Services · NEXT-GEN AUDIT
AI Agent & Multi-Agent Security Review
Security assessment of autonomous agents, LLM applications, orchestration frameworks, tool integrations and agentic workflows. We test what happens when an attacker controls the content your agents read, the tools they call and the state they carry between steps.
From USD 7,500 USD · scoped per system
Technical scope
What we test.
For AI engineering leads, CTOs and security teams shipping agents that read untrusted content, call tools or act on business systems.
Orchestration Logic Auditing
LangGraph, CrewAI and comparable orchestration architectures, tested for:
- State manipulation across graph nodes and agent hand-offs
- Indirect prompt injection through documents, web content, email and tool output
- Unsafe tool routing and confused-deputy conditions
- Privilege-boundary failures between agents, users and tenants
- Human-in-the-Loop bypass conditions
- Malicious workflow manipulation
Tool Boundary & Agency Hardening
Python callables, external APIs, webhooks, plugins and tool execution boundaries. We evaluate:
- Pydantic validation and strict schemas
- Allowlists and AST-based validation
- Subprocess isolation and command execution boundaries
- Unsafe deserialization controls
- Downstream command injection
- Unsafe YAML/JSON processing
Model Context Protocol Security
MCP servers, clients and hosts, assessed for:
- Authorization boundaries and tool/resource authorization
- Session security and credential binding
- Transport security
- Context exposure across sessions and tenants
- Unauthorized resource access
- Execution sandboxing
Methodology
Autonomous reconnaissance. Human exploitation. Human validation.
AI-assisted reconnaissance maps the attack surface. Security engineers build the attack paths, exploit them and validate every finding before it reaches your report.
Deliverables
- Attack-chain evidence
- Trust-boundary analysis
- Exploit reproduction
- Framework mapping: MITRE ATLAS and OWASP Top 10 for LLM Applications
- Prioritized remediation
- Retest validation
No test starts without a contract, a defined scope and written authorization. Customer data, code, configurations and credentials are not submitted to public third-party commercial LLM services as part of the assessment workflow.
Scope your AI Agent & Multi-Agent Security engagement.
Tell us about the system, its architecture and your deadline. We reply with a proposed scope and a fixed price, usually within one business day.