Earn Confidence in Your AI Agent's Security
We test your agent for reputational and technical security risk with custom adversarial methods built around your business.
Can your agent be used against you?
Technical security risk
Can your agent can be steered into exfiltrating data, call tools against another user's records, execute injected code, or approve an action it should never take?
Reputational risk
Can your agent can be pushed into inventing commitments, stating false claims a customer acts on, or producing biased and off-brand content?
We test for both and help you improve your guardrails.
AI Guardrails Assessment
Testing AI agents for security and reputational risk
Our Edge:
Practitioner-built
Led by testers with 1,000+ penetration tests and OWASP project contributions.
Full surface
Model, data, tools, identity, memory, and multi-agent flows tested as one system.
Production-focused
Findings framed around the two questions leadership asks: what an attacker can force, and what the agent can do to your brand.
Findings You Can Act On
You receive one report built for both leadership and engineering. Executive summary in business terms, a technical report with reproduction steps and severity for every confirmed finding, and prioritized remediation. Retesting confirms the fixes hold.
Mapped and scored
Every finding tied to the OWASP LLM and Agentic Top 10 with severity, ready for engineering and risk teams.
What We Test
We build bespoke payloads for each target, drawn from the techniques seen in real agent attacks and active red-team research. The agent's tools, data sources, permissions, and business logic decide the attacks. Every category maps to the OWASP Top 10 for LLM Applications (2025) and the OWASP Top 10 for Agentic Applications (2026).
| Surface | What we attempt | OWASP |
|---|---|---|
| Prompt boundary | Jailbreaks, persona breaks, system prompt extraction, guardrail evasion through encoding and obfuscation | LLM01, LLM07 |
| Indirect injection | Hidden instructions in documents, RAG content, email, calendar, and tickets; zero-click triggers | ASI01, ASI06 |
| Tool and function-call abuse | Over-privileged tools, argument injection, internal-to-external chaining, exfiltration through approved tools | ASI02 |
| Identity and authorization | Cross-user and cross-tenant data access, delegation abuse, authorization drift | ASI03 |
| Output handling and code execution | Injection through unhandled output, generated-code execution, exfiltration through rendered content | LLM05, ASI05 |
| Brand and safety | Fabricated commitments, toxic or biased output, false claims, scope and persona breaks | LLM09 |
| Memory and context | Cross-session poisoning and long-term drift | ASI06 |
| Multi-agent | Forged inter-agent messages, agent spoofing, cascading failure | ASI07, ASI08, ASI10 |
| Supply chain | Tool descriptor and MCP poisoning, typosquatting | ASI04 |
| Availability | Loop and cost amplification | LLM10 |
Trusted by teams leveraging the latest tech
Our assessment methodology has guided:
Teams shipping customer-facing assistants, internal copilots with tool and data access, and autonomous agents in production.
Financial services, SaaS, healthcare, and any organization where the agent can act on real systems or speak for the brand.
Secure Your AI Agent Today!
Get in touch today for a free quote and take the first step toward elevated security for your AI agent —>