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Security Β· Oversight Β· Control for AIZero trust, applied to AIResearch-backed at University College DublinEU AI Act ready

Trust the AI you've put in front of your customers and your data.

SonnyLabs is the security and oversight layer for every AI agent, chatbot and assistant in your business.

We attack your AI before you launch it.

We watch what it’s doing in production.

We stop the things it shouldn’t do.

We give you the proof when your CISO, your auditor or your board asks.

Attack
Before launch
Watch
In production
Stop
In real time
Prove
On demand
What SonnyLabs does
Live
Coming in
Customers, users, documents, emails
SonnyLabs
What you've built
Your AI agents, chatbots, assistants
Clean traffic passes through
Your users don't notice anything.
Manipulation attempts are stopped
Hidden instructions, data manipulations, rogue agent actions.
Every event is logged for you
Searchable. Exportable. Ready for an audit.

Our Solutions are Trusted by:

JP Morgan
KPMG
Sremium Group
Accenture
Microsoft
Ireland Department of Justice, Home Affairs and Migration
allskills.ie
ardessa.com
JP Morgan
KPMG
Sremium Group
Accenture
Microsoft
Ireland Department of Justice, Home Affairs and Migration
allskills.ie
ardessa.com
What can go wrong

Your AI is a brand new employee with no manager. You wouldn't run your business that way.

AI agents talk to your customers, touch your systems, send your emails and take actions on your behalf. When they go wrong, the company name on the front page is yours. These are the four things that go wrong most often.

Manipulation

A customer tricks your chatbot into giving away another customer’s data

Attackers hide instructions in messages, files, even emails. The chatbot follows them. The next thing you hear about it is from your regulator.

Data leakage

An employee pastes confidential data into an AI tool, and it leaks

It already happened at Samsung. Source code into ChatGPT, used in training, surfaced later. Your data leaves the building and you don’t know it has.

Dangerous actions

An AI agent decides to delete part of your production database

This is not a hypothetical. In 2025 an AI coding assistant deleted a third of a production database. The chat after, in every boardroom, was about who is liable.

No visibility

Your security team has no idea what your AI is actually doing

No logs. No dashboard. No way to investigate. When something does go wrong, there is nothing to look at. That is the situation most teams are in today.

Costly
A single data breach can run into the millions in direct and recovery costs.
Rising
Analysts expect a large share of AI projects to stall over security and governance risk.
Regulated
EU AI Act penalties are among the steepest in tech regulation, set as a share of global revenue.
What SonnyLabs does

One platform

We do not offer a "firewall for AI" and leave you to figure out the rest. We cover the full lifecycle.

1. Test (before launch)

Attack your AI before a real attacker does

Our red team simulates real-world attacks against your AI before it goes live. Manipulation. Data extraction. Role hijacking. Agent abuse. You see exactly where it breaks, so you can fix it before customers find out.

Red team summary, illustrativePre-launch
Hidden instructions in customer messagesSome broke
Personal data extractionSome broke
Role hijack ("pretend you are admin")A few broke
Standard support conversationNone broke
  • βœ“ A clear report you can share with engineers and leadership
  • βœ“ Repeat the test after every release to catch regressions
  • βœ“ Independent from runtime protection
2. See (in production)

See everything your AI is doing

Every conversation. Every request. Every action your AI tried to take. On one screen. Searchable. Exportable. Always on.

Activity, last hour (illustrative)blocked flagged
  • βœ“ A live dashboard your CISO can look at on a Monday morning
  • βœ“ Every event timestamped, attributable, replayable
  • βœ“ Plugs into the security tools you already use
3. Stop (in real time)

Stop the things you don't want to happen

Manipulation attempts on the way in. Dangerous actions on the way out. Both blocked before they reach your customers or your systems.

BlockedHidden instruction in a customer email
BlockedAI tried to delete production records
FlaggedCustomer credit card about to leave the model
BlockedAttempt to read sensitive system files
  • βœ“ Manipulation, jailbreaks and hidden instructions
  • βœ“ Dangerous tool calls and risky actions
  • βœ“ Confidential data and PII leaving the model
4. Prove (to anyone)

Prove it to anyone who asks

Your auditor. Your board. The buyer's security team. The EU AI Act. The vendor questionnaire you've been dragging your feet on.

EU AI Act Article 15 evidenceReady
SOC 2 control mappingReady
Vendor questionnaire (NIST AI RMF)Auto-fill
Audit log exportExportable
  • An evidence pack on demand, not a consultancy bill
  • Vendor security questionnaires answered faster
  • Show your board you can govern AI like everything else
What SonnyLabs offers

Six products covering the full AI security lifecycle

From pre-deployment testing to runtime protection, staff training and compliance. Pick the ones that match where you are, or take the full set.

βš”οΈ

AI Pentest

Pre-Deployment Testing

We attack your AI agent the way a malicious user would. You get a prioritised report of what we found, what it means, and how to fix it.

Mode

Once-off report

Learn More
πŸ’¬

AI Chat Security

Stop Staff Pasting Sensitive Data Into ChatGPT

A browser add-on that checks each message the moment before it is sent. Sensitive content is flagged or blocked. Redacted versions offered so employees still get their answer.

Mode

Flag or Block

Learn More
🎯

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. Each session ends with three or four rules people can actually remember.

Mode

Live + Recorded

Learn More
πŸ“œ

EU AI Act Advisory

Compliance Roadmap For High-Risk AI

Confirm the risk classification of your system, map what the Act requires, and get a practical roadmap to meet it. Tooling to track and evidence progress through to the deadline.

Mode

Assessment + Roadmap

Learn More
πŸ›‘οΈ

AI Agent Runtime Security

Continuous Runtime Protection

A security layer that sits on top of your agent like a firewall. Inspects what goes in and what comes out: prompt injection, hidden instructions, manipulation attempts, and PII under GDPR.

Mode

Audit or Block

Learn More
πŸ”’

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, detecting manipulation and sensitive access attempts.

Mode

Audit or Block

Learn More
⚑

Millisecond Latency

πŸ‘¨β€πŸ’»

Developer Friendly

πŸš€

5-Min Integration

βœ…

EU AI Act Ready

🌐

Flexible Deployment

How it works

A safety check between your customers and your AI. And between your AI and your systems.

Think of SonnyLabs as airport security for your AI. It checks what is going in. It checks what is coming out. It keeps a record. It is invisible to the people who should be there, and stops the people who should not.

1

Something arrives at your AI

A customer message. A document the AI is asked to read. An email forwarded to the assistant.

2

SonnyLabs checks it in milliseconds

Is it a manipulation attempt? Is there a hidden instruction in there? Is sensitive data leaving? The decision is made in the blink of an eye.

3

The right thing happens, with a human in the loop when it matters

Clean traffic flows through. Dangerous traffic is stopped. Ambiguous, high-stakes cases are escalated to a human. Every decision is logged.

Allowed
Blocked
Review
Logged
From a real customer conversation

β€œMy biggest problem is working out what guardrails I can put in place, and how I can get any kind of visibility about what is going in and what is coming out. The accidental side scares me more than the malicious one.”

Head of IT Security, university
What this means for you

You can finally answer the question every board is asking: what is our AI doing right now, and can we stop it if we need to. Yes, and yes.

The principle behind it

Zero trust, applied to AI.

The same idea your network team already uses on every connection. Never trust by default. Always verify. Log everything. We extend zero trust to the AI layer. Treat the prompt as untrusted. Treat the AI as untrusted. Treat the next action as untrusted. Verify each one before it can do harm.

A framework your CISO already buys for. Now extended to the part of the stack that did not have it.

Never trust the prompt

Anything an AI is being asked to do is verified before the model sees it. Customer messages, emails, documents, scraped web pages. All treated as untrusted by default.

Never trust the AI

The model itself is treated as an untrusted actor. Its outputs are checked. Its tool calls are checked. Just because the AI wants to do something does not mean it is safe to let it.

Verify every action

Each action the AI tries to take is evaluated against your policy. Allowed, blocked, or escalated to a human. No implicit permission to act on your systems.

Log everything

Every decision recorded. Every event attributable. Continuous verification, not a one-off check at the door.

What we protect

Every AI you've put in front of a customer. Or behind your firewall. Or anywhere in between.

Customer chatbots

The support bot on your homepage. The conversational AI in your app. The first thing a hacker tries to break.

AI agents that take actions

Agents that send emails, run reports, write to databases, move money, schedule meetings. The ones that can do real damage if they go wrong.

Internal AI copilots

The HR assistant. The sales copilot. The finance bot. Anywhere employees ask AI questions that touch sensitive data.

AI tools connected to your systems

When AI plugs into your CRM, your database, your inbox or your file server, we make sure it only does what it should.

Model coverage

We cover every AI model. All of them.

OpenAI, Anthropic, Google, Meta, Mistral, xAI β€” whatever model your agent or chatbot runs on, SonnyLabs protects it. Model-agnostic by design.

Use SonnyLabs with any LLM

Anthropic Claude
Google Gemini
OpenAI
DeepMind
Grok AI
Meta Llama
Anthropic Claude
Google Gemini
OpenAI
DeepMind
Grok AI
Meta Llama
Integrations

Integrates with your SIEM.

Every event streams straight into the security tools your team already uses.

In their own words

We didn't write this. The people we've spoken to did.

Verbatim quotes from real conversations with security leaders, AI builders and operating teams across healthcare, manufacturing, finance, education and the public sector.

β€œMy biggest problem is working out what guardrails I can put in place, and how I can get any kind of visibility about what is going in and what is coming out. The accidental side scares me more than the malicious one.”
Head of IT Security
University
β€œThe indirect stuff really got me. If we plug into a database and there is something malicious done on that side, it’s a back-door effect we hadn’t thought about.”
CEO
Manufacturing AI company
β€œI was really worried about the security risk of using AI in schools. With SonnyLabs the integration was extremely fast, took 5 minutes, and now I’m reassured my AI is safe and secure.”
Gavin Doyle
Founder, Examinaite.ie
Two ways to take the next step

Pick whichever one fits how you make decisions.

A short demo for the people who want to see it work. A free trial for the people who want to try it themselves.

Interested in Partnership Opportunities?

We're open to exploring collaborations with organizations looking to advance AI security and compliance.

Learn More About Partnerships

FAQs

Frequently Asked Questions

Everything you need to know about SonnyLabs

Yes to all. The integration is via our API/SDK or open source MCP.

It takes 5 mins to integrate with our API.

You can call the API directly or you can self-host it.

It depends on your usecase and what you're optimising for. If you're optimising for speed, the detection is real-time and takes under 50 milliseconds. If you're optimising for accuracy, it depends on the length of the text that you are scanning- for example, scanning an entire 80,000 word book takes on average 1 minute.

Still have questions?

Get in Touch

Ready to Secure Your AI Applications?

Get in touch with our team to learn how SonnyLabs can help protect your AI systems

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