Rubrik's AI-Powered Cyber Recovery Tool is Guiding VMWare Customers

By Alex Passett, Editor  |  September 01, 2023

This morning, I asked myself a question I hadn’t considered before:

“Is there a chance that any of our Cloud Computing readers are fans of ‘Breaking Bad’?”

This question wasn’t just for the sake of a good ol’ hypothetical, either – conveniently, it also ties into the following news coverage.

Just hear me out.

In “Breaking Bad,” there are two related episodes in the show’s third season titled “Half Measures” and “Full Measure.” And while they quite literally debuted 13 years ago, I am still inclined to keep this a spoiler-free news tie-in. So, here’s what I’ll say. Though those episodes’ plots certainly involve bleak themes, there is a productive takeaway here, all the same:

When able to (and when it’s deemed appropriate), go all in. No half-measure toe-dips in the shallow end. If real logic supports confidence (and, in real life, positive action), it’s an all-in affair. (Hell, even Nick Offerman’s Ron Swanson character from the beloved sitcom “Parks and Recreation” once echoed this.)

Two spur-of-the-moment pop culture references, sure, but they back this up in easily recognizable ways.

No half-measured approaches. Full measure. A full commitment, especially concerning how hard-working individuals and organizations should be kept safe from threats.

Thus, we circle back to Cloud Computing, and to news from cybersecurity company Rubrik.

Rubrik’s experts believe that, for today’s organizations to fight back against increasing cyber threats, a no-half-measures approach to the real-time data monitoring security holds the key. Organizations need tested methods for reliably securing and recovering data immediately, no matter where it is. That’s Rubrik’s goal for businesses, in terms of fortifying resilient cyber defenses (and overall cyber posture) in the cloud-everything digital age. Secure fully.

So, Rubrik has hopped aboard the artificial intelligence (AI) hype train and is utilizing it for good – that is, in the form of new generative AI capabilities for VMware customers through the new Rubrik AI-Powered Cyber Recovery tool. By leveraging generative AI and large language models (LLMs), this solution helps business admins, according to Rubrik, “navigate difficult trade-offs in the aftermath of a cyberattack to help minimize undue data loss and reduce downtime.”

Specifically, Rubrik AI-Powered Cyber Recovery empowers organizations to securely:

  • Enhance Recovery Point Objective (RPO) with the most recent data: Get step-by-step guidance to recover unaffected files from the most recent snapshot, as well as affected files from the snapshot prior to suspicious threat detection — all layered on top of a clean virtual machine built from a gold master template.
  • Eliminate malware reinfection risks with safer VM recovery: Identify vSphere templates to reconstruct clean and safe virtual machines and avoid introducing undetected vulnerabilities within the operating system.
  • Minimize application downtime with AI-enabled task lists: Recommendations on which snapshot or files to select for a clean and successful recovery, conveyed clearly through Rubrik’s data threat analytics integrated with Azure OpenAI.

“Cyberattacks can be highly unpredictable, and the complexity and sophistication of these threats make it challenging – if not impossible – for organizations to recover data quickly, safely, and with minimal data loss,” said Anneka Gupta, Chief Product Officer of Rubrik. “We understand that every minute counts when faced with a cyberattack, and our new Rubrik AI-Powered Cyber Recovery helps organizations fully take advantage of every second, empowering them to secure their data and to get their business-critical systems back up and running.”

As organizations continue their mission to secure the world’s data, generative AI is one big way to help customers unlock true cyber resilience more effectively.

Not “half-resilient,” as even typing it sounds flimsy.

Full measures. Full resilience.

Worth a shot, we’d say.

Edited by Greg Tavarez
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