Detect. Patch. Verify.
Secure AI Agents.
Full-cycle security for IM-based AI agents — from automated threat detection to patch instructions and continuous re-verification.
No agent modification needed. Deploy as SaaS on Cloud Run or on-premise in your own infrastructure.
One probe link. Complete security lifecycle.
The Security Loop in Action
Real-time metrics from agents continuously improving through the detect → patch → verify cycle.
Not Just a Report — A Complete Security Lifecycle
ClawShield doesn't stop at finding vulnerabilities. It generates actionable patch instructions, applies fixes, and re-verifies — closing the loop automatically.
Detect
53 attack scenarios across 6 threat categories. Prompt injection, data exfiltration, secrets leakage, tool misuse, hallucination, and memory poisoning.
Report
Evidence-based findings with exact attack prompts and agent responses. Risk scores, severity breakdown, and exportable JSON/PDF reports.
Patch
Prioritized remediation packs with specific fix instructions. Agent-readable patch packs that another AI agent can directly consume and apply.
Re-verify
Re-run the same scenarios against your patched agent. Confirm fixes work, track score improvement, and close the security loop.
Security Intelligence Suite
Evidence-Based Findings
Every finding links to the exact attack prompt and agent response. Full transcript evidence, zero guesswork.
53-Scenario Assessment
Benchmarks across 6 threat categories with a 3-layer judge system — deterministic checks, policy validation, and LLM evaluation.
Agent-Readable Patch Packs
Structured fix packs consumable by both humans and AI agents. Priority-sorted by severity with specific action items.
Sandboxed Testing
Canary tokens, mock environments, and sandboxed sessions. Your agent is tested safely — no production impact.
Works With Any Agent
Telegram, Discord, WebChat — wherever your agent lives. One probe link, no agent modification, no API keys required.
Reproducible Results
80% deterministic testing — static prompts, rule-based evaluation. LLM judges only for the 20% that needs nuance.
How It Works
Three phases to a complete security assessment of your AI agent.
Create a Probe Link
Configure your target and generate a probe URL. Copy-paste it to your agent — no gateway setup, no API keys.
Auto-Loop Assessment
ClawShield orchestrates tests through an HTTP callback loop. Watch live progress in the IM-style console.
Report + Patch + Retest
Get findings, remediation packs, and patch instructions. Apply fixes and re-run to verify the improvement.
Individual Developers to Enterprise Teams
Whether you're securing a personal bot or managing hundreds of AI agents across your organization.
For Developers & Teams
Self-service- Quick Scan in under 5 minutes — start with 100 free credits
- Zero-setup probe link — works with Telegram, Discord, WebChat agents
- Human-readable reports with downloadable patch packs
- Pay-per-scan credit model — no subscriptions, no commitments
- Dashboard to track targets, runs, and score trends over time
For Enterprise
Managed deployment- On-premise deployment — run ClawShield inside your own VPC
- Custom benchmark suites tailored to your organization's policies
- Multi-provider LLM support — Gemini, GPT-4o, Claude as judge
- Admin panel for team management, credit allocation, and system monitoring
- CI/CD integration — run security assessments on every agent deployment
Your Infrastructure, Your Choice
Run ClawShield as a managed service on GCP Cloud Run, or deploy on-premise for full control over your security data.
Cloud Run (SaaS)
Fully managed on GCP. Zero infrastructure overhead — just sign up and start scanning.
- Auto-scaling containerized services
- GCP Secret Manager for credentials
- Vertex AI integration (no API keys)
- Firestore with env-separated collections
On-Premise
Deploy inside your VPC with Docker containers. Full control over data residency and network policies.
- Docker Compose or Kubernetes
- Air-gapped environment support
- Bring your own LLM provider
- Full data sovereignty compliance
6 Threat Categories. 53 Scenarios.
Comprehensive coverage of the most critical security risks for AI agents.
Prompt Injection
Instruction override, jailbreak, DAN attacks
Secrets Leakage
API keys, system prompts, PII exposure
Tool Misuse
Unauthorized actions, privilege escalation
Messaging Abuse
Spam generation, social engineering
Hallucination
Fabricated data, false claims
RAG/Memory Poisoning
Knowledge base manipulation, context injection