Bitsight has introduced its next evolution of AI-powered technology to provide enterprises with a continuously updated view of Internet-connected assets, third- and fourth-party relationships and overall risk posture.
The new architecture contextualizes billions of security observations and turns them into timely and actionable insights for customers.
The new Discovery and Attribution Engine creates a dynamic map of an organisation’s Internet-connected assets, making it faster and easier to view exposure across the extended attack surface, assess risk and prioritize remediation.
“Today’s companies have no borders and their digital footprint is constantly evolving,” said Alex Laats, Chief Product Officer, Bitsight.
“The use of AI to quickly – and accurately – paint an external picture of organizational risk and share key recommendations is simply transformative. We can now help risk and security leaders truly keep pace with the change at Internet scale.”
The AI models that power Bitsight’s GIA are trained with human-curated data leveraging the IT infrastructure of hundreds of millions of assets and connected devices. The new offerings leverage AI to automate and scale, and Bitsight’s team of 100-plus security researchers verify the results and improve the models – delivering more accurate entity maps.
Derek Vadala, Chief Risk Officer, Bitsight, said: “Our responsibility to the risk leaders we work with is that we have strict accountability and procedures for how we leverage AI and the data it produces to protect their business.
“This vigilance carried over to these AI-powered scanning and mapping technologies.”
