ANKUR PATIAL,
SR. SOLUTIONS ARCHITECT,
VARONIS
Despite significant investments in cybersecurity technologies over the years, data breaches continue because attackers have shifted their focus from breaking into systems to exploiting legitimate identities. Once credentials are compromised, attackers can often access sensitive enterprise data without triggering traditional security controls. At the same time, the growing use of cloud collaboration platforms has expanded the 'blast radius', making it essential for organisations to understand where their sensitive data resides, who has access to it and whether those permissions are still appropriate.
The rapid adoption of AI has further increased the importance of data security. AI systems inherit user permissions and can surface information across multiple repositories much faster than humans, which makes strong data governance a prerequisite for responsible AI adoption. Many organisations remain cautious
about deploying enterprise AI because of concerns around overexposed data, shadow AI, limited visibility and the shortage of specialised security skills required to manage these environments effectively.
At Varonis, we believe organisations should secure their data before accelerating AI adoption. Our focus is on helping customers gain visibility into their data, identify excessive access, automate remediation and detect abnormal user behaviour through behavioural analytics. By combining data-centric security with AI visibility, automated remediation, guardrails and governance, organisations can reduce risk and confidently accelerate AI adoption, recognising that successful AI deployment begins with securing the underlying enterprise data.
