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 demo
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.
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.
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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.
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
The Power of OpenText Application Security + Secure Code Warrior
OpenText Application Security and Secure Code Warrior combine vulnerability detection with AI Software Governance and developer capability. Together, they help organizations reduce risk, strengthen secure coding practices, and confidently adopt AI-driven development.
Secure Code Warrior corporate overview
Secure Code Warrior is an AI Software Governance platform designed to enable organizations to safely adopt AI-driven development by bridging the gap between development velocity and enterprise security. The platform addresses the "Visibility Gap," where security teams often lack insights into shadow AI coding tools and the origins of production code.
Secure code training topics & content
Our industry-leading content is always evolving to fit the ever changing software development landscape with your role in mind. Topics covering everything from AI to XQuery Injection, offered for a variety of roles from Architects and Engineers to Product Managers and QA. Get a sneak peek of what our content catalog has to offer by topic and role.
Cyber Resilience Act (CRA) Aligned Learning Pathways
SCW supports Cyber Resilience Act (CRA) readiness with CRA-aligned Quests and conceptual learning collections that help development teams build the Secure by Design, SDLC, and secure coding skills aligned with the CRA’s secure development principles.
Resources to get you started
Observe and Secure the ADLC: A Four-Point Framework for CISOs and Development Teams Using AI
While development teams look to make the most of GenAI’s undeniable benefits, we’d like to propose a four-point foundational framework that will allow security leaders to deploy AI coding tools and agents with a higher, more relevant standard of security best practices. It details exactly what enterprises can do to ensure safe, secure code development right now, and as agentic AI becomes an even bigger factor in the future.
