SonnyLabs AI Security Suite
Six products covering the full AI security lifecycle — from pre-deployment testing to runtime protection, staff training and compliance.
AI Pentest
Pre-Deployment Security Testing
We attack your AI agent the way a malicious user or a manipulated document would: attempting to extract personal data, bypass its guardrails, and manipulate the actions and documents it produces. You get a prioritised report of what we found, what it means, and how to fix it.
- →Tested against the OWASP Top 10 for LLM applications
- →Prompt injection, data disclosure, hidden instructions, guardrail bypass
- →A report you can show clients, insurers and auditors
AI Chat Security
Stop Staff Pasting Sensitive Data Into ChatGPT
A browser add-on your IT team installs once across every employee’s Chrome or Edge browser. It sits quietly inside ChatGPT, Claude and other public chatbots and checks each message the moment before it is sent. Nothing for staff to learn, remember or switch on.
- →Sensitive content flagged or blocked before it reaches the chatbot
- →Redacted versions offered so employees still get their answer
- →Catches manipulation attempts hidden in text copied from emails and documents
AI Security Awareness
Phishing Training, But For AI
Short, practical sessions for your staff on how AI tools get people into trouble and how to avoid it: what not to paste into a chatbot, how to spot when an AI answer has been manipulated, why a document or email can carry hidden instructions, and what to do when something looks wrong.
- →Kick-off session for all staff, shorter session for managers, quarterly refreshers
- →Each session ends with three or four rules people can actually remember
- →Evidence of a trained workforce for GDPR accountability and the EU AI Act
EU AI Act Advisory
Compliance Roadmap For High-Risk AI
Confirm the risk classification of your system, map what the Act requires of a high-risk AI system, and get a practical roadmap to meet them. Includes the security requirements in particular, with tooling to track and evidence progress through to the deadline.
- →Clarity on exactly what applies to your system and what does not
- →A plan spread over the time you have, not a scramble before the deadline
- →Requirements built into the agent as you develop it
AI Agent Runtime Security
Continuous Production Runtime Protection
A security layer that sits on top of your agent like a firewall. It inspects what goes in and what comes out: prompt injection, hidden instructions in uploaded files and emails, attempts to manipulate the agent, and personal data (PII) as defined under GDPR.
- →Starts in audit mode, then choose: block, redact, or send for human review
- →Client personal data blocked or redacted before it reaches the AI model
- →Logging and human oversight evidence generated as a by-product
MCP Security
Runtime Protection For Model Context
A protective layer that governs the context and tool interactions your AI systems rely on at runtime. Monitors requests and responses across the model context layer, detecting manipulation, context interference and sensitive access attempts as they happen.
- →Audit mode (detect & log) or Block mode (detect & prevent)
- →Real-time monitoring across context and tool-call activity
- →Designed to integrate with your existing runtime with minimal latency
Why Choose SonnyLabs
Millisecond Latency
No impact on user experience
Developer Friendly
Simple integration, clear docs
5-Minute Integration
Python & JavaScript SDKs
EU AI Act Ready
Article 15 compliance
Flexible Deployment
API or self-hosted
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