AI for Data Security: Fast & Safe Automation

Autonomous AI agents can significantly reduce the manual work that slows down data security teams. Security engineers often spend more time on tasks generated by detection tools than on actual threats. Here's the thing: alert triage, classification upkeep, policy engineering, and exception review consume the majority of time in data security programs. For example, 73% of security teams cite false positives as their top threat detection challenge. Also, 48% of organizations report that their security policy changes are mostly or fully manual. This leads to issues, as 65% experienced an outage due to a misconfigured policy in the past year. What's interesting is that data now moves at machine speed with generative AI, making weekly policy-tuning cycles too slow to govern data movement measured in seconds. The bottom line: automating these tasks could free up security teams to focus on actual threats and keep pace with AI-driven data movement.