The global order relies on a free 和 open internet, 和 cybercriminals have turned it into their playground. As they chase artificial intelligence (AI) to increase the speed 和 scale of their attacks, we’ve been leveraging it to super charge our cybersecurity detections 和 triage alerts quickly. 几十年来,, we’ve been using AI technology to power risk 和 threat analysis to detect attacks earlier 和 reduce response time.
Rapid7’s AI-powered platform detects threats as they happen across your environment, automatically validating if the activity is malicious, so you have the clarity 和 confidence to act.
AI sees subtle patterns 和 anomalies that a human eye cannot. It suppresses benign alerts, organizes priorities, 和 guides your team to what matters – all integrated into workflows.
Breaches are “inevitable” now, so be proactive, control exposures, 和 use AI integrations. Even short-staffed programs with novices 和 budget pressures can excel.
Detecting malicious activity across cloud environments is a tough challenge. Cloud infrastructure is dynamic. Assets are virtual 和 transient. The only way to win: humans 和 machines collaborating, each doing what they do best.
Rapid7’s Pojan Shahrivar 和 Dr. Stuart Millar developed AI 和 ML techniques that effectively prevent 94% of brute-force DAST attacks, 和 eliminate the entire kill-chain at the source.
的成就? The use of AI/ML to triage vulnerability remediation, reducing false positives by 96%. Our team took this coveted award ahead of the likes of Apple 和 Microsoft.
Exactly how is AI being used in cybersecurity (和 not used, no matter what you hear)? Two of Rapid7’s senior practitioners, Jeffrey Gardner 和 Stephen Davis, give straight answers.