Your daily source for AI news, tools reviews, and practical guides to artificial intelligence
Commvault launches AI Protect, a new solution enabling enterprises to monitor, control, and rollback autonomous AI agent activities across major cloud platforms, addressing critical governance and security challenges.
IBM emphasizes that as AI becomes foundational infrastructure in enterprises, investing in transparent and open governance is essential to manage risks, operational complexity, and costs effectively.
As the EU AI Act enforcement begins in August 2026, organizations deploying agentic AI systems face significant governance challenges. Ensuring traceability, human oversight, and compliance with strict regulatory requirements will be crucial to avoid penalties in high-risk AI applications.
Microsoft has introduced a new open-source toolkit designed to enforce strict runtime governance on enterprise AI agents, addressing the rapid execution and integration challenges posed by autonomous language models in corporate environments.
E.SUN Bank collaborates with IBM to establish a comprehensive AI governance framework aimed at managing risks and regulatory requirements as artificial intelligence expands its role in banking operations.
A Deloitte report highlights growing concerns as businesses rapidly adopt AI agents without adequate safety protocols, raising security, privacy, and accountability challenges.
A Deloitte report highlights that businesses are adopting AI agents faster than safety protocols can adapt, leading to significant concerns about security, data privacy, and accountability in real-world applications.
The ETSI EN 304 223 standard establishes essential security requirements for AI systems, clarifying responsibilities and enhancing protections against AI-specific risks as organizations increasingly integrate machine learning into core operations.