HomeCyber BalkansNew API security startup claims superiority to legacy protection capabilities

New API security startup claims superiority to legacy protection capabilities

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Vorlon’s Platform Empowers Organizations to Strengthen API Security

The concept of “shift left” has long been promoted as a way to integrate security earlier in the development process. However, despite the increasing complexity and nuanced nature of APIs, the market for API security has historically focused on the development side and has overlooked the needs of API consumers. This oversight has led to a lack of effective tools for managing, monitoring, and controlling data in motion, according to Yakubov, a security expert.

Recognizing the need to address security concerns on the consumption side, Vorlon has developed a platform that aims to provide organizations with the tools to assess and manage the security of their existing third-party integrations. By scanning the API used and the data transmitted through these integrations, Vorlon’s platform can visualize the exposure and risks associated with these connections, giving organizations greater insight into potential security vulnerabilities.

Since November 2023, Vorlon claims to have processed over 50 million API calls and assisted early adopters in addressing critical security issues related to over-permissive connections, abuse of API secrets, exposed multi-use secrets, malicious IP access, and abnormal activities from third-party applications. Avishai Avivi, chief information security officer at SafeBreach, attested to the value of Vorlon’s platform, noting that it provided valuable telemetry and threat intelligence around API usage, particularly in relation to third-party vendors.

One of the key capabilities of Vorlon’s platform is its use of machine learning for anomaly detection. By processing and analyzing a large volume of API data in near real time, Vorlon’s machine learning engines can identify anomalies and abnormal activity in a customer’s specific instance of an observed third-party app. According to Yakubov, this behavioral analysis leverages machine learning to differentiate between normal and abnormal activity, taking into account the unique context of each organization.

In practice, Vorlon’s platform has proven to be invaluable in helping organizations gain a deeper understanding of the APIs they use, the systems they connect to, and the data enabled by these APIs. By shedding light on the attack surface generated by third-party vendors and providing actionable insights into potential security risks, Vorlon’s platform has emerged as a game-changer for organizations looking to bolster their API security.

Looking to the future, Vorlon aims to continue refining its platform and expanding its capabilities to address the evolving landscape of API security. By leveraging machine learning and advanced analytics, Vorlon is poised to play a crucial role in helping organizations stay ahead of emerging security threats and ensure the integrity and security of their API integrations.

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