Use of Defensive AI Against Cyberattacks Grows - Security Boulevard

Security leaders are increasingly turning to AI and ML-based defenses against cyberattacks as pessimism grows over the efficacy of human-based cybersecurity defense efforts. A recent survey from MIT Technology Review Insights, sponsored by Darktrace, found more than half of business leaders think security strategies based on human-led responses to fast-moving attacks are failing; nearly all have begun to bolster their defenses in preparation for AI-enabled attacks. "Cyber AI autonomously stops threats in their tracks and surfaces relevant information in a digestible narrative, augmenting human teams and giving them time to focus on strategic tasks that matter," said Darktrace's director of threat hunting, Max Heinemeyer. "All that organizations can do to prepare is simply embrace self-learning AI as a force multiplier." He noted that AI-powered cybersecurity platforms can integrate with other tools in a security toolbox, ingest new forms of telemetry from existing investments for further enrichment, share detections and incidents with workflow tools and even orchestrate response actions across the rest of the digital estate, for example, by integrating with preventative tools.