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.
PDW is acquiring Vanteon to expand tactical communications capabilities The acquisition will bring expertise in RF systems, software-defined radios and…
CISA is planning a $100 million cyber operations contract supporting threat-hunting missions The requirement will provide technical and operational support…
Valiant Solutions is expanding its cybersecurity portfolio through the acquisition of BreakPoint Labs The acquisition will bring operational technology security,…