Access: AI Shield repositories are currently private (pilot/partnership access by request).

Compliance platforms are increasingly deploying AI agents to accelerate evidence collection, questionnaires, and control mapping. For example, Vanta publicly describes using AI agents to streamline compliance workflows.

But the hard problem isn't documentation—it's runtime security for the AI agents doing the work: prompt injection, tool abuse, data leakage, and provable audit trails.

OpenAI has stated that prompt injection "is unlikely to ever be fully 'solved'" and represents an ongoing security challenge for AI agents.

Regulators and frameworks increasingly demand operational proof, not just paperwork:

• EU AI Act Article 12: High-risk AI systems must allow automatic recording of events over their lifetime (major obligations apply from 2 August 2026)
• ISO/IEC 42001: Demonstrable AI management controls
• NIST AI RMF: Continuous monitoring and risk management
• ISO/IEC 23894: Operational risk assessment

The compliance platforms secure the business. AI Shield secures the AI securing the business.

AI Shield is a production-ready platform providing the runtime protection, monitoring, and incident response capabilities that AI-powered systems need.

18 core security modules spanning prevention, detection, response, and forensics - plus the newly released Module 19: Agent Runtime Protection.

Built for the AI security gap:

• 19 security modules across prevention, detection, response, and forensics
• Cross-platform deployment (Linux/Windows) with automated installation
• Case Pack evidence format - tamper-evident packaging for regulatory submissions, government audits, and forensic investigations
• RS Event v1 telemetry - unified event schema across all modules for correlation and analysis
• 18 operational playbooks mapped to specific threats and incidents
• Export compatibility - EU AI Act, ISO/IEC audits, government inquiries, law enforcement, internal compliance

Compliance platforms can't do this because they operate at the documentation layer, not the runtime layer.

AI Shield follows a 4-step operational model:

1. Detect - Identify threats before damage occurs (prompt injection, jailbreak attempts, anomalous behavior)
2. Monitor - Runtime visibility into AI agent actions and decision-making processes
3. Contain - Automated response and isolation when threats are detected
4. Prove - Case Pack format with cryptographic evidence chains for regulatory submissions and forensic analysis

The #1 AI security threat enterprises face in 2026 is compromised autonomous agents.

OpenAI recently acknowledged that prompt injection against AI agents "is unlikely to ever be fully 'solved'" and represents a continuous security challenge. Lenovo research reports that 65% of IT leaders say their defenses are outdated and unable to withstand AI-enabled attacks (Lenovo, 2025).

AI Shield Module 19 provides three layers of protection:

1. Detection - Real-time prompt injection and jailbreak attempt identification
2. Monitoring - Behavioral analysis of agent actions (file access, API calls, system commands)
3. Evidence - Case Pack format with cryptographic audit trails for regulatory compliance

Think of it as antivirus software for AI agents - but with forensic-grade evidence chains that satisfy regulatory requirements.

Why us?

• Runs on your infrastructure (not cloud-dependent)
• Works offline (no external dependencies)
• Provides cryptographic proof for compliance audits
• Framework-agnostic (works with any agent architecture)

Module 19 is currently in pilot phase with select enterprise customers.

→ Request Technical Briefing & Pilot Access

Note: Module 19 technical repository is private (available for pilot/briefing on request).

AI Shield turns marketing claims into evidence:

• Cryptographically signed Case Packs - Every incident investigation produces tamper-evident evidence packages with cryptographic signatures
• RS Event v1 correlation - Unified telemetry format allows cross-module threat correlation and forensic timeline reconstruction
• Local/offline operation - No cloud dependencies means AI Shield works in air-gapped environments and provides complete data sovereignty

These aren't features—they're verifiable operational controls that satisfy regulatory requirements and forensic standards.

AI Shield provides the operational security layer your AI-powered compliance vision needs. Partnership discussions welcome.

Technical briefings on AI Shield's architecture, deployment models, and integration with existing security infrastructure.

Pilot programs for organizations deploying AI agents in production environments - particularly financial services, healthcare, and regulated industries.

Demonstrations of demonstrable operational controls for AI systems under EU AI Act, ISO/IEC 42001, and NIST AI RMF.

EU AI Act major obligations apply from 2 August 2026. Can you afford the risk?

Beyond AI Shield, Red Specter maintains open source security tools for authorized research and testing:

• Botnet Radar - Host-level botnet/DDoS early warning
• DDoS Flood Sentinel - UDP flood detection and alerts
• Port Surge Guardian - Listening port exposure monitoring
• C2 Hunter - Outbound C2 behavior detection
• Threat Recon Watcher - Brute-force attack detection

• AI Breach Monitor - Sensitive data leak detection in AI logs
• AI Endpoint Guard - AI tool usage visibility
• AI Usage Watchdog - Privacy-first AI/LLM usage telemetry
• AI Firewall Proxy - Policy-enforcing proxy for AI model access

• Offensive Framework - Authorized security testing toolkit
• Evidence Collector - DFIR evidence ledger and case files
• ScriptMap - Script inventory and supply chain visibility
• Email OSINT - Domain-based email intelligence

All tools provided for authorized security testing, incident response, and research purposes only.

Red Specter is actively working with organizations deploying AI agents in production environments, particularly those in:

• Financial Services - AI-powered compliance, trading systems, customer service
• Healthcare - Medical AI assistants, diagnostic support, patient data systems
• Legal - Contract analysis, document review, legal research automation
• Compliance Platforms - AI agents for continuous monitoring and audit automation

The threat landscape has fundamentally shifted:

• AI-powered attacks reaching industrial scale
• Prompt injection bypassing traditional security controls
• Model poisoning targeting RAG systems and fine-tuned models
• Shadow AI creating compliance and data leakage risks
• Regulatory pressure demanding demonstrable operational controls

Red Specter's approach:

1. Detect early - Identify threats before damage occurs
2. Monitor continuously - Runtime visibility into AI agent behavior
3. Respond fast - Automated containment and evidence collection
4. Prove everything - Case Pack format with cryptographic audit trails for regulatory compliance

AI Shield Module 19 Pilots
Limited availability for enterprise pilot programs - technical demonstrations and architecture discussions

Compliance Platform Partnerships
Integration discussions for platforms deploying AI-powered compliance capabilities

Enterprise Security Briefings
Technical presentations on AI Shield architecture, deployment models, and regulatory alignment

CISO Advisory
Strategic guidance on AI security governance, EU AI Act compliance, and operational controls

• LinkedIn: Richard Barron
• GitHub: @RichardBarron27
• Location: London, UK 🇬🇧

Built by Red Specter Security Research - 30+ years defending systems from MS-DOS to AI.

Red Specter tools are provided for authorized security testing, incident response, forensic investigation, and legitimate research purposes.

You must:

• Follow all applicable laws and regulations
• Obtain written authorization for security testing
• Use tools only on systems you own or have explicit permission to test
• Respect privacy and data protection requirements

Not for:

• Unauthorized access or malicious purposes
• Violation of computer fraud and abuse laws
• Bypassing security controls without permission

By using these tools, you agree to responsible and legal use.

Contributions to open source tools are welcome:

• Bug Reports: Open issues with reproduction steps
• Feature Requests: Describe use cases and proposals
• Pull Requests: Fork, branch, test, document
• Documentation: Improve guides and examples

Follow existing code style, include tests, and keep PRs focused on single features.

_{Red Specter Security Research | London, UK | Established 2024}

The compliance platforms secure the business. AI Shield secures the AI securing the business.