Mantis
Security platform for the agentic era
Purpose-built for the attack surface that traditional tools miss: AI agents, LLM integrations, MCP servers, and agentic pipelines. Static analysis, dynamic red-teaming, and AI-powered validation — in a single coherent pipeline.
The Problem with Traditional Security Tools
- Traditional scanners don't understand AI-specific attack surfaces
- Prompt injection, tool abuse, and agent privilege escalation go undetected
- Raw scanner output is 70%+ noise — teams ignore it or waste time triaging
- No single tool covers code-level vulnerabilities AND runtime agent behavior
- Compliance mapping (EU AI Act, OWASP LLM) requires manual effort per finding
How Mantis Works
Two layers of analysis, one unified verdict.
Static Analysis
56 scanners across 5 languages analyze your codebase. Injection vectors, credential exposure, dependency vulnerabilities, insecure configurations — the full traditional spectrum, plus AI-specific patterns.
AI Validation
A proprietary fine-tuned model reviews every finding. Heuristic filtering eliminates ~65% of false positives. AI validation eliminates another ~75% of what remains. What's left is real.
Dynamic Red-Teaming
47 attack playbooks, 208 variants — executed against your running system. Prompt injection, tool abuse, authorization bypass, data exfiltration. Proof of exploitation, not theoretical risk.
Unified Report
Validated findings with exploitation proof, compliance mapping across 10+ frameworks, defense profile scoring, and a prioritized remediation roadmap. One document, audit-ready.
AI-Specific Security Coverage
Where others stop, Mantis starts.
Prompt Injection
Direct, indirect, multi-turn, and tool-response injection attacks
Agent Behavior
Privilege escalation paths, uncontrolled tool access, missing guardrails
MCP Server Security
Unauthenticated tool surfaces, data exfiltration through tool chains
Multi-Agent Chains
Delegation abuse, context poisoning, cross-agent escalation
RAG Pipeline Security
Context extraction, cross-user data leakage, retrieval poisoning
Compliance Testing
PII leakage detection, GDPR violation probing, bias detection
Compliance Mapping — Automatic, Every Scan
Every finding mapped to relevant frameworks. No manual effort.
EU AI Act
Per-finding mapping to Articles 9, 12, 13, 14, 15 — risk management, transparency, human oversight, robustness
OWASP Top 10 for LLM
Each finding mapped to LLM01–LLM10 risk categories (2025 edition)
NIST AI RMF
MAP, MEASURE, MANAGE, GOVERN control references per finding
Enterprise Standards
ISO 27001:2022, NIST CSF 2.0, SOC 2, PCI-DSS v4.0, CIS Controls, MITRE ATLAS
Why Mantis
Not three tools glued together
Static + dynamic + AI validation operating as a single coherent pipeline. Findings from code analysis corroborate runtime exploits. One report, one verdict.
Signal, not noise
Raw scanners produce hundreds of findings. Mantis validates each one. What survives the pipeline is actionable — confirmed vulnerabilities with exploitation context.
Built for the EU AI Act era
August 2026 enforcement deadline for high-risk AI systems. Mantis generates the documentation regulators expect — automatically, with every scan.
AI that secures AI
A fine-tuned validation model that understands AI-specific attack surfaces. Not a wrapper around generic SAST. Purpose-built for the threat landscape of 2026.
See what Mantis finds in your system
Full static analysis + dynamic red-team engagement against your AI system. Validated findings, exploitation proof, compliance mapping, and a remediation roadmap.
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