Data Theorem has introduced the API Attack Path Visualization capabilities for the protection of APIs and the software supply chain.
This latest enhancement of its API Secure solution empowers organizations with a comprehensive understanding of the attack chain, traversing all layers of an application, and extending protection to crucial underlying cloud assets including containers, storage, databases, and serverless functions.
As cyberthreats continue to evolve in sophistication, especially in the era of generative AI, understanding the complete attack path has become paramount for organizations to fortify their digital defenses.
Data Theorem's API Secure, now introduces API Attack Path Visualization to provide organizations with an unparalleled depth of insight into potential vulnerabilities and their potential impact.
These new full-stack visualization capabilities start with API exploits and expand to the broader perspective of how vulnerabilities impact mobile, web, serverless, and a variety of cloud-native applications.
Deeper understanding: Gain a full-stack view from client to infrastructure layers of the attack chain, allowing for a more in-depth analysis of potential security risks and impact.
Broader coverage: Extend visibility beyond the API layer to encompass underlying cloud assets, ensuring a holistic understanding of the entire application ecosystem.
Visual clarity: Intuitive visualizations uniquely make complex attack paths easily digestible, enabling security teams to make informed decisions with speed and precision.
Real-time monitoring: Keep abreast of dynamic threat landscapes with real-time monitoring, allowing for proactive observability and threat mitigation.
Integration capabilities: Seamlessly integrate API Attack Path Visualization into existing workflows, CI/CD tools, and traditional security tools like web application firewalls for alerting and blocking to streamline and make efficient API protection practices.
This Cyber News was published on www.helpnetsecurity.com. Publication date: Wed, 06 Dec 2023 15:28:05 +0000