Tag: aigovernance
5 articles
Pentagon CTO Plans AI on Every Desktop in 6–9 Months
The Pentagon’s CTO is racing to put generative AI on every analyst’s desktop in 6–9 months — a bold push to turbocharge productivity that also forces a high-stakes balancing act between speed, security, and governance. Emil Michael is rethinking DoD strategy to try to pull off that pivot without hobbling operations or exposing secrets.
AI-capable workforce: Stunning Best Practices
At the AIX Summit, technologists, agency leaders and vendors wrestled with the real challenge of scaling AI in government—not just the tools, but the people, policies and protections that make deployments safe and effective. Three practical takeaways emerged—hire hybrid-skilled teams, build layered governance for agentic systems, and make security and workforce resilience non-negotiable—offering an immediate roadmap for moving from pilots to production.
Autonomous AI: Exclusive Must-Have Safety After Risky Stall
Gartner’s latest research shows enterprises are hitting the brakes on autonomous AI—only a tiny fraction plan to deploy agents—making this a crucial moment to prioritize safety, governance and human oversight. It’s an opportunity to build systems that are not just smart, but trustworthy and secure before handing them more control.
Agentic AI: Must-Have Efficiency, Risky Governance
Overstretched federal IT teams are piloting agentic AI — systems that can take initiative to automate help‑desk tickets, procurement steps and incident response — promising to cut weeks off workflows and free staff for higher‑value work. But those efficiency gains come with real governance, security and accountability questions that agencies must solve before scaling.
AI risk management: Must-Have Essential Certification
ISACA’s new AAISM certification equips security leaders with practical skills to spot, govern, and mitigate AI risks as organizations race to adopt generative models. By turning AI-specific hazards into actionable controls and a shared language across teams, it aims to move businesses from reactive firefighting to proactive, auditable AI governance.