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Rapid7 Accelerates Exposure Remediation with AI-Generated Risk Insights and Enhanced Vulnerability Intelligence

Rapid7

Boston-based cybersecurity leader Rapid7, Inc. announced new AI features to help security teams prioritize and tackle exposures. These improvements tackle the rising challenge of changing risks. They give organizations better visibility, context, and actionable insights.

As volumes of cyber-threats surge, the gap between exposures being detected and remediation resources available will also continue to widen. “Exposures are growing faster than teams can respond,” said Craig Adams, Chief Product Officer at Rapid7. “Organisations rely on their security teams to manage an impossible volume of vulnerabilities and blind spots we’ve built these new capabilities to help close that gap.”

The newly released features combine AI-generated risk insights with enriched vulnerability intelligence to:

Rapid7’s platform uses predictive modeling and real-world threat data. This helps teams address their biggest security risks more quickly. For companies that shift from spotting problems to solving them, Rapid7’s AI system helps turn raw data into smart choices on what to tackle.

“To stay ahead, organisations must move at machine-speed and focus on what matters most,” added Adams. “By delivering AI-generated risk insights and enhanced vulnerability intelligence, we’re empowering security teams to act decisively and reduce time to remediation.”

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In trials, new capabilities enabled participating organizations to reduce mean time to remediation for critical exposures by as much as 30%, with sharper focus on the assets and vulnerabilities which pose the greatest potential business impact. Early adopters highlighted improved alignment between asset owners, security operations and response teams- leading to concerted action rather than reactive firefighting.

Rapid7‘s upgrades show our commitment to real results. We turn remediation into smart security actions. Organizations face evolving threats and growing digital attack surfaces. They need a single system. This system should combine detection, prioritization, and remediation into one smart framework.

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