Adversarial testing for AI. Reachability for code. Resolution for both.
We don’t just tell you what’s vulnerable—we show you what’s exploitable and deliver the fix.
The attack surface has changed. Most security tools haven’t.
AI components, open source dependencies, and production agents have introduced risk that traditional developer security tools weren’t built to find, test, or govern.
Supply Chain Blind Spots
Supply Chain Blind Spots
Modern codebases contain thousands of open source packages, AI models, and agents — many added without security review. You can’t prioritize risk you haven’t inventoried.
Full-Stack Software and AI Visibility
80%
reduction in time spent3x
more risks resolvedSurface every component in your codebase — packages, AI models, agents, system prompts — including shadow dependencies standard tooling misses. Continuously updated SBOM/AI-BOM, ready for security and compliance teams.
Dynamic AI Risks
Dynamic AI Risks
AI agents are non-deterministic. A prompt change, model update, or new input path can introduce vulnerabilities that didn’t exist in the last AI security scan — and no static tool will catch them.
Continuous AI Behavioral Testing
1,000+
concurrent testsAutomated attack simulations run against every build before it ships — injection, data leakage, and AI-specific vectors included. Security validation that keeps pace with your release cycle.
No Runtime Defense
No Runtime Defense
Static analysis and pre-deployment security scans don’t stop runtime exploitation. Injection attacks and behavioral abuse happen in production — after every test has already run.
Runtime In-Application Protection
80%
reduction in MTTRBehavioral controls between users and applications in production — monitoring live interactions, enforcing policy, and blocking unsafe behavior as it occurs. Active and continuous, with no dependency on patch cycles.
Compliance Pressure
Compliance Pressure
The EU AI Act, Executive Order 14028, and the Cyber Resilience Act require verifiable technical evidence that your software and AI systems have been inventoried, tested, and secured. Most teams don’t have it.
A Single Evidence Layer for Compliance
15
minutes for an open source audit that previously took a weekInventory, findings, test results, and remediation status in one governed workflow — giving security and compliance teams the structured, auditable record regulators require, without manual assembly across disconnected tools.
Built for every risk, across AI and AppSec
Our security platform secures AI from the inside out—extending proven AppSec workflows to the models, prompts, and agents running inside your applications.
- SBOM
- AI-BOM
- CRA attestation
- NIST attestation
PRIORITIZE
REMEDIATE
MONITOR
PRIORITIZE
REMEDIATE
MONITOR
See what our users think about Mend.io
Everything you need to secure what you ship
Built for every team
AI security, application security, and dependency management — less tool sprawl, more risk reduction.
Mend AI
Trusted by security teams all over the world
If we look at the number of PRs created by Mend SCA that were merged and compare that to the cost of developers doing that manually, then we have saved considerable developer time.
Chris Madden
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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.
Andrei Ungureanu
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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.
Chris Wallace
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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.
Markus Leutner
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Join the teams reducing remediation effort by 75%.