AI Governance: Managing Risk and Control in the Age of AI Recap A recent Enterprise Security Weekly podcast session, hosted by Adrian Sanabri, Principal Researcher at the Defenders …
Data continues to be important for modern organizations. It must be stored securely and managed properly, all the while ensuring that it is easy to access and use. …
What is Identity Governance and Administration (IGA)? Your business data faces the risk of breaches and unauthorized access, and you need to have safeguards against these risks. Part …
Artificial intelligence (AI) is transforming industries, empowering organizations, and reshaping how we work and live. But as AI becomes more pervasive, so do the ethical challenges it presents. …
The Emergence of Agentic AI Governance Artificial Intelligence (AI) has evolved rapidly, demanding new governance frameworks that balance innovation with responsibility. Traditional governance models rely on static policies …
Organizations face mounting pressure to establish consistent governance across their data and AI assets. Meeting these complex requirements while enabling innovation challenges even the most sophisticated enterprises. In …
Artificial intelligence is not just a buzzword—it’s the driving force behind transformative change in virtually every industry. From healthcare to finance, retail to manufacturing, AI is at the …
What is the AI Lifecycle? The AI lifecycle encompasses the complete process of developing and deploying artificial intelligence systems. It starts with data collection and moves through stages …
Data Privacy Governance Best Practices: A Comprehensive How-To Guide for Privacy Leaders In an era where data breaches and privacy concerns dominate headlines, effective data privacy governance is …
The Basel Committee on Banking Supervision (BCBS) introduced BCBS 239, a regulatory response to the 2008 financial crisis. The interdependence between global systemically important banks (G-SIBs) highlights the …