AI based remediation workflows

Security teams are overwhelmed by the volume of vulnerabilities. AI based remediation automates the process, allowing teams to focus on strategic work.

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Challenges

As development speed increases, remediation efforts can’t keep pace.

Manual remediation efforts and lack of context cause time consuming processes that ultimately result in vulnerabilities being stuck in the backlog waiting to be fixed.

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Remediation backlogs

As AI accelerates code generation, the sheer volume of new code is growing exponentially, creating an explosion in security findings and a massive remediation backlog.

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Lack of context

Developers often lack context needed to fix vulnerabilities effectively, particularly with complex SAST findings or transitive open-source dependencies. This leads to slow, inefficient fixes and increased mean time to remediation (MTTR).

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Time-consuming workflows

The manual process of identifying, prioritizing, and fixing flaws in both custom code and open-source libraries is a major drain on time and resources, diverting attention from proactive security measures.

Opportunities

Leverage AI for autonomous remediation.

AI based remediation helps organizations keep pace by quickly fixing vulnerabilities and reducing the time and resources needed for manual intervention.

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Automated SAST remediation

Reduce remediation time from hours to minutes. AI can analyze SAST findings, understand the application’s code and context, and generate precise, developer-ready code fixes.

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Streamlined SCA remediation

Minimize the risk of breaking changes. For open-source vulnerabilities, AI can identify the correct version update or patch to remediate a flaw. It can also analyze the dependency graph to recommend the most efficient fix.

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Increased efficiency and focus

Receive clear, actionable fixes directly in developer’s workflow, and free up time for security professionals to focus on high-impact tasks like threat modeling and architecture reviews, by automating the most labor-intensive parts of the remediation workflow with AI.

The solution

Mend AI

Built to secure your AI powered applications with full visibility, behavioral testing, and governance designed for reduced AI risk.

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AI component discovery

Detect all AI components in your apps and maintain a real-time and accurate AI-BOM.

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AI red teaming

Stress-test your AI systems and get clear remediation guidance for every finding.

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System prompt hardening

Prevent prompt injection and misuse.

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Policy enforcement and compliance

Apply and enforce rules for licensing, model usage, and compliance.

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Holistic view across your codebase

A single place to monitor and manage AI risk.

MTTR

“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.”

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Andrei Ungureanu, Security Architect
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Fast, secure, compliant

“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.”

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Chris Wallace, Senior Security Architect
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Immediate insights

“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.”

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Markus Leutner, DevOps Engineer for Cloud Solutions
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