Doug Steele, vice president of federal sales at Noname Security, said government agencies advancing digital transformation efforts should have complete visibility into their application programming interfaces to protect sensitive data from threat actors and other cyber vulnerabilities.
In an article published on Carahsoft.com, Steele wrote that companies like Noname Security leverage the power of machine learning to help agencies gain visibility into their APIs and implement compliance and configuration best practices based on how they use APIs.
According to the federal sales VP, the company’s API security approach has four major pillars. The first is that its security platform can detect all APIs both in the cloud and on premises.
Steele said the company helps agencies determine whether its APIs have been configured in accordance with industry standards, identify any risks in those configurations and find behavioral anomalies by analyzing traffic across networks.
“Using machine learning to build a baseline of the agency’s API fabric, our technology can alert organizations to any potential concerns,” he noted.
The Noname Security executive stated that the company’s platform includes a tool for ensuring API security by “conducting vulnerability testing in a controlled environment” as teams go through the development pipeline.
