AI & Cyber Resilience: How to use AI responsibly

As companies race to implement AI solutions, large quantities of their proprietary information and data are likely to transit the cloud - an efficient but consequential route. The cloud, which may not be a secure channel for proprietary data, will invite broader access to internal information. One result is that anyone can embed this proprietary data into their own model, where the companies that own the data can’t control it. And without control over their data, it will be harder than ever for these companies’ cybersecurity teams to stop attacks at the point of initial access. 

To protect their proprietary information as they pursue AI solutions, and to work safely with those solutions, companies need robust data security. The best way to keep their data truly resilient is to fight fire with fire: use AI-enabled solutions to combat AI-enabled threats.

Here’s how we fight fire with fire at Rubrik.

AI & DPSM for threat detection

For the past decade, Rubrik has been working with AI. In fact, we built our Data Threat Engine, which we’ve had in place for over four years, on an AI foundation.

Our Data Security Posture Management (DSPM) is one of our latest  solutions that enable data security for AI. DSPM is a powerful approach to not only protect companies’ data but also align with responsible AI practices. Unlike traditional security measures, DSPM is data-centric, and gives you visibility into sensitive data and what is going on with it, across multi-cloud environments and even SaaS applications. 

And with our acquisition of Laminar, Rubrik has market-leading breadth of DSPM capabilities across on-prem, SaaS, and cloud. Why is this important? DSPM’s data classification and access governance capabilities are key to the success of any AI tool because it enables you to prevent sensitive or restricted data from embedding into your AI, and leaking out to unintended or hostile parties.

The Rubrik DSPM advantage

Rubrik DSPM provides data security for AI in the following ways:

• It provides visibility into the datasets that LLM models leverage by assessing content sensitivity. With this transparency, you know exactly what’s going into your model.
• It monitors data access & governance, so that you can control exactly who can view and manipulate critical, secure data.

By building in much-needed visibility over the data that AI systems consume and thus enabling customers to prevent inadvertent data exposure during model training and deployment, Rubrik DSPM empowers customers to use AI while protecting their data. 

Responding to breaches with AI

In addition to detecting threats, Rubrik’s AI technology is also instrumental in responding effectively to breaches. In fact, Rubrik was one of the first companies to announce a generative AI agent, Ruby, whose purpose is to help customers of all levels of cyber expertise quickly remediate and recover from cyber attacks. 

Ruby is a Generative AI-powered data defense and recovery agent that enables customers to quickly take action in response to attacks. As soon as a threat is detected by Rubrik’s Anomaly Detection, Ruby presents interactive guidance and recommendations to swiftly isolate and recover the infected data. And at less than 1 year old, Ruby will only grow more effective as we update the technology with more skills over time to automate and simplify cybersecurity.

As AI becomes more sophisticated and more embedded into everyday processes, companies need effective protection for their valuable proprietary data. 

That’s where Rubrik comes in - ahead of the curve. By building and deploying cutting-edge AI-powered solutions, we’re protecting companies’ most sensitive asset: their data.

That’s how we help you fight fire with fire.