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Tag: agentic

5 articles

Agentic AI: Must-Have or Risky Revolution

Agentic AI: Must-Have or Risky Revolution

When software stops asking permission and starts setting its own goals, governments face a leap from helpful automation to powerful but risky agentic AI—promising faster services but raising urgent questions about accountability, oversight, and public trust.

Analyst 207
agentic AI Must-Have Defense: Risky Breach Guide

agentic AI Must-Have Defense: Risky Breach Guide

Forrester warns agentic AI could spark a major breach by 2026, so now’s the time for boards and security teams to treat agentic risk as design — not a checkbox — by locking down privileges, boosting observability, and baking in human-in-the-loop controls before autonomous agents can act maliciously at scale.

Analyst 207
Agentic AI: Essential, Risky Breakthrough for Government

Agentic AI: Essential, Risky Breakthrough for Government

Imagine AI that not only predicts or generates, but plans, acts, and coordinates across systems—speeding up casework, simulating smarter policy choices, and shoring up cyber defenses. These agentic systems could unclog backlogs and boost resilience — if agencies pair them with clear rules, rigorous testing, and strong accountability to keep decisions transparent and fair.

Analyst 207
Agentic AI: Must-Have Efficiency, Risky Governance

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.

Analyst 207
agentic AI: Must-Have, Risky Tool for Government

agentic AI: Must-Have, Risky Tool for Government

Agentic AI can turbocharge government services—speeding claims, coordinating complex workflows, and scaling scarce expertise—while also raising urgent questions about accountability, bias, and trust. Policymakers must balance innovation with auditable design, human oversight, and clear redress so these powerful tools serve citizens rather than undermine them.

Analyst 207