The AI engine security teams trust
Built for security, thoughtfully trained
- Meticulously trained on 20+ years of proprietary Rapid7 data & 的见解
- High fidelity threat & anomaly detection at scale
- 优化 & augments SOC workflows, speeds decisions
Let’s talk about that “AI race”
In the race to deliver business value with AI, shortcuts are tempting. Why can Rapid7 resist? We began our AI 和 machine learning journey decades ago. Our approach remains thoughtful, 测量, 和 protective of data privacy 和 our own security st和ards. Data-centric AI has been (quietly) embedded in our platform for years, powering risk 和 threat analysis, detecting attacks earlier, reducing response time. 现在, we’ve added a generative AI engine trained on proprietary data 和 trillions of security events we observe weekly.
Get the benefits of AI without the burdens
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.
Generative AI solutions built on AWS
现在, Rapid7 supercharges SecOps in partnership with AWS. Our MDR SOC can help customers rapidly identify critical anomalies 和 recognize threats evolving in real time. 在本指南中, 由AWS共同撰写, you’ll learn how the Rapid7 AI Engine enables intelligent threat detection, secure AI/ML application development, 和更多的.
新闻 worth your time
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.
We’ve had a specialist data presence in Belfast for years. Today, it’s our largest R&D hub outside the US. At the core of our AI engineering is a data-centric approach