We are proud to share that Matters.AI has been awarded the “Best AI-Driven Data Security Platform” at the CXO Cybersecurity Conference and Award Ceremony 2026.
The recognition means a lot to us. But what stayed with us long after stepping off the stage was not the trophy. It was the conversations.
This was not an event driven by surface-level optimism. It was a room full of CISOs and security leaders trying to solve a structural problem. The energy in the room reflected a clear shift in mindset. The focus was not on adding another tool. It was on rethinking how data is governed in a world where it never sits still.
The Question that Framed the Day
One panel in particular defined the tone of the conference. Titled “DPDP Act: From Consent to Control – Redefining Data Governance and Privacy in India”, the discussion centered on what enforcement of the Digital Personal Data Protection Act really means for enterprises.
As DPDP moves from policy to operational reality, compliance is no longer about documentation. It is about demonstration. Organizations are being asked to prove that personal data is continuously governed as it moves across systems, teams, and workflows.
That shift changes the security conversation entirely.
Throughout the day, our team, including Pradeep Bankapur, Rutika Shenoy, and Vishwesh Hegde, spoke with CISOs who shared a common challenge. They can identify where sensitive data originates. What they struggle with is tracking where it flows next.
In modern data environments, next can mean almost anywhere.
Data moves through analytics pipelines. It appears in dashboards. It is cloned into development environments. It is reused in AI training workflows. Every transformation changes context. Every reuse introduces potential exposure.
These were not theoretical concerns. They were operational realities that security leaders are dealing with daily.
The Shadow Data Moment
During the panel, Pradeep captured what many in the audience were already thinking.
“Organizations cannot meaningfully protect what they do not know exists”, he says. It was a simple statement, but it resonated deeply.
Encryption and access controls remain foundational. No one disputes that. But those controls primarily answer who can access a system. They do not explain how data behaves once access is granted. They do not track how information is joined, enriched, copied, or propagated across interconnected environments.
This is where shadow data begins to emerge. Not because of malicious intent, but because modern systems are complex and deeply integrated. Sensitive data can quietly expand beyond its original boundaries.
Under DPDP, that expansion is no longer just a technical concern. It is a measurable compliance risk.
A Checkpoint for the Industry
CXO Cywayz Cybersecurity Conference 2026 felt less like a celebration of innovation and more like a checkpoint in the industry’s evolution.
The conversation has moved beyond access control. It is now centered on data flow, transformation, and behavioral risk. As AI adoption accelerates, the blast radius of unmanaged data grows. Governance models must evolve to keep pace.
For us, the award was validation of the direction we are taking. The discussions throughout the day were confirmation that the problem we are solving is real, urgent, and shared across industries.
The shift from consent to control is no longer aspirational, it is operational.
And we remain committed to building the clarity and control organizations need to protect what matters.
FAQs
What makes Matters.AI different from traditional data security solutions?
Unlike conventional approaches that rely on static rules and periodic scans, Matters.AI employs AI-native technology for real-time data protection. The platform continuously monitors data movement and applies contextual understanding to identify risks as they emerge, rather than after damage has occurred.
How does the platform handle shadow data discovery?
Matters.AI’s advanced detection capabilities automatically map sensitive information across cloud environments, SaaS applications, and hybrid infrastructures. The system identifies previously unknown data repositories and classifies content based on sensitivity levels without requiring manual configuration.
What recognition criteria do industry awards typically evaluate?
Leading cybersecurity awards programmes focus on innovation, effectiveness, and real-world impact. The CXO Cywayz Cyber Security Conference Chennai evaluate solutions based on their ability to address emerging threats, demonstrate measurable security improvements, and provide scalable protection for enterprise environments.
Can the platform integrate with existing security infrastructure?
Yes, Matters.AI is designed for seamless integration with current security stacks, providing enhanced data visibility without disrupting established workflows or requiring extensive infrastructure changes.
