Druva-Enhances-Cyber-Recovery-with-Advanced-AI (1)
                     DRUVA · CYBER RECOVERY
Druva Enhances Cyber 
Recovery with Advanced AI
Evidence-Based Recovery for Enterprise Cloud Data
PLATFORM EXPANSION EVIDENCE-BASED CYBER RECOVERY
Druva Expands AI Intelligence
Its Cyber Behavioral intelligence 
and automated threat 
Resilience detection features.
Platform
AI Intelligence + Identity Resilience + Ransomware Detection
Evidence-
Based Cyber 
Recovery
Ransomware 
Detection Identity Resilience
Attack blast-radius Verified behavioral 
visibility and faster evidence during 
recovery to safe active incidents.
data states.
THE CORE CHALLENGE 01 02 03
Security teams THREAT SIGNAL DECISION
need evidence Threat Uncertain Recovery Risk
before restoring Increasing volume Signal Unverified backups can 
create recovery risk.
data and speed. Traditional signals may 
create false positives.
AI-driven threats move with 
increasing volume and speed. 
Administrative credentials and subtle 
file corruption can be targeted.
Active incidents can leave teams without complete visibility.
DRU METAGRAPH
EVIDENCE LAYER
Dru MetaGraph 
Users Permissions
connects identity 
Permissions Applications
and data 
intelligence Applications Policies
Policies System Changes
Maps relationships across user 
RESPONSE PATH
permissions, applications, access 
policies, and system changes. 1 2
Suspicious Activity Attack Path
3 4
Compromised Accounts Containment
Detects suspicious administrative actions and credential anomalies; reconstructs attack 
paths to help analysts isolate infected accounts and contain breaches.
BACKUP INTELLIGENCE 01 02 03 04 05
Backup Backup Behavior Forensic Ransomware Clean 
intelligence Snapshots Analysis Validation Confirmation Restoration 
can confirm Snapshot streams ML models Entropy, integrity, High-risk patterns
Point
MIME
Pre-infection target
ransomware 
activity
Continuous analysis flags 
high-risk data modification 
patterns and identifies pre-
infection restoration points.
Signals include mass file renaming, unusual extensions, and encrypted payloads.
THE DECISION SHIFT
Evidence changes recovery from guesswork to a 
decision
Evidence helps security teams make more informed recovery decisions during incidents.
UNVERIFIED RECOVERY EVIDENCE-BASED RECOVERY
Uncertain backup status Validated backup data
Incomplete visibility Behavioral evidence
Risk of restoring compromised data Identified affected objects
Recovery guesswork Containment steps and clean snapshot targets
FROM EVIDENCE TO ACTION
Threat evidence becomes a recovery blueprint
Backup telemetry shows what changed during an attack.
01 Threat Activity 02 Backup Telemetry
Observe the incident. Show what changed.
03 Behavior Analysis 04 Threat Validation
Identify patterns. Recommended containment steps guide response.
05 Recovery Blueprint 06 Clean Restoration
Pre-validated restoration plans identify affected objects. Clean snapshot targets guide restoration.
DETECTION IN DEPTH
Detection in SaaS Cloud Databases
depth spans Applications Infrastructure Continuous indicator-of-compromise scanning
hybrid and multi- Real-time user activity Data anomaly detectionmonitoring
cloud 
environments 01 02
Protection for enterprise SaaS Druva Cloud-Native Detection in Depth
applications, cloud infrastructure, Protection One protection layer across environments.
and databases.
Automated forensic validation
THE PROTECTED BASELINE
Machine-speed threats 
make immutable 
baselines more important IMMUTABLE DATA BASELINE
Reverse unauthorized system 
changes. Support compliance 
Governed, uncorrupted backup data supports operational continuity. requirements. Protect critical 
digital assets.
SOURCES
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