With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations ...

Data security solutions identify unusual data movement and exfiltration attempts early, potentially mitigating the breach’s ...

Despite the headlines, most enterprise AI use cases remain in experimental or pilot phases. An LLM-based chatbot or an ...

To reduce the threat of model loss, synthetic data corruption and insight erosion, CXOs must create a new class of "AI-aware" ...

As artificial intelligence adoption accelerates, so do concerns around effective data governance — and nowhere is that truer ...

Enterprises rely on browser-based GenAI, increasing data-exposure risks and demanding strict policies, isolation, and ...

Integrating ADR into TRAIGA’s investigative phase represents more than an administrative convenience; it signals a mature ...

The Snowflake-Anthropic $200M deal brings Claude agents to governed data. Baris Gultekin on trust, real-world impact, and why ...

Intentional governance, process redesign, change management and data strategy all must be addressed to achieve optimal ...

Employees are using AI tools every day — often without IT oversight — and it’s quietly putting sensitive business data at ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

With only 11% of organizations reporting comprehensively organized and accessible data for AI applications, data readiness ...