Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Veracode AI Code Secure: Real-Time Supply Chain Security for AI Development

Veracode AI Code Secure for Software Supply Chain is a real-time AI code purifier delivering curated insights on vulnerabilities, malware, and licensing to OEMs. By integrating directly into AI coding workflows, AI Code Secure closes critical security gaps left by outdated or incomplete LLM training data.

Executive Cloud Posture Reports with Charlotte AI: Demo Drill Down

Powered by AI, Falcon Cloud Security surfaces the most critical misconfigurations, and Charlotte AI transforms them into clear business impact to provide CISO ready reports. Subscribe and Stay Updated: ► Don't miss out on more exciting content! Subscribe to our channel for the latest updates, case studies, and more from the world of cybersecurity. Hit the bell icon to receive notifications whenever we post new videos.

Prioritize with Snyk's Open Source Vulnerability Experience

Prioritizing which vulnerabilities to fix across your application isn't always easy. Is it exploitable? Is it reachable? Will the update introduce breaking changes? Are there any other teams using this library that you should be aware of? What does the backlog look like if other changes need to be made? And that's just this week. Next week, it'll be the same thing all over again, with new discoveries, new version releases, and maybe even a new cybersecurity breach.

Responsible AI for improved security and better decision making

One Identity helps organizations strengthen cybersecurity, boost efficiency and control costs through the One Identity Fabric, a holistic approach to identity and access management (IAM). By unifying IAM tools, including identity governance and administration (IGA), access management (AM), privileged access management (PAM), and Active Directory management (AD Mgmt), it ensures optimal functionality and efficiency. This cohesive structure reduces identity sprawl and extends governance to the farthest endpoints of your IAM ecosystem.

The New Frontier: Why You Can't Secure AI Without Securing APIs

The release of a new KuppingerCole Leadership Compass is always a significant event for the cybersecurity industry, offering a vendor-neutral view of the market's current state. The 2025 edition, focusing on API Security and Management, is critical as it arrives at a pivotal moment for technology. It clearly presents a fact many organizations are just beginning to understand: the crucial connection between the rise of Artificial Intelligence and the necessity for robust API security.

The AI-Native Era is Here: What this Gartner Innovation Insight Means for Your Software Security

A new era of software engineering is emerging, with artificial intelligence (AI) at the forefront. As the 2025 Gartner Innovation Insight for AI-Native Software Engineering report states: “AI-native software engineering will require software engineering leaders to mitigate new risks and tackle new challenges.” Here are the key insights and perspectives that will help you navigate the new normal.

Shift Left AI Security #coding #cybersecurity

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

Combining AI and APIs to close the risk visibility gap: A strategic framework

In this article API integrations have become the backbone of modern digital interactions, yet they also introduce vulnerabilities that can be exploited if left unchecked. The convergence of artificial intelligence (AI) and application programming interfaces (APIs) offers a promising solution to what many refer to as the “risk visibility gap.” This critical gap is defined as the difference between known API vulnerabilities and the unseen or unmonitored risks that arise from their use.

AI in Healthcare: Navigating Data Privacy and Medical Advice

AI in Healthcare: Navigating Data Privacy and Medical Advice In this video, A10 Networks security experts Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar explore the critical security challenges of deploying AI and Large Language Models (LLMs). They focus on protecting sensitive data—especially in areas such as healthcare—and offer key insights on how organizations can effectively secure these powerful technologies.