AI red teaming
Simulate attacks. Strengthen defense.
Automate 1,000s+ of red teaming tests, find exploits, trace to root cause, and harden your system prompts before real attackers ever touch them.
Challenges
Conversational AI risks are built differently
When your AI listens to human inputs, reads documents, or acts on natural language, every interaction becomes a potential exploit. Adversarial prompts, prompt injection, and malicious payloads aren’t hypothetical. They’re already happening.
Vulnerabilities in plain text
Risks aren’t just in code—they stem from how AI interacts with users, data, and language. Prompts, inputs, or hidden data can be manipulated, where one crafted phrase triggers unintended actions.
AI widens the playing field for hackers
AI in production wields real power—risks span code, data, APIs, and conversation history. With evolving tools and shifting threats, red teaming must be continuous, not one-off.
Coverage gaps are open doors
Traditional AppSec can’t secure conversational AI—tools can’t parse prompts, track memory, or see language-driven risks. AI evolves too fast for manual tests; real security requires modeling threats in context.
Opportunities
Attack at scale for continuous security coverage
Put your AI through the same kinds of attacks real adversaries would try — see how your models hold up before attackers ever get the chance.
Launch 1,000s+ of prebuilt & custom tests
No waiting for a manual assessment — start testing in less than 5 minutes. Run simulated adversarial attacks across prompt injection, hallucination, and data exfiltration before real attackers hit.
Expose AI behavioral risks
Surface data leakage, unsafe outputs, misuse, and more in minutes with simple API or platform integrations — no heavy setup required.
Harden and prove security
Strengthen your system prompts, apply the right security controls, and close off the exact attack paths discovered in testing. Each run makes your AI more resilient, easier to trust, and safer to ship.
Check your AI security posture
Measure your AI security program against industry frameworks including OWASP, NIST, ISO/IEC, and the EU AI Act. Identify gaps, prioritize improvements, and generate actionable recommendations.
The solution
Mend AI
Mend AI tests against threats like prompt injection, context leakage, and data exfiltration to uncover AI behavioral risks unique to your application.
Discover Mend AI
“The biggest value we get out of Mend is the fast feedback loop, which enables our developers to respond rapidly to any vulnerability or license issues. When a vulnerability or a license is disregarded or blocked, and there is a policy violation, they get the feedback directly.”
“One of our most indicative KPIs is the amount of time for us to remediate vulnerabilities and also the amount of time developers spend fixing vulnerabilities in our code base, which has reduced significantly. We’re talking about at least 80% reduction in time.”
“When the product you sell is an application you develop, your teams need to be fast, secure and compliant. These three factors often work in opposite directions. Mend provides the opportunity to align these often competing factors, providing Vonage with an advantage in a very competitive marketplace.”
Protect your conversational AI
Expose hidden risks like prompt injection, data leakage, and unsafe outputs with automated AI red teaming tests that simulate real world attacks.
FAQs
How does Mend AI automate red teaming?
Mend AI runs thousands of prebuilt and custom adversarial tests against your conversational AI on every build, probing for prompt injection, context leakage, and data exfiltration, then traces exploits to root cause.
What risks do Mend AI’s red teaming tests uncover?
Prompt injection, context leakage, data exfiltration, jailbreaks, hallucinations, bias, and unsafe outputs: behavioral risks unique to your application that static analysis cannot detect.
How long does it take to start red teaming with Mend AI?
Less than five minutes. Connect via simple API or platform integrations; no heavy setup, no waiting for a manual assessment.
Can Mend AI run red teaming continuously instead of as a one-off assessment?
Yes. Tests can be run against every build, so a prompt change, model update, or new input path is validated before it ships, keeping security testing paced with your release cycle.
New to the practice? Start with why AI red teaming matters for enterprise security.
Does Mend AI’s red teaming support compliance requirements?
Yes. Results map to OWASP, NIST, ISO/IEC, and the EU AI Act, giving you regulator-ready evidence that your AI systems have been tested.
What happens after a Mend AI test finds an exploit?
Mend AI shows the attack prompts, application responses, explanations, and technical reasons behind failed tests, helping teams understand how the application was successfully manipulated. Mend AI traces it to root cause and delivers actionable remediation guidance, including hardened system prompts that close the exact attack paths discovered.
