The real “AI race” is with your adversaries
And you need a lot more than speed
- Sees patterns & anomalies humans can't, and rule-based detections miss
- Continuously shrinks your attack surface via adaptive AI, suppresses noise
- Built on 20+ years of threat analysis and open source communities
- 40 AI/ML patents granted, 20+ pending, trained by elite SOC team
Built for security, baked in, changing outcomes
The global order relies on a free and open internet, and cybercriminals have turned it into their playground. As they chase artificial intelligence (AI) to increase the speed and scale of their attacks, we’ve been leveraging it to super charge our cybersecurity detections and triage alerts quickly. For decades, we’ve been using AI technology to power risk and threat analysis to detect attacks earlier and reduce response time.
AI-powered platform that continuously adapts to you
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 and confidence to act.
AI sees subtle patterns and anomalies that a human eye cannot. It suppresses benign alerts, organizes priorities, and guides your team to what matters – all integrated into workflows.
Breaches are “inevitable” now, so be proactive, control exposures, and use AI integrations. Even short-staffed programs with novices and budget pressures can excel.
AI-driven Cloud Anomaly Detection
Detecting malicious activity across cloud environments is a tough challenge. Cloud infrastructure is dynamic. Assets are virtual and transient. The only way to win: humans and machines collaborating, each doing what they do best.
News worth your time
Rapid7’s Pojan Shahrivar and Dr. Stuart Millar developed AI and ML techniques that effectively prevent 94% of brute-force DAST attacks, and eliminate the entire kill-chain at the source.
The achievement? 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 and Microsoft.
Exactly how is AI being used in cybersecurity (and not used, no matter what you hear)? Two of Rapid7’s senior practitioners, Jeffrey Gardner and Stephen Davis, give straight answers.