Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

EP 3 - Building Trust in AI Agents

In this episode of the Security Matters podcast, host David Puner is joined by Lavi Lazarovitz, Vice President of Cyber Research at CyberArk Labs, to explore the transformative impact of AI agents on cybersecurity and automation. They discuss real-world scenarios where AI agents monitor security logs, flag anomalies, and automate responses, highlighting both the opportunities and risks associated with these advanced technologies.

Secure Your AI: Protecting Agentic AI in an API-Driven World

As enterprises embrace agentic AI for transformative business opportunities, they face a critical challenge: ensuring these intelligent systems operate securely. Wallarm, the leader in API-first security, invites you to an exclusive webinar to explore how to safeguard AI agents, APIs, and sensitive data from emerging threats. Learn how to protect your AI ecosystem and ensure business continuity with actionable insights from Wallarm Security Lab. Discover why 90% of agentic AI deployments are vulnerable and how to defend them.

AI Security = API Security: 10x Surge in AI-Related CVEs #AIExploits #APIAttacks #SecureAI

AI-driven applications rely on APIs, making them a prime target for attackers. In 2024, AI-related CVEs increased 10x, with 98.6% of vulnerabilities linked to APIs. As AI agents interact with systems via APIs, security risks grow. Learn why securing AI means securing APIs.

AI Risk Management: Benefits, Challenges, and Best Practices

Managing the risks of AI development tools is crucial for organizations looking to responsibly and effectively leverage this technology’s potential. AI offers transformative capabilities, particularly in coding assistance, where tools can speed up development and reduce manual workloads. However, these benefits can come with risks, such as security vulnerabilities and compliance challenges, that cannot be overlooked.

Red Teaming for Generative AI: A Practical Approach to AI Security

Generative AI is changing industries by making automation, creativity, and decision-making more powerful. But it also comes with security risks. AI models can be tricked into revealing information, generating harmful content, or spreading false data. To keep AI safe and trustworthy, experts use GenAI Red Teaming. This method is a structured way to test AI systems for weaknesses before they cause harm.

Managing Cloud Exposures Just Got Easier: Introducing Nucleus Cloud-Native Vulnerability and Exposure Management

Every day, security teams are expected to manage risks in cloud environments that they don’t fully control, can’t always see, and that are constantly changing. Cloud-native assets—such as container workloads, autoscaling groups, and serverless functions—are highly dynamic, appearing, disappearing, and evolving in response to demand and functionality changes.

EP 3 - Building Trust in AI Agents

In this episode of the Security Matters podcast, host David Puner is joined by Lavi Lazarovitz, Vice President of Cyber Research at CyberArk Labs, to explore the transformative impact of AI agents on cybersecurity and automation. They discuss real-world scenarios where AI agents monitor security logs, flag anomalies, and automate responses, highlighting both the opportunities and risks associated with these advanced technologies.

Top Checkmarx Alternatives for Application Security in 2025

Checkmarx is a popular SAST, DAST, and SCA provider that helps organizations detect and fix vulnerabilities and ensure application security. Its robust testing capabilities make it a go-to choice for many enterprises looking to integrate security into their DevSecOps pipeline. However, like all tools, Checkmarx has certain limitations. Some users find it expensive and complex to set up, while others report long scan times and occasional false positives, which slow down development workflows.