AI agent fleets operate autonomously, chain tools, hold persistent memory, and trust external inputs by default. Every one of those properties is an attack vector. Traditional perimeter security has no concept of prompt injection, memory poisoning, or agent impersonation. AI Shield was built for this gap — 114 modules covering every layer from model inference to fleet orchestration.
Direct and indirect injection attacks that override agent instructions, hijack goal state, or exfiltrate context through manipulated tool outputs and poisoned data sources.
Adversarial writes to agent memory stores — vector databases, episodic buffers, working context windows — that persist across sessions and corrupt downstream reasoning at scale.
Agents granted access to file systems, APIs, and code execution can be weaponised through over-privilege. AI Shield enforces least-privilege tool policy at the agent runtime layer.
Sensitive information leaked through model outputs, encoded in structured responses, or smuggled via tool call parameters. Detection patterns across 114 exfiltration signatures.
Malicious adapters, poisoned fine-tune checkpoints, and backdoored MCP servers masquerading as legitimate tool endpoints — all intercepted before they reach the agent runtime.
Adversary-controlled Model Context Protocol servers that inject malicious instructions, exfiltrate agent state, or perform tool poisoning through the MCP stdio and SSE transport layers.
AI Shield deploys across 17 purpose-built verticals. Each vertical packages the modules most relevant to that industry's threat model, regulatory obligations, and AI deployment patterns — from financial services fraud prevention to space/NTN autonomous systems assurance.
Every module in AI Shield is a standalone detection engine with its own signature library, behavioural heuristics, and MITRE ATLAS mapping. Modules compose into vertical deployments without interference — each one independently testable, independently deployable, independently auditable.
Real-time threat telemetry across all 114 modules — live in the AI Shield Command GUI:
AI Shield runs as a containerised microservice fleet. Each module is an independent FastAPI service behind a central orchestrator. Zero shared state between modules — a compromised module cannot contaminate the fleet. Designed to operate inside air-gapped environments, Kubernetes clusters, and CI/CD pipelines.
Every module ships as a standalone Docker container. UBI9-certified images for enterprise deployments. Zero external runtime dependencies. Fully air-gap capable.
Sub-50ms detection latency at p99. Modules run in parallel — no serial bottlenecks. Threat signals routed to SIEM within 100ms of detection via Splunk HEC, CEF, or LEEF.
AI Shield and NIGHTFALL share a bidirectional threat feed. NIGHTFALL offensive findings automatically generate AI Shield blocking rules — closing the loop between testing and production defence.
No module trusts another. Each module validates its own inputs, maintains its own signature database, and communicates only through the orchestrator API. Compromise radius is bounded to a single module.
AI Shield builds statistical baselines for every agent it monitors. Anomaly detection uses Mahalanobis distance against the baseline — not static rules. Adapts to fleet changes automatically.
REST API with OpenAPI spec. Python SDK published to PyPI. Hooks for LangChain, AutoGen, CrewAI, and custom agent orchestrators. Middleware injection supported for transparent deployment.
AI Shield is the defensive counterpart to NIGHTFALL. Every offensive finding from NIGHTFALL tools generates a real-time blocking rule in AI Shield. The feedback loop is bidirectional — running FORGE against a model produces AI Shield policy. Running ARSENAL against an agent produces runtime detection signatures.
AI Shield modules are available as Docker containers (UBI9 certified), Python packages via PyPI, and as Kubernetes Helm charts. All deployment paths produce the same module behaviour — consistent signatures, consistent latency, consistent API surface.
Red Specter AI Shield is an authorised security product intended for deployment on systems you own or are contractually authorised to protect. AI Shield modules operate in monitoring and blocking modes — ensure that blocking mode deployment is authorised by your organisation's change management process before activation. Module behaviour must be validated against your specific AI agent deployment before production rollout. All modules operate under Apache License 2.0. Red Specter Security Research Ltd accepts no liability for incidents arising from misconfiguration or unauthorised deployment.