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Druva: Agentic AI for ISO Compliance Gap Analysis

Druva
06/22/2026
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It turns complex, multi-day investigations into a finished report delivered in minutes. Our deep analysis agents manage the entire workflow, starting with a single prompt, like auditing your entire enterprise for ISO compliance gaps. These agents break down the task, connect millions of data points using the Drew Metagraph, and reason with continuity and context. The secret is a focus on behavioral patterns, not just activity volume. Agents apply critical constraints on the fly. Velocity analysis flags events with identical sub-second timing, instantly inferring high-risk undocumented automation and scripting, a Critical Control 8.10 violation. Drew AI flags true risk by identifying potential segregation of duty conflicts, specifically administrators performing self-provisioning and policy changes without apparent multi-party approval. It's not just a guess, it's auditable proof. The result is a structured, actionable outcome, not just a data dump. With a graded executive summary, understand any gaps in proactive controls and automation governance. This report also culminates in a comprehensive remediation roadmap, providing the exact, prioritized next steps for your security and compliance teams. Shift from manual log correlation to autonomous, intelligent investigation. Delegate the impossible, deliver the outcome. This is Drew AI Deep Insight.

TL;DR

  • Dru AI uses agentic intelligence to automate ISO compliance audits, reducing multi-day investigations to minutes by analyzing behavioral patterns across millions of data points
  • The platform automatically detects Critical Control 8.10 violations through velocity analysis, flagging identical sub-second timing events that indicate high-risk undocumented automation
  • Deep analysis agents produce structured reports with executive summaries, compliance gap assessments, and prioritized remediation roadmaps for security teams

Summary

This demonstration showcases Dru AI's agentic intelligence capabilities for enterprise compliance auditing, specifically focusing on ISO compliance gap analysis. The platform transforms complex, multi-day compliance investigations into automated workflows that deliver finished reports in minutes. Using what Druva calls the Drew Metagraph, the system connects millions of data points to identify behavioral patterns rather than simply tracking activity volume. The demonstration highlights how the AI agents autonomously break down compliance audit tasks, apply critical constraints dynamically, and produce structured, actionable outcomes. Key capabilities include velocity analysis to detect undocumented automation, identification of segregation of duty conflicts, and generation of comprehensive remediation roadmaps with prioritized next steps for security and compliance teams.

Chapters

0:00 - Deep Analysis Intelligence Overview
0:12 - Agentic Workflow and Metagraph
0:33 - Velocity Analysis and Violation Detection
0:58 - Structured Outcomes and Remediation

Key Quotes

0:07 "It turns complex, multi-day investigations into a finished report delivered in minutes."
0:28 "The secret is a focus on behavioral patterns, not just activity volume."
0:56 "It's not just a guess, it's auditable proof."

FAQ

How does Dru AI reduce compliance investigation time from days to minutes?

Dru AI uses agentic intelligence to autonomously break down complex audit tasks, connect millions of data points through the Drew Metagraph, and apply critical constraints dynamically. Instead of manual log correlation, the AI agents manage the entire workflow from initial prompt to finished report, focusing on behavioral patterns rather than activity volume to identify true compliance risks.


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  • » Webinar Library » Druva
  • » Data Protection
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  • AI & Machine Learning
  • Compliance & Governance
  • Security Operations
  • Demo
  • Technical Deep Dive
  • Agentic AI
  • ISO Compliance
  • Security Automation
  • Compliance Gap Analysis
  • Behavioral Analytics
  • Segregation of Duties
  • Audit Automation
  • Risk Detection
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