The first-ever CNAPP workflow optimizations for attack path analysis and software supply chain protection are introduced by Data Theorem.

A leading provider of contemporary application security, Data Theorem, Inc., recently launched Cloud Secure, a Cloud-Native Application Protection Platform (CNAPP) that includes an industry-first attack path analysis of APIs and software supply chain attacks. Improved visualizations and machine learning (ML)-based hacker toolkits are features of the latest release that facilitate the identification of possible data breaches in third-party software supply chain assets and first-party APIs housed in multi-cloud environments.
Following today’s introduction, businesses can now best safeguard their cloud-native applications and identify vulnerabilities that potentially result in data breaches by utilizing an advanced machine learning-based CNAPP solution. In the past, enterprises were forced to depend on agent-based cloud workload protection platforms (CWPP) and cloud security posture management (CSPM), which are unable to reliably identify threat surfaces like first- and third-party APIs that lead to the critical path hackers utilize to successfully exploit vulnerabilities and extract sensitive data.