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Securing the Future of Enterprise AI: User-Friendly Gen AI
Could the most common target you have to protect—your data—also be your organization's most powerful defense?
That's a question that Jaspreet Singh, Founder and CEO of Druva, believes he has answered.
The company, powered by AWS, helps businesses secure and recover their data at scale with the power of generative AI.
"AI enables the customer to use the data—the power of it—to securely defend itself against third-party actors," says Singh. Druva's AI solutions empower businesses to stay ahead by automating security—allowing them to anticipate cyber events (and avoid them) while focusing on growth.
Closing the Gaps in Data Security
Historically, businesses had to maintain their infrastructure for data protection, a costly and complex task that left many potentially susceptible to failure. The Druva Data Security Cloud, a fully managed Software-as-a-Service (SaaS) solution, removes this complexity, allowing companies to focus on their core operations. "The biggest gap in customers' security posture isn't always a product or functionality; it's very often their own operational gap," Singh says.
To help close this gap, Druva automates critical data security processes, allowing businesses to focus on innovation rather than manual upkeep.
The company's platform extends across multiple environments, offering solutions such as remote and branch office backup, end-user protection, and cloud incident recovery.
Whether an organization operates across global regions or supports remote work, Druva makes certain its data is fully protected and always accessible, Singh states.
The company's layered approach to data security provides immediate security expertise to stakeholders, helping businesses to respond swiftly and minimize risks and damage.
Driving Innovation at the Speed of AI
Singh credits much of Druva's ability to innovate rapidly while maintaining high levels of security to its work with Amazon Bedrock.
"The Bedrock partnership has been very transformative for Druva. AWS allows us to experiment and move the needle faster," he says.
Bedrock enables Druva to quickly scale custom solutions for clients, allowing the company to integrate new technologies without sacrificing security.
"The flexibility of Bedrock in terms of multiple models, single APIs, and having different cost factors and performance factors for different use cases was what really made it feasible to solve problems at scale," Singh states.
Leveraging a powerful security infrastructure from AWS, Druva helps make it possible for businesses to meet their data security needs while innovating at a fast pace.
"AWS takes care of the progression of natural language models and security underpinnings, allowing us to focus on delivering value to our customers," he adds.
“Our goal was to build an interface that simplifies data security tasks for everyone,”
Building Resilience Through Gen AI
Druva's adoption of generative AI represents a pivotal shift in how businesses manage and protect data. Traditional AI models primarily focus on identifying anomalies.
Generative AI, on the other hand, offers a dynamic conversational interface that simplifies complex recovery tasks for all users.
Singh states that this AI-driven approach allows IT teams to focus on strategic initiatives rather than day-to-day data protection tasks.
With tools like Dru Investigate, which guides users to understand and address data risks, even navigating advanced Druva features becomes simple. This enables IT admins to work faster and smarter, he says.
"Our goal was to build an interface that simplifies data security tasks for everyone," he states. "Instead of going through hours of training to figure out the right actions, users can now interact with the system as if they were speaking to a human, and the system will guide them through the steps."
Fixing the Cracks: Fast Recovery from Data Breaches
Singh recalls that one client was a large contractor investigating an insider threat. The impact of a long-term compromise could have been devastating, so the company turned to Druva. "Typically, these investigations take months, but with Druva, they could query the data using generative AI and pinpoint suspicious actions in days." The ability to rapidly investigate and respond to incidents significantly reduces downtime and financial impact, he states.
“With Bedrock, we can fine-tune the model and solve security issues without exposing sensitive data.”
Building a Future-Proof AI Strategy
As businesses grow, they need solutions that scale alongside them. Druva's cloud-native platform is designed for flexibility and scalability, helping businesses to have the potential to expand without overhauling their systems.
"Bedrock enabled us to scale quickly and experiment with multiple language models, all while providing security and privacy for our customers," Singh explains.
That freedom to experiment with powerful language models through a single API allows Druva to innovate rapidly in response to customer needs. This adaptability is critical in today's fast-evolving cyber landscape.
"Public-facing models often lack the privacy and security that enterprise customers need," Singh says. "With Bedrock, we can fine-tune the model and solve security issues without exposing sensitive data."
Evolving to Meet Tomorrow's Challenges
"(Risks) will constantly evolve over time, and so will we, along with AWS," Singh states. "That's the whole notion of Druva as a North Star—we're always there for our customers and evolving with critical research and partnerships."
Druva, powered by Amazon Bedrock, provides businesses with the tools they need to build a resilient data strategy.
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Empower Your Enterprise with AI-Driven Innovation
Discover how to create intuitive, scalable solutions through Amazon Bedrock. Unlock the power of generative AI to transform your data security strategy, providing rapid recovery, seamless automation, and unparalleled resilience. Learn more about how Amazon Bedrock can empower your enterprise with AI-driven innovation.
