Harnessing AI and proactive measures for effective management of vulnerability alerts
Recently I had the privilege of hosting a webinar where our very own CTO Matias Madou and with Mednd.io’s Sharon Kochevsky addressing Taking charge of vulnerability alerts. During the session they explored both the challenges and the solutions in handling security vulnerability alerts. In case you missed the webinar, here are a few key takeaways from their conversation. Of course, the webinar is also now on-demand here to get the full details.
Impact of AI on security
Matias incorporated the analogy of self-driving cars to explain the current state of AI creating secure software. While self-driving cars can technically drive themselves they still face problems while on the road. For instance, he referenced one situation where self-driving cars encountered a problem on the road never encountered before and would ghost break as a result. Problems will come, and it’s the human technicians that need to resolve. Similarly, if developers blindly follow AI, errors in code and vulnerabilities could come into play.
For AI to produce better output, Matias stressed the need for regularity and numerous good code examples to train developers on the AI models. While AI presently works well on generic frameworks, it falls short with real-world applications that operate on millions of code lines.
He further explained that seasoned developers could reap the benefits of generative AI for accelerated coding, but those not trained might pose a threat as they could reproduce and paste faulty codes at rapid pace.
Shifting towards proactiveness
One topic that led the discussion was the shift towards proactive actions. Rather than keeping tabs on security issues, Sharon Kochevsky advocates for enterprises and AppSec programs to take a more proactive approach with actual code fixes versus a reactive approach focused on security reporting. In line with Matias, he underscores the need to surpass purely administrative practices and focus on consequential outcomes. The panel also discussed primary areas of creating reports along with utilizing security products incorporated with real-time dashboards and issue tracking.
Bridging the gap
Sharon and Matias also identified a crucial problem that should get addressed: the disconnection between developers and security managers. Organizations and enterprises are now adding security champions to help bridge the gap. These are security pros located within the engineering team, and help promote proactive security measures.
Needless to say, we just scratched the surface on this topic and the conversation extends beyond these webinars; continuous discussion and engagement are crucial in our ever-evolving industry. If you would like to learn more or replay the session, it is now available on-demand.


Secure Code Warrior and Mend.io discuss impacts of AI on security, proactive security approaches, and effective management of vulnerability alerts.
Secure Code Warrior makes secure coding a positive and engaging experience for developers as they increase their skills. We guide each coder along their own preferred learning pathway, so that security-skilled developers become the everyday superheroes of our connected world.

Secure Code Warrior is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
Book a demoSecure Code Warrior makes secure coding a positive and engaging experience for developers as they increase their skills. We guide each coder along their own preferred learning pathway, so that security-skilled developers become the everyday superheroes of our connected world.
This article was written by Secure Code Warrior's team of industry experts, committed to empowering developers with the knowledge and skills to build secure software from the start. Drawing on deep expertise in secure coding practices, industry trends, and real-world insights.


Recently I had the privilege of hosting a webinar where our very own CTO Matias Madou and with Mednd.io’s Sharon Kochevsky addressing Taking charge of vulnerability alerts. During the session they explored both the challenges and the solutions in handling security vulnerability alerts. In case you missed the webinar, here are a few key takeaways from their conversation. Of course, the webinar is also now on-demand here to get the full details.
Impact of AI on security
Matias incorporated the analogy of self-driving cars to explain the current state of AI creating secure software. While self-driving cars can technically drive themselves they still face problems while on the road. For instance, he referenced one situation where self-driving cars encountered a problem on the road never encountered before and would ghost break as a result. Problems will come, and it’s the human technicians that need to resolve. Similarly, if developers blindly follow AI, errors in code and vulnerabilities could come into play.
For AI to produce better output, Matias stressed the need for regularity and numerous good code examples to train developers on the AI models. While AI presently works well on generic frameworks, it falls short with real-world applications that operate on millions of code lines.
He further explained that seasoned developers could reap the benefits of generative AI for accelerated coding, but those not trained might pose a threat as they could reproduce and paste faulty codes at rapid pace.
Shifting towards proactiveness
One topic that led the discussion was the shift towards proactive actions. Rather than keeping tabs on security issues, Sharon Kochevsky advocates for enterprises and AppSec programs to take a more proactive approach with actual code fixes versus a reactive approach focused on security reporting. In line with Matias, he underscores the need to surpass purely administrative practices and focus on consequential outcomes. The panel also discussed primary areas of creating reports along with utilizing security products incorporated with real-time dashboards and issue tracking.
Bridging the gap
Sharon and Matias also identified a crucial problem that should get addressed: the disconnection between developers and security managers. Organizations and enterprises are now adding security champions to help bridge the gap. These are security pros located within the engineering team, and help promote proactive security measures.
Needless to say, we just scratched the surface on this topic and the conversation extends beyond these webinars; continuous discussion and engagement are crucial in our ever-evolving industry. If you would like to learn more or replay the session, it is now available on-demand.

Recently I had the privilege of hosting a webinar where our very own CTO Matias Madou and with Mednd.io’s Sharon Kochevsky addressing Taking charge of vulnerability alerts. During the session they explored both the challenges and the solutions in handling security vulnerability alerts. In case you missed the webinar, here are a few key takeaways from their conversation. Of course, the webinar is also now on-demand here to get the full details.
Impact of AI on security
Matias incorporated the analogy of self-driving cars to explain the current state of AI creating secure software. While self-driving cars can technically drive themselves they still face problems while on the road. For instance, he referenced one situation where self-driving cars encountered a problem on the road never encountered before and would ghost break as a result. Problems will come, and it’s the human technicians that need to resolve. Similarly, if developers blindly follow AI, errors in code and vulnerabilities could come into play.
For AI to produce better output, Matias stressed the need for regularity and numerous good code examples to train developers on the AI models. While AI presently works well on generic frameworks, it falls short with real-world applications that operate on millions of code lines.
He further explained that seasoned developers could reap the benefits of generative AI for accelerated coding, but those not trained might pose a threat as they could reproduce and paste faulty codes at rapid pace.
Shifting towards proactiveness
One topic that led the discussion was the shift towards proactive actions. Rather than keeping tabs on security issues, Sharon Kochevsky advocates for enterprises and AppSec programs to take a more proactive approach with actual code fixes versus a reactive approach focused on security reporting. In line with Matias, he underscores the need to surpass purely administrative practices and focus on consequential outcomes. The panel also discussed primary areas of creating reports along with utilizing security products incorporated with real-time dashboards and issue tracking.
Bridging the gap
Sharon and Matias also identified a crucial problem that should get addressed: the disconnection between developers and security managers. Organizations and enterprises are now adding security champions to help bridge the gap. These are security pros located within the engineering team, and help promote proactive security measures.
Needless to say, we just scratched the surface on this topic and the conversation extends beyond these webinars; continuous discussion and engagement are crucial in our ever-evolving industry. If you would like to learn more or replay the session, it is now available on-demand.

Click on the link below and download the PDF of this resource.
Secure Code Warrior is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
View reportBook a demoSecure Code Warrior makes secure coding a positive and engaging experience for developers as they increase their skills. We guide each coder along their own preferred learning pathway, so that security-skilled developers become the everyday superheroes of our connected world.
This article was written by Secure Code Warrior's team of industry experts, committed to empowering developers with the knowledge and skills to build secure software from the start. Drawing on deep expertise in secure coding practices, industry trends, and real-world insights.
Recently I had the privilege of hosting a webinar where our very own CTO Matias Madou and with Mednd.io’s Sharon Kochevsky addressing Taking charge of vulnerability alerts. During the session they explored both the challenges and the solutions in handling security vulnerability alerts. In case you missed the webinar, here are a few key takeaways from their conversation. Of course, the webinar is also now on-demand here to get the full details.
Impact of AI on security
Matias incorporated the analogy of self-driving cars to explain the current state of AI creating secure software. While self-driving cars can technically drive themselves they still face problems while on the road. For instance, he referenced one situation where self-driving cars encountered a problem on the road never encountered before and would ghost break as a result. Problems will come, and it’s the human technicians that need to resolve. Similarly, if developers blindly follow AI, errors in code and vulnerabilities could come into play.
For AI to produce better output, Matias stressed the need for regularity and numerous good code examples to train developers on the AI models. While AI presently works well on generic frameworks, it falls short with real-world applications that operate on millions of code lines.
He further explained that seasoned developers could reap the benefits of generative AI for accelerated coding, but those not trained might pose a threat as they could reproduce and paste faulty codes at rapid pace.
Shifting towards proactiveness
One topic that led the discussion was the shift towards proactive actions. Rather than keeping tabs on security issues, Sharon Kochevsky advocates for enterprises and AppSec programs to take a more proactive approach with actual code fixes versus a reactive approach focused on security reporting. In line with Matias, he underscores the need to surpass purely administrative practices and focus on consequential outcomes. The panel also discussed primary areas of creating reports along with utilizing security products incorporated with real-time dashboards and issue tracking.
Bridging the gap
Sharon and Matias also identified a crucial problem that should get addressed: the disconnection between developers and security managers. Organizations and enterprises are now adding security champions to help bridge the gap. These are security pros located within the engineering team, and help promote proactive security measures.
Needless to say, we just scratched the surface on this topic and the conversation extends beyond these webinars; continuous discussion and engagement are crucial in our ever-evolving industry. If you would like to learn more or replay the session, it is now available on-demand.
Table of contents
Secure Code Warrior makes secure coding a positive and engaging experience for developers as they increase their skills. We guide each coder along their own preferred learning pathway, so that security-skilled developers become the everyday superheroes of our connected world.

Secure Code Warrior is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
Book a demoDownloadResources to get you started
AI Coding Assistants: A Guide to Security-Safe Navigation for the Next Generation of Developers
Large language models deliver irresistible advantages in speed and productivity, but they also introduce undeniable risks to the enterprise. Traditional security guardrails aren’t enough to control the deluge. Developers require precise, verified security skills to identify and prevent security flaws at the outset of the software development lifecycle.
Secure by Design: Defining Best Practices, Enabling Developers and Benchmarking Preventative Security Outcomes
In this research paper, Secure Code Warrior co-founders, Pieter Danhieux and Dr. Matias Madou, Ph.D., along with expert contributors, Chris Inglis, Former US National Cyber Director (now Strategic Advisor to Paladin Capital Group), and Devin Lynch, Senior Director, Paladin Global Institute, will reveal key findings from over twenty in-depth interviews with enterprise security leaders including CISOs, a VP of Application Security, and software security professionals.
Resources to get you started
Setting the Standard: SCW Releases Free AI Coding Security Rules on GitHub
AI-assisted development is no longer on the horizon — it’s here, and it’s rapidly reshaping how software is written. Tools like GitHub Copilot, Cline, Roo, Cursor, Aider, and Windsurf are transforming developers into co-pilots of their own, enabling faster iteration and accelerating everything from prototyping to major refactoring projects.
Close the Loop on Vulnerabilities with Secure Code Warrior + HackerOne
Secure Code Warrior is excited to announce our new integration with HackerOne, a leader in offensive security solutions. Together, we're building a powerful, integrated ecosystem. HackerOne pinpoints where vulnerabilities are actually happening in real-world environments, exposing the "what" and "where" of security issues.