Building Proactive Data Defense for AI-Driven Attacks

In this episode, Shivendra Sharma joins Alamgir Shahabadi to talk about what they're seeing in the real world when it comes to data security. The discussion covers why many organizations still struggle to answer basic questions about their data, why DLP alone is no longer enough, and how seemingly harmless actions can create unexpected security exposure.They also discuss the growing excitement around AI assistants and copilots, and why there is a difference between an AI platform being safe and an organization using it securely. Just because an AI tool has guardrails doesn't automatically mean your data is protected.If data security still feels like a compliance exercise in your organization, this conversation may change the way you think about it.Key TakeawaysWhy attackers are targeting data differently in the AI eraThe challenges of relying only on traditional DLP controlsHow everyday employee actions can create hidden security risksWhy AI assistants introduce new data security considerationsThe difference between AI safety and data securityWhy visibility into data usage matters more than everThe importance of measuring data security through meaningful KPIsPractical ways to build a more proactive data security strategy