Why enterprises struggle to trust AI data
In the AI era, cybersecurity and data resilience strategies are undergoing a structural reset. Traditional security frameworks, built for predictable systems and human-led interactions, are increasingly being challenged by AI-driven environments where autonomous agents, unstructured data, and machine-generated decisions are becoming central to enterprise operations.
The larger concern now revolves around trust, whether the data feeding AI systems is reliable, whether autonomous systems can be governed responsibly, and whether enterprises can maintain resilience in increasingly fragmented, multi-cloud environments.
In an interaction with Express Computer, Sandeep Bhambure, MD and VP – India and SAARC, Veeam, discusses how AI is fundamentally altering cyber resilience priorities, why enterprises are struggling with fragmented trust architectures, and how governance, observability, and trusted data ecosystems are becoming critical in the AI era.
AI is forcing enterprises to rethink traditional security models
According to Bhambure, the rise of AI and autonomous systems is disrupting long-established security...
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