation: synthesizing verified patches for detected flaws.
  3. Safe Sandbox Verification: compiling, testing, and automatically rolling back changes if a test fails.
  4. Self-Healing Loop: continuously monitoring application performance, self-correcting exceptions, and auto-installing missing packages dynamically.
  5. Global Audit Search: providing a role-restricted (Auditor/Admin) unified query bar allowing CISOs and auditors to verify CVE reachability, historic patch executions, and validation logs instantly.

Estimated ROI: Saves ~$25,500/month in dev engineering time by resolving MTTR to under 15 seconds.

💰 Commercial Pricing Tiers

Mythos SecOps is commercialized under a value-based, flat recurring subscription model, designed to prevent surprise overages:

  • Growth Tier ($2,500/month, Flat, Billed Annually): Predictable flat-rate cloud/hybrid deployment. Caps usage at 10 repositories. Automated, closed-loop patching powered by the Claude 3.5 Sonnet reasoning engine, with Slack/Teams alerts.
  • Air-Gap Moat Tier ($7,500/month, Flat, Billed Annually): High-margin compliance tier. Uncapped repositories. Runs all vulnerability tracing and patch validation 100% locally on the customer's private network via an Ollama/self-hosted model bridge (Llama 3.1), ensuring zero cloud data leakage.
  • Enterprise Platinum (Custom): Full organization deployment, custom AST rule synthesis, 24/7 dedicated security engineering support, and strict remediation SLAs.

🧠 System Architecture & Module Flow

+-------------------------------------------------------------+
    |                 GLOBAL THREAT FEEDS & SCANS                 |
    |          (NVD CVE Stream, Semgrep JSON Reports, Snyk)       |
    +------------------------------+------------------------------+
                                   |
                                   v
    +------------------------------+------------------------------+
    |                    INGESTION & VPR ENGINE                   |
    |          * Deduplicates threat signatures                   |
    |          * Computes Vulnerability Priority Rating (0-10)     |
    +------------------------------+------------------------------+
                                   |
                                   v
    +------------------------------+------------------------------+
    |                 FLOW TRACING & VERIFICATION                 |
    |          * Checks call reachability and inputs-to-sinks     |
    +------------------------------+------------------------------+
                                   |
                                   v
    +------------------------------+------------------------------+
    |                 AUTONOMOUS PATCH WORKER                     |
    |          * Clones repository in safe temp workspace         |
    |          * Synthesizes AST diff or localized code fix       |
    |          * Runs test suites and auto-rolls back on failure  |
    +------------------------------+------------------------------+
                                   |
                                   +-------------------+
                                   |                   |
                                   v                   v
    +------------------------------+   +---------------+----------+
    |      ALERTS & TICKETING          |   |  SELF-HEALING DAEMON     |
    |   * Slack / Teams alerts         |   |  * Scans core logs       |
    |   * Jira / GitHub Ticketing      |   |  * Auto-fixes exceptions |
    +----------------------------------+   +--------------------------+

Core Code Modules

  • app.py — Core Flask application serving API routers, JWT authentication, OIDC SSO login/callback endpoints, webhook configurations, and static dashboard assets.
  • db.py — SQLite database schema with scoped multi-tenant tables for findings, subscriptions, audit trails, and webhooks.
  • flow_tracer.py — Taint analysis engine that parses Python source files, tracks variables from user-inputs (sources) to database queries or shells (sinks), and classifies the trace as CONFIRMED or MITIGATED.
  • two_stage_pipeline.py — Enriches incoming scans by correlating them with the Flow Tracer, calculating a verification confidence score, and generating sanitized patch candidates.
  • patch_worker.py — Clones target repositories locally to data/tmp_clones, performs version parsing, syntax checks, runs package-level tests, and automates sandbox rollbacks.
  • self_healing.py — Background self-repair loop that monitors data/core_ops.log for tracebacks, fetches solutions from StackOverflow/web security resources, auto-installs missing requirements (pip install), and corrects syntax dynamically.
  • webhooks.py — Active alert dispatching engine supporting Slack block payloads, Microsoft Teams cards, and custom POST endpoints.
  • export.py — Generates SOC 2, HIPAA, and ISO-compliant audit logs in CSV format.

🛠️ Environment Configuration

Create a .env file in the project root to configure the integrations:

# Security & Modes
MYTHOS_MODE=sandbox
MYTHOS_SECRET=your_production_session_secret_key
MYTHOS_TOKEN=your_custom_api_auth_token
# API Core Model Keys
GROQ_API_KEY=your_groq_api_key
ANTHROPIC_API_KEY=your_anthropic_api_key
# Local Air-Gap Inference (Ollama)
OLLAMA_ENDPOINT=http://localhost:11434
# Git / SSO Config
MYTHOS_SSO_DISCOVERY_URL=https://your-identity-provider.com/.well-known/openid-configuration
GITHUB_TOKEN=your_github_personal_access_token
GITHUB_REPO=https://github.com/your-org/your-repo
# Jira Integration
JIRA_API_TOKEN=your_jira_token
JIRA_EMAIL=your_email@company.com
JIRA_DOMAIN=your-subdomain.atlassian.net

🚀 Quick Start Guide

Prerequisites

  • Python 3.10+
  • Git CLI (configured on system PATH)
  • Docker & Docker Compose (optional)

One-Click Launch (Windows)

Double-click run.bat in the root of the folder. This script will automatically create a virtual environment, install requirements, and run the Waitress production web server on port 2026.

Run with Docker Compose

docker compose up --build

This spins up the production Flask application on port 2026 with host volume mapping for database and log persistence.

Manual Setup

  1. Install requirements:
  • pip install -r requirements.txt
  1. Start the application:
  • python app.py

🧪 Developer Testing

All test suites reside inside the scratch/ folder (untracked in Git) to maintain repository boundaries.

Run Complete Offline Tests

Runs all unit checks, pipeline, and VPR prioritizers without requiring the server to be running:

python -m unittest discover -s scratch -p "test_*.py"

Run Live Server Integration Tests

To test SSO authentication callbacks, log dispatches, and dashboard buttons, first launch the server (python app.py), and then execute:

python -m unittest scratch/test_buttons_and_logs.py

🛡️ License

Licensed under the MIT License.