“The harder problem is no longer just finding issues, it is knowing which ones are real, which ones matter in their environment, and which ones need to be fixed first,” said Akshat Tyagi, associate practice leader at HFS Research. “Traditional workflows built around dashboards and manual triage struggle with that volume. A dashboard can show the backlog, but it does not validate the finding, assess business impact, or help remediate it.”
Continuum’s value, according to Tyagi, “is not just more detection, but using AI to prioritize risk findings, suggest mitigations, and support faster action while keeping humans in control of high-risk decisions.”
Taking faster action is becoming increasingly important as attackers are gaining access to many of the same AI capabilities that enterprises are using to accelerate software development and security testing, according to Amit Chandak, chief analytics officer at IT consulting firm Kanerika. “The gap between a flaw being disclosed and a working exploit is shrinking rapidly from months to hours,” he said.