#application security

#application security

Many software engineering leaders and practitioners struggle to release code without risking failures, facing challenges like manual rollbacks and slow testing processes. [ more ]

Corporations rushing to implement AI overlook application security, especially in generative AI.

Securing AI involves three layers: training environment, tools for running applications, and application security on top.

Lack of attention to application security in AI deployment poses risks of data misuse and exploitation. [ more ]

Snyk AppRisk Pro leverages AI and ML for deeper insights into application construction, prioritizing remediation efforts, and detecting secrets in code. [ more ]

90% of Java services have critical vulnerabilities from third-party libraries, 63% from indirect dependencies, impacting app security and requiring continuous improvement in DevSecOps. [ more ]

Securing application environments is essential for operational security, compliance, and customer trust, requiring identification and mitigation of vulnerabilities through detailed understanding and effective strategies. [ more ]

Cloud-native architectures and Kubernetes complexity

Application security best practices and compliance strategies [ more ]