Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

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.

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 is exploring using the open-source Golang project Bento to read data from Kafka streams and materialize intelligence to various outputs. We are pleased to share that we are proactively helping secure the Bento project by contributing dependency fix updates.

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.