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Tag: agenticai

10 articles

State Dept CIO Pushes Agentic AI to Aid Employees

State Dept CIO Pushes Agentic AI to Aid Employees

State Department’s CIO is championing agentic AI to lighten employees’ workloads and boost productivity. Autonomous assistants will handle routine tasks so diplomats can focus on policy and people.

Analyst 207
Agentic AI’s OODA Loop Undermines Human Control

Agentic AI’s OODA Loop Undermines Human Control

John Boyd’s OODA loop—observe, orient, decide, act—won battles; today agentic AIs run that loop faster on messy data, creating accelerating decision cycles that can outpace and undermine human oversight.

Analyst 207
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
CometJacking: Risky Attack Exposes Data — Must-See Fixes

CometJacking: Risky Attack Exposes Data — Must-See Fixes

One click can turn your helpful AI into a sneak thief — CometJacking hides malicious prompts in links that trick Perplexity’s Comet into leaking email, calendar and connected data. Stay safe by updating clients, reviewing agent permissions, and avoiding unfamiliar links while these agentic AIs get harder to fool.

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
intelligent agents: Must-Have Tools, Best Safeguards

intelligent agents: Must-Have Tools, Best Safeguards

Agentic AI is helping governments speed up services and free staff from routine tasks, but success hinges on clear guardrails, transparency, and human oversight to protect trust and fairness. When agencies pair smart automation with strong governance and easy escalation paths, citizens get faster, fairer outcomes without sacrificing accountability.

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
PromptFix attacks: Must-Have Defenses vs Risky Threats

PromptFix attacks: Must-Have Defenses vs Risky Threats

Researchers warn of a new PromptFix attack that hijacks the prompts and data feeding agentic AIs, letting attackers steer, confuse, or corrupt assistants without touching the underlying models. As these agents enter everyday tools, layered protections like provenance checks, least‑privilege actions, and better monitoring are essential to keep them safe.

Analyst 207