With the rise of cyber attacks, organizations continue to struggle to meet aggressive goals for recovery and remediation time. Many approaches to threat intelligence and incident response can inadvertently tax production systems and still lead to long remediation times. In the worst case scenario, the inability to detect threats over time can also lead to threats that go uncaught and cause significant regulatory and financial impact.
A new approach to cyber defense leverages advanced scanners and machine learning algorithms to interpret data, spot suspicious patterns and enable your organization to understand when, where, and how adversaries have potentially impacted systems.
The result: faster identification of compromise, faster investigations, and faster remediations.
Join this webinar and learn:
- How a modern data observability solution can interpret massive amounts of data in backup systems to detect and analyze patterns that look like a cyberattack
- How a holistic data observability engine can reduce your mean time to remediation in the event of a cyberattack
- How data observability is critical to keeping data safe and recovering faster