Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Detecting CVE-2025-22224 with Falco

The Shadowserver group recently identified over 41,500 internet-exposed VMware ESXi hypervisors vulnerable to CVE-2025-22224, a critical Time-of-Check Time-of-Use (TOCTOU) code execution attack. The attackers who gain administrative access to a compromised VM can exploit this flaw to execute arbitrary code on the hypervisor, gaining full control over all hosted VMs and networked assets. Broadcom released emergency patches for ESXi and Workstation products to remediate the flaw.

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.

Responding and remediating: Best practices for handling security alerts

As organizations continue to evolve their DevSecOps programs by adopting comprehensive testing and monitoring, the next step is to take action on the insights uncovered. This means remediating security issues as early as possible and responding to security alerts and incidents in a timely manner. However, many security and development teams find that triaging the findings of every tool and managing remediation efforts is time-consuming and costly.

Is TensorFlow Keras "Safe Mode" Actually Safe? Bypassing safe_mode Mitigation to Achieve Arbitrary Code Execution

Update: This issue was discovered and disclosed independently to Keras by JFrog’s research team and Peng Zhou. Machine learning frameworks often rely on serialization and deserialization mechanisms to store and load models. However, improper code isolation and executable components in the models can lead to severe security risks. The structure of the Keras v3 ML Model in TensorFlow.

Exploited! Apache Tomcat Path Equivalence Vulnerability (CVE-2025-24813)

Apache Tomcat recently disclosed a critical security vulnerability, CVE-2025-24813, affecting several versions of its widely used servlet container. This vulnerability arises from improper handling of path equivalence checks involving filenames with internal dots (file…txt). Exploitation could result in unauthorized information disclosure, file manipulation, and even remote code execution (RCE).

Snyk and ServiceNow: Streamlining Vulnerability Management with ServiceNow VR Assignment Rules

Snyk is committed to our partnership with ServiceNow, and together, we're revolutionizing how organizations manage Application vulnerabilities and risk. Snyk's market-leading developer security platform and ServiceNow's robust Security Operations (SecOps) capabilities offer a powerful solution for Application Security teams and Enterprise CISOs.