AI for Detection and Response | Cloudflare’s Mark Anderson

**TL;DR: Cloudflare’s Mark Anderson believes security controls must be everywhere, while AI lets machines handle the drudgery of processing alerts, reserving human judgment for the most critical work.** ## Security controls cannot live only in someone’s office Security capabilities should not be the exclusive responsibility of a particular team, department, or person’s office. They must be everywhere, woven into every aspect of products, infrastructure, and daily operations. ## Breaking free from “whack-a-mole” response Traditional security teams essentially operate in whack-a-mole mode: addressing vulnerabilities one after another, scrambling to keep up with alerts that constantly pop up. This approach has a fundamental limit: **adding more people alone will not solve the problem**. Even if you hire more people and pack them all into a security operations center (SOC), they still cannot keep pace with the growth in vulnerabilities and alerts. ## Using AI to automate detection and response Cloudflare’s internal approach is for its security team to make extensive use of AI to automate detection and response capabilities in substantial ways—handing repetitive tasks such as detection, alert triage, and initial response over to machines. ## The real value of automation The beauty of the automation offered by companies like OpenAI lies in: - **Letting machines handle the drudgery**—AI screens, categorizes, and performs initial handling of vast volumes of alerts; - **Letting people focus on judgment**—security experts can devote their energy to the most critical areas, where human experience and decision-making are needed most. Ultimately, the division of labor between humans and machines shifts from “people chasing alerts” to “machines handling scale, people exercising judgment.” Source: AI for Detection and Response | Cloudflare’s Mark Anderson (https://www.youtube.com/watch?v=ilG7LPrngkI)