Autonomous AI agents are creating a new identity blind spot as they operate outside traditional IAM controls. Token Security ...

As organizations race to achieve outsized benefits from artificial intelligence (AI), CFOs must address a frequently overlooked driver of optimal AI returns: internal control structures. AI risk ...

Data security company Varonis Systems acquired AllTrue.ai for its AI trust, risk, and security management (TRiSM) solutions ...

While AI changes how businesses operate, its long-term value depends on building and maintaining discipline. Innovation without control creates chaos, but control without innovation leads to ...

Over recent years, cybersecurity executives have been tasked with an almost impossible Challenge: reduce headcount, ...

The strategic value lies not in automation alone, but in capacity release—freeing skilled teams to focus on judgement-driven, ...

As AI systems begin to act, enterprises face a new crisis: how to govern decisions, risk, and compliance in a world run by software. Agentic AI is a control problem, not a tooling upgrade. Without a ...

Cloud giants’ shift to ASICs for cost/performance efficiency makes production excellence a strategic ‘must have’Taipei, ...

For decades, public managers and CIOs have spoken of “managing change.” They designed workshops, built communication plans and rolled out initiatives with clearly defined beginnings, middles and ends.

As enterprises race to deploy agentic AI, a new fault line is emerging. The risk is no longer model accuracy, but whether organisations can actually run autonomy safely, predictably, and at scale.

Artificial intelligence is becoming an integral part of the systems that sustain daily life. Utilities use it to forecast energy demand, transportation networks rely on it to route traffic, and ...

Imagine students entering an academic building for a late-night study session. AI-powered sensors illuminate their path, ensuring safe passage and a welcoming environment. As they depart with midnight ...