Accelerate Cyber Recovery with Incident Response, Threat Intelligence, and Cleanrooms | SHIFT 2025

Описание: At SHIFT, Commvault product leaders Dave Cunningham and Dinesh Reddy walk through how to accelerate cyber recovery by unifying incident response, threat intelligence, clean recovery points, synthetic recovery, and on-demand cleanrooms—all within the Commvault Cloud platform.

This session explains why traditional recovery plans fail in modern cyber incidents, how siloed IT and security teams increase recovery risk, and what organizations must implement to confidently recover from ransomware or advanced threats. Dave and Dinesh demonstrate new capabilities including synthetic recovery, clean point detection, AI-driven threat scanning, SOC integrations, and automated cleanroom orchestration across AWS, Azure, and on-prem.

What You’ll Learn
Why organizations lack confidence in cyber recovery—and what NIST’s resilience framework really requires
The 97% higher risk of recovery failure without regular testing
How IT/security silos and fragmented stacks delay response and increase MTTR
The difference between traditional DR and true cyber recovery (malice, reinfection, trust, clean data)
How clean point detection identifies the last known good recovery point
How Commvault uses malware engines, ML, AI encryption models, YARA, and SOC signals
What synthetic recovery is—and how it minimizes rollback
How cleanroom recovery works: isolation, repaving, validation, and promotion to production
How threat detection dashboards correlate anomalies, partner signals, and malware insights
End-to-end readiness: scanning → clean point → cleanroom → validation → clean production recovery

Chapters:
00:00 Introduction to Cyber Resilience
03:04 Understanding Cyber Recovery Challenges
05:55 The Role of Threat Intelligence in Recovery
08:36 Innovations in Cyber Recovery Solutions
11:50 Cleanroom Recovery Explained
14:34 Integrating Threat Detection and Recovery
17:11 Creating Recovery Groups and Run Books
20:25 Executing Cleanroom Recovery
23:03 Monitoring and Validating Recovery
25:48 Final Thoughts on Cyber Resilience

TL;DR
A deep dive into Commvault’s cyber recovery architecture—covering threat detection, clean point identification, synthetic recovery, and automated cleanroom orchestration—showing how organizations can accelerate incident response, validate data safely, and return to production with minimal data loss.

Key Takeaways
Traditional DR alone is not enough for ransomware and modern cyber incidents
Confidence in recovery comes from testing, validation, and automation, not just backups
Clean data matters as much as fast data—recovering infected backups simply reinjects risk
Synthetic recovery helps you keep more recent data while still avoiding known threats
Cleanrooms provide a safe place to repave, validate, and test before going back to production
Unified threat intelligence + recovery orchestration = faster MTTR and fewer surprises during an incident

Who Is This Session For?
CIO
CISO
CTO
IT Ops & Infrastructure Leaders
SOC & Incident Response Teams
Cyber Resilience & Data Protection Leaders
Security Architects
Cloud & Platform Engineering Teams

FAQ
Q: Why do organizations struggle with cyber recovery confidence?
A: Because most have never fully tested their recovery processes, lack clean data verification, and operate with siloed security and IT teams.

Q: What makes cyber recovery different from traditional DR?
A: Cyber recovery assumes malice: data may be corrupted, encrypted, or infected. You must validate backups, test in isolation, and avoid reinfection.

Q: What is a clean recovery point?
A: It’s the last known good version of data identified through malware scanning, encryption detection, anomalies, and partner threat signals.

Q: What is synthetic recovery?
A: A method that composes a clean recovery point from the latest backups by stitching together good file versions—minimizing rollback and maximizing data preservation.

Q: Why use a cleanroom for recovery?
A: To validate, repave, and test applications in an isolated environment before promoting them into rebuilt production—ensuring no malware is reintroduced.

Q: How does Commvault integrate threat intelligence?
A: Through ML-driven anomaly detection, signature engines, AI encryption models, YARA and hash scanning, and SOC integrations such as CrowdStrike, Netskope, and Darktrace.

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