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AI-Powered Cyber Investigation with Druva Deep Analysis

Druva
06/14/2026
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You need answers in minutes. This is the power of DruAI's agentic intelligence, delivering an immediate autonomous forensic investigation. DruAI Deep Analysis turns complex, multi-day investigations into a finished report, starting with a single prompt. Review our admin logs and compare them to last month's baseline. The Deep Analysis agents break down the task, connect millions of data points, and correlate evidence against the MITRE ATT&CK framework. The result is not a data dump, it's an actionable investigation report. It exposes critical anomalies that a manual review might miss. In this example, it flagged off-hours privileged account creation, a high-risk persistence tactic. It uncovered 15 rapid-fire account updates, a new pattern indicative of privilege escalation via automated tooling. And finally, DruAI exposed unprecedented disaster recovery failover and deletions, a clear signal of the impact stage of the ATT&CK chain. This analysis provides an immediate ATT&CK chain hypothesis and a prioritized remediation roadmap, including urgent actions to validate the suspicious account and review the rapid configuration changes. Shift from manual log correlation to autonomous intelligent investigation. Delegate the impossible, deliver the outcome. This is DruAI Deep Insight.

TL;DR

  • DruAI Deep Analysis automates cyber forensic investigations, reducing multi-day manual processes to minutes through agentic AI that autonomously analyzes millions of data points and correlates evidence against MITRE ATT&CK framework
  • The system identified three critical attack indicators in the demonstration: off-hours privileged account creation (persistence tactic), 15 rapid account updates (privilege escalation via automation), and unprecedented DR failover/deletions (impact stage)
  • Instead of data dumps, DruAI delivers actionable investigation reports with attack chain hypotheses and prioritized remediation roadmaps, enabling security teams to shift from manual correlation to autonomous intelligent investigation

Summary

This demonstration showcases DruAI Deep Analysis, Druva's agentic AI capability designed to transform cyber incident investigation from a multi-day manual process into an automated, minutes-long analysis. The system autonomously conducts forensic investigations by processing millions of data points, correlating evidence against the MITRE ATT&CK framework, and delivering actionable investigation reports rather than raw data dumps. Using a simple natural language prompt to compare current admin logs against baseline activity, DruAI identifies critical attack chain indicators including off-hours privileged account creation, rapid-fire account modifications suggesting automated privilege escalation, and unprecedented disaster recovery operations signaling potential impact-stage activities. The platform provides security teams with an immediate attack hypothesis, MITRE ATT&CK chain mapping, and a prioritized remediation roadmap, fundamentally shifting incident response from manual log correlation to autonomous intelligent investigation that delivers outcomes rather than just answers.

Chapters

0:00 - The Investigation Speed Challenge
0:13 - DruAI Deep Analysis Overview
0:37 - Attack Indicator Detection
1:03 - Remediation and Outcomes

Key Quotes

0:07 "This is the power of DruAI's agentic intelligence, delivering an immediate autonomous forensic investigation."
0:33 "The result is not a data dump, it's an actionable investigation report."
1:15 "Shift from manual log correlation to autonomous intelligent investigation."

FAQ

How does DruAI Deep Analysis reduce investigation time from days to minutes?

DruAI uses agentic AI to autonomously break down investigation tasks, connect millions of data points, and correlate evidence against the MITRE ATT&CK framework. Instead of requiring manual log correlation and analysis, security teams can initiate comprehensive forensic investigations with a single natural language prompt, receiving actionable investigation reports rather than raw data dumps.

What types of attack indicators can DruAI Deep Analysis detect?

DruAI identifies attack chain indicators across the MITRE ATT&CK framework, including persistence tactics like off-hours privileged account creation, privilege escalation patterns such as rapid-fire account modifications via automated tooling, and impact-stage activities like unprecedented disaster recovery failovers and deletions. The system flags anomalies that manual review might miss and maps them to specific attack stages.


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