Deep-dives on protecting sensitive data when your team uses ChatGPT, Claude, Gemini, and Copilot.
How AI DLP differs from classic DLP, why prompt-time interception matters, and what to look for in a product.
A practical playbook for governing AI usage without blocking productivity - proxy-based redaction, employee comms, and rollout phases.
What each provider stores, how training opt-outs work, and where the real exfiltration risks sit.
Browser extensions, network proxies, and device-level agents are the three AI DLP architectures. What each catches, what each misses, and how to pick.
Twelve evaluation questions covering coverage, detection layers, latency, compliance, and pricing - so you can compare AI DLP vendors apples-to-apples.
What India's Digital Personal Data Protection Act requires when employees use third-party AI services.
