Cyber resiliency is crucial for data protection and recovery in the face of increasing cyber threats, especially when working with applications at scale.

Security efforts have focused on detecting and preventing threats, but incidents often occur due to unaddressed vulnerabilities, unpatched applications and network weaknesses, leading to intruders gaining access, according to Jaspreet Singh (pictured), founder and chief executive officer of Druva Inc. Druva offers a software-as-a-service model for managing data and risk, emphasizing the importance of cloud for just-in-time scaling and predictive security in cybersecurity.

“We launched the first cloud offering about 10 years ago, and we’re consistently following and growing footprint around a very SaaS-oriented way to manage data and manage all aspects of risk around it,” Singh said. “We are the only one pure play true to our cause and delivering customers the outcome they want and not one more tool in the arsenal to manage motorists.”

Singh spoke with theCUBE industry analysts Dave Vellante and John Furrier at the Cyber Resiliency Summit, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed that the key to cybersecurity resilience is not just in buying more tools or focusing on network and vulnerability management, but in operationalizing the tools and setting up data as a competitive advantage. (* Disclosure below.)

Decentralized data

Artificial intelligence is crucial for managing security and data, and cloud architecture is becoming increasingly important for general-purpose AI deployment, according to Singh. Practitioners are facing discovery challenges in setting up next-gen architecture for data as a competitive advantage.

Data is becoming more decentralized with the deployment of cloud and edge services. While centralized data management and security are necessary for better understanding, breach notification and risk assessment, AI can help with managing IT and data stack tasks. Druva delivers value to organizations by automating manual tasks, launching Dru AI to analyze logs and provide recommendations and providing high-fidelity data for businesses’ gen-AI efforts, according to Singh.

“The broader the cloud gets to the edge and the other domains, the handling of data gets more error-prone,” he said. “This is where a lot of AI-oriented systems can make or bring automation at the same time and can help solve these long-tail problems of managing information.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Cyber Resiliency Summit:

(* Disclosure: TheCUBE is a paid media partner for the “Cyber Resiliency Summit.” Neither Dell Technologies Inc., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE