Resolve Security Issues Faster with AI Remediation

Remediation is a core outcome of software security programs, but the processes for remediation can often cause friction. One fundamental reason for this is that those responsible for fixing Findings (developers) and those responsible for discovering and prioritizing Findings (security teams) are different teams. The security expertise required to determine remediation actions for any given Finding lies with the security team, while developers are those that are in position to implement any such actions and determine what’s feasible to do. 

If the sharing of that expertise between security and development teams is unclear or lacking, it can be confusing for developers to figure out what remediation actions they should take when they receive a ticket. Developers often spend valuable time searching the internet on what to do to fix or mitigate a new vulnerability, leading to confusion and wasted cycles.

Today, security teams are responsible for providing remediation guidance to developers. Source tools have some context to start with, and security teams often review and add their own details. However, not everyone is a security expert across all areas. Remediation guidance often ends up overly complex, missing details, or limited to one remediation action. Developers are on the hook to fill any gaps that arise. Fortunately, AI has the potential to eliminate this friction, helping security and development teams respond quicker and decrease MTTR.
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Introducing AI Remediation: consistent remediation guidance for all

As part of its AI-powered ASPM Platform, ArmorCode is introducing a major AI pillar designed to tackle friction with remediation processes: AI Remediation. 

Improving remediation times and efficiency is something many organizations are focused on. With the introduction of AI Remediation, ArmorCode is helping security and development teams work in lock step to improve remediation outcomes. AI Remediation leverages a specially-trained GenAI to automatically generate potential remediation actions for any known Finding at the click of a button.

Determining the right course of action to remediate a Finding isn’t always straightforward. Not every Finding can be handled the same way – some things are fixed, some are mitigated or controlled, and so on. The remediation guidance provided to practitioners by source tools or security teams often requires interpretation, and additional work by developers. ArmorCode’s AI Remediation is built to solve this problem by bringing security expertise into the hands of developers. 

Thanks to its ability to generate a wide range of potential remediation actions for any known Finding, AI Remediation enables development teams to fix Findings much faster and more efficiently, and helps security teams better scale with the pace and needs of developers. 
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Reduce MTTR to get the job done quicker

AI Remediation provides developers multiple potential actions for remediation and advice on training or skills needed to take action. The LLM puts together information on any known Finding, focused on actionable steps developers can take, so they have everything they need to remediate a Finding and can cut out time wasted on searching the internet for what to do. This reduces frustration, improves alignment, and speeds up MTTR.

By automatically generating a set of potential remediation actions, regardless of what’s been provided by the source tool or security teams, in a consistent format across any type of Finding, AI Remediation empowers developers to take action on Findings and fix issues faster.
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Democratize security by putting security expertise in developers’ hands

AI Remediation helps security teams do more with their time and resources by acting as a security expertise enabler. It cuts out time security teams must spend on putting together remediation guidance for developers, and can buttress their knowledge across areas they may not be experts in. This helps security teams better scale and frees up experts within the teams to focus on higher impact work.

With AI Remediation, security experts don’t have to write up remediation guidance for every type of Finding, or create dedicated knowledge base articles for every vulnerability, weakness, or misconfiguration. This helps them scale with the pace of much larger development organizations and focus their expertise on the areas where they can have the greatest impact.
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Cut out waste and remediation inefficiencies

Incomplete, confusing, or inapplicable remediation guidance leads to developers spending valuable time searching the internet for the right course of action to take for any given Finding. This is an inefficient waste of their time. With AI Remediation, developers can cut out this inefficient step in remediation processes, and security teams can cut back on time spent writing up remediation guidance ad-hoc for various Findings. 
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Unlock faster, smoother remediation that scales

The AI-powered ArmorCode ASPM Platform leverages ArmorCode’s unmatched volume and variety of Findings, with over 10 billion Findings processed across 250+ integrations, and validation from thousands of security experts and developers to drive meaningful AI capabilities that unlock never before possible capabilities and real efficiencies. This helps security teams to correlate, prioritize, and remediate Findings faster and better than ever before. 

AI Remediation represents a major pillar of the AI-powered ASPM, bringing the ability to generate potential remediation actions for any Finding on-demand and in a consistent, actionable format. Now security and development teams can remediate Findings faster, democratize security expertise, and reduce inefficiencies in remediation processes.

Schedule a personalized demo to learn more about ArmorCode and AI Remediation.