AI MODEL SECURITY TESTING
Sleep Easy Knowing Your AI Isn’t Going Rogue
Because it only takes one bad AI response to lose customer trust for good
Talk to an AI Security Expert
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Because it only takes one bad AI response to lose customer trust for good
Talk to an AI Security Expert
Can you see all the AI trouble?
AI brings new risks that your usual security tools can’t spot. You don’t know what’s lurking until it’s too late.
Hackers are lining up to exploit your AI
Attackers are always looking for ways to trick your models into leaking secrets or making bad calls.
Old security tricks won’t save you now
Most security setups weren’t built for AI, so you can’t trust them to catch every threat.
Regulators want proof, not promises
The board and regulators are asking tough questions about your AI. Hope isn’t enough, you need real answers.
One AI slip-up and you’re in the headlines
A single mistake can mean lost trust, public embarrassment, and a lot of explaining to do.
Spot hidden risks in models, APIs, and data pipelines—no more blind spots.
Uncover ways attackers could trick AI, steal secrets, or make it act up.
Get a clear map of exposure, from the model to the cloud and app layers.
Face the same attacks hackers use: prompt injection, model theft, data poisoning, and privacy grabs.
See if AI can be fooled into leaking private info, making bad calls, or letting outsiders in.
Know exactly how AI holds up under pressure, with nothing sugarcoated.
Get a step-by-step report: what’s at risk, how serious it is, and what to do next.
Tackle every finding with practical fixes. We hate vague advice as much as you do.
Show the board and regulators you’re on top of every issue, mapped to industry standards like OWASP LLM Top-10, MITRE, and NIST AI RMF.
Show real proof that AI has been tested the right way.
Answer tough questions from the board, regulators, and customers with confidence.
Move from hoping AI is safe to knowing it is.
Walk away with a real-world test, a clear action plan, and the confidence to use AI without worry.
Most security tests just scratch the surface, but this one is built for leaders who want real answers and real control. Get a process that’s designed for your business, your models, and your data.
Every step is about giving you the clarity and confidence to make smart decisions.
You get business-focused answers you can use right away, with every finding mapped to industry standards for easy reporting to the board and regulators. And support doesn’t end with the report. Get help making sense of results, retesting after fixes, and building security into your workflow.
Let’s put you in the driver’s seat and make your AI work for you and never against you.
Get a full inventory of every AI model, API, and data pipeline. See exactly where sensitive data flows and where things could go wrong.
Test your AI with the same tricks hackers use: prompt injection, model theft, and more. Find out how your defenses hold up under real pressure.
Check if your guardrails and controls actually work in practice. Make sure your AI isn’t leaking secrets or making bad calls.
Walk away with a simple action plan: what’s at risk, how serious it is, and what to fix first. Every finding is mapped to industry standards.
Get a crystal-clear breakdown of every vulnerability, exposure, and risk hiding in your AI models, APIs, and data pipelines.
Receive a prioritized and step-by-step roadmap for fixing every finding. We tell you what to tackle first, why it matters, and exactly how to get it done.
Arm yourself with a concise and board-ready summary that translates technical risks into business impact. Show your leadership team and regulators you’re on top of them.
Once you’ve closed the gaps, we circle back to verify your fixes. Get peace of mind knowing your AI is truly secure.
Walk away with documentation mapped to the frameworks and regulations you care about: GDPR, NIST, ISO 42001, and more. Be ready for audits, reviews, and those tough compliance conversations.
We don’t just drop a report and run. Join us for an interactive session where we break down the results, answer your team’s questions, and share best practices so you can keep winning at AI security.
...achieve stronger security without slowing down our development cycle.
The team at we45 excels in automating security checks and providing instant developer feedback has brought newfound agility and security to our development pipeline. Now, we can confidently deliver secure, high-quality software to our customers.
Not only was we45 able to set up security automation pipelines in the cloud, secure our APIs, and help us monitor our environments, they were able to do so with minimal disruption to our workflow. I can't recommend them enough.
No, professional AI security testing is designed to minimize disruption. Most assessments are conducted in controlled environments or during scheduled windows. Testers coordinate with your team to avoid interfering with production systems and ensure business continuity. Any live testing is carefully planned to avoid service interruptions.
The timeline depends on the complexity and number of models, APIs, and data pipelines involved. A typical engagement ranges from one to four weeks. This includes initial scoping, testing, reporting, and follow-up sessions to review findings and remediation steps.
Yes. Security and privacy of your data are top priorities. Testing teams follow strict protocols, including data minimization, anonymization, and secure handling. No sensitive data is extracted or exposed beyond what is necessary for the assessment. All activities are documented and compliant with relevant regulations (e.g., GDPR, HIPAA).
You’ll typically need to provide:
An inventory of AI models, APIs, and data pipelines in scope
Access to relevant documentation and architecture diagrams
Test accounts or sandbox environments
A point of contact for coordination
The process is collaborative, and your team’s involvement is kept as light as possible.
Testing identifies vulnerabilities unique to AI, such as:
Prompt injection and adversarial input attacks
Model extraction and intellectual property theft
Data poisoning and privacy violations
Insecure APIs and plugin interfaces
Regulatory compliance gaps
These risks are often missed by traditional security tools and require specialized expertise to detect.
Yes. The assessment maps findings to industry standards (e.g., OWASP, NIST, MITRE) and regulatory frameworks (e.g., GDPR, ISO 42001, EU AI Act). You’ll receive documentation and evidence to support compliance efforts and board-level reporting.
You’ll get:
A comprehensive risk report with prioritized findings
A clear, actionable remediation plan
Executive and technical summaries
Support for follow-up questions and retesting after fixes
All findings are mapped to industry standards for easy reporting.
It’s recommended to test:
Before deploying new models or major updates
After significant changes to data pipelines or integrations
At least annually, or more frequently for high-risk or regulated environments
Continuous monitoring and periodic retesting are best practices for ongoing security.
Yes. Security testing can be performed on both proprietary and third-party models, as well as SaaS-based AI solutions. The approach is tailored to your environment and risk profile.
Absolutely. The service includes detailed remediation guidance and support. Many providers offer follow-up sessions, retesting, and ongoing advisory to ensure vulnerabilities are addressed and your AI systems remain secure.
