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RichardBarron27/README.md

Red Specter — Innovation Beyond Belief 🔥

A collection of defensive and offensive security tools, research projects, and internal R&D maintained by Red Specter.
Built for security teams, incident responders, and authorized researchers.
Detect → Block → Contain → Prove.

Table of contents

Overview

Red Specter focuses on practical visibility and response across:

  • Botnet activity and early-stage DDoS signals
  • C2-style outbound behaviour and beaconing
  • Sudden service exposure and brute-force patterns
  • AI-era risks: shadow AI usage, prompt injection, and data leakage
  • Fast containment and evidence-first reporting

This profile README is a high-level inventory with links to each repo.

Public tools

(Available for authorized public use; follow each repo’s README and license.)

Private R&D

(Internal and restricted. Not for public distribution without authorization.)

  • Breach Containment Switch — One-command web containment + evidence snapshot.
  • AI ShadowOps Detector — Covert AI usage detection with evidence logs.
  • Cognitive Drift Sentinel — Model behaviour drift monitoring over time.
  • Ransomware Canary Sentinel — Pre-encryption mass-change alerts without encryption.
  • AI Jailbreak IDS — Prompt-injection / jailbreak intent detection with logging.
  • AI Decision Provenance — Cryptographic decision logging for AI accountability.
  • LLM Memory Forensics Kit — Scans AI memory/log dumps for risky indicators + tamper-evident reports.
  • Red Defender — Autonomous multi-agent defensive AI prototype.
  • Log Anomaly Sentinel — Rare command and log pattern detection.
  • Beacon Detector — Timed C2 beaconing detection.
  • Companion Sentinel — Manipulation/dependency pattern detection in AI companion chats.
  • Botnet Radar Pro — Enterprise-tier botnet scoring and enrichment.
  • Red Specter Lab — Internal lab scripts, SOPs, and tooling backbone.
  • Takedown Dossier Generator — Converts JSONL telemetry into evidence-ready takedown packs (IOCs, timeline, templates, tamper-evident hashes).
  • Deepfake Verification Guard — Liveness + out-of-band verification packs for voice/video fraud (includes Ticket/QR Verification Pack).

🚀 Current Focus: Red Specter AI Shield (Deployment Ready)

A fully integrated, production-ready platform for AI security.

The Red Specter AI Shield unifies 12 security modules—from prevention to forensic response—into a single deployable suite. It is fully functional, tested, and ready to secure AI/LLM deployments.

Core Deliverables:Integrated Platform: 12 modules on a unified event schema (RS Event v1). ✅ Forensic Evidence: Automated, tamper-evident case packaging. ✅ Status: Deployment Ready — Available for pilot deployment and evaluation.

Interested in a deployment pilot or seeing a technical walkthrough? Please connect with me on LinkedIn to discuss.

Usage & access

  • Public tools: follow each repo’s README, licensing, and usage notes.
  • Private R&D: restricted to internal staff and vetted partners. Do not attempt to run or distribute without approval.

Responsible use & legal

Some tooling and research can be misused.
You must follow applicable laws, have written authorization for offensive testing, and follow employer/client policies.
Always obtain explicit permission before testing systems you do not own.

Contributing

  • Open an issue for feature requests and larger proposals.
  • For fixes: fork, branch, PR, and include tests + docs.

Pinned Loading

  1. redspecter-ai-breach-monitor redspecter-ai-breach-monitor Public

    Detects sensitive data leakage and unsafe patterns within AI and LLM prompt logs.

    Shell

  2. redspecter-botnet-radar redspecter-botnet-radar Public

    Botnet Radar — host-level anomaly detection for defensive operators. Watches packet-rate spikes and distributed UDP patterns to surface early signs of botnet behavior and DDoS activity. Offense-dri…

    Python