AI agent

8 Skills You Need To Manage The New AI Agent Workforce

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AI agents are becoming vital, autonomous co-workers and are transforming how businesses operate. To manage this AI-powered workforce, professionals must master eight key skills: (1) strategic thinking, (2) AI literacy, (3) responsible AI use, (4) workflow design, (5) strong interpersonal skills, (6) change management, (7) data governance, and (8) continuous learning. These human-centric skills help ensure that agents support business objectives, encourage responsible AI use, foster a positive workplace, and maintain a focus on upskilling, keeping organizations adaptable and competitive.

https://www.forbes.com/sites/bernardmarr/2025/12/09/8-skills-you-need-to-manage-the-new-ai-agent-workforce/

Splunk CISO on the Promise and Risks of Agentic AI

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Splunk's CISO, Michael Fanning, discusses agentic AI's dual nature in security. While it enhances efficiency by automating tasks, it also introduces new complexities and risks. Key shifts include moving to proactive security, ensuring AI aligns with secure principles, and improving communication between technical and executive teams. Balancing innovation with safety, particularly in a rapidly evolving threat landscape, remains a significant challenge for CISOs.

https://www.frontier-enterprise.com/splunk-ciso-on-the-promise-and-risks-of-agentic-ai/

Vertical AI Development Agents Are the Future of Enterprise Integrations

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Vertical AI development agents outperform generic coding tools in enterprise integration by providing higher accuracy, better governance, and more predictable outcomes. They are specially designed for EAI and iPaaS environments, enabling quicker, error-free integrations while maintaining compliance and quality standards. Their single-shot task execution simplifies developer workflows, reducing rework and enhancing delivery consistency. Organizations adopting these agents report improved integration quality and efficiency, marking a shift towards specialized AI in enterprise applications.

https://www.cio.com/article/4101810/vertical-ai-development-agents-are-the-future-of-enterprise-integrations.html

Amazon’s New AI Can Code for Days Without Human Help. What Does That Mean for Software Engineers?

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Amazon announced “frontier agents,” advanced AI systems capable of autonomously coding for hours or days, at its re:Invent conference. These agents—Kiro for software development, AWS Security Agent for security, and AWS DevOps Agent for IT operations—aim to automate the entire software development lifecycle with persistent memory, independent decision-making, and collaborative capabilities across tasks. Unlike existing tools, frontier agents learn from ongoing projects and can manage multi-repo changes simultaneously. While concerns about job impacts arise, Amazon emphasizes these tools enhance rather than replace human engineers, encouraging new practices and faster project completions. The company believes these agents can be applied beyond coding to various fields.

https://venturebeat.com/ai/amazons-new-ai-can-code-for-days-without-human-help-what-does-that-mean-for

How CIOs Feel Agentic AI Has Changed Their Roles

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CIOs believe agentic AI enhances their roles, boosting communication and leadership skills. 61% report improved abilities, with over half enhancing storytelling and change management skills. Salesforce CIO highlights AI's role in complementing work, while over 60% of CIOs feel ahead in AI implementation. Building trust in AI is essential for staff adaptation.

https://www.itbrew.com/stories/2025/11/17/how-cios-feel-agentic-ai-has-changed-their-roles

Compliance for AI Agents: What Financial Services Organizations Need to Know

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AI compliance in financial services is crucial yet complex, as AI's rapid integration necessitates adherence to stringent regulations. Key legislation includes GDPR, SOX, GLBA, and the EU AI Act, mandating data protection, transparency, and auditability. Financial firms must ensure AI agents uphold privacy, avoid bias, and comply with evolving laws. Effective governance involves continuous monitoring and education, promoting responsible AI innovation while mitigating risks associated with excessive data access and opaque decision-making. Robust compliance enhances customer trust and innovation potential in the financial sector.

https://www.bankingexchange.com/news-feed/item/10465-compliance-for-ai-agents-what-financial-services-organizations-need-to-know?Itemid=256

How Agentic AI Could Turbocharge Fraud

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Agentic AI could revolutionize online shopping but poses significant fraud risks. Payments professionals at Money 20/20 expressed concerns that criminals might exploit AI to execute scams more effectively. Programs like FraudGPT, available for subscription, could escalate fraud incidents by automating scams and creating synthetic identities. Executives highlighted challenges in verifying AI-driven transactions and the need for robust authentication processes to combat fraud as agentic AI technology becomes prevalent.

https://www.paymentsdive.com/news/how-agentic-ai-could-turbocharge-fraud-payments/804562/

Zero Trust Has a Blind Spot—Your AI Agents

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AI agents gain autonomy, raising trust issues in Zero Trust models as they often lack identifiable ownership and governance. Security risks emerge from “orphaned agents” with unchecked permissions, violating Zero Trust principles. To enhance security, organizations should apply NIST's AI Risk Management Framework with an identity-centric approach, ensuring every AI agent has a unique identity, defined owner, and lifecycle management. This redefines agentic AI from a risk to a governable entity, establishing trust through accountability and oversight.

https://www.bleepingcomputer.com/news/security/zero-trust-has-a-blind-spot-your-ai-agents/

Agentic AI Without Context Will Break Your Business

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Companies must establish a “system of context” to ensure AI agents make informed decisions based on accurate data, avoiding potential significant errors that could arise from poor data management. This requires a strong enterprise data foundation that provides comprehensive insights and enables AI to operate effectively, minimizing risks and enhancing decision-making.

https://www.cio.com/article/4065038/agentic-ai-without-context-will-break-your-business.html

Why I’m Betting Against AI Agents in 2025 (Despite Building Them)

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Summary: Author Utkarsh Kanwat, with experience in building 12+ AI agent systems, argues against the 2025 hype surrounding autonomous AI agents. He highlights three critical issues: compounded error rates in multi-step workflows, quadratic token costs in long conversations, and challenges in designing effective feedback systems. Successful AI systems rely on discrete operations with human oversight, rather than striving for full autonomy. Predictions indicate that fully autonomous agent startups will face economic challenges, while teams creating bounded, domain-specific tools will succeed. The future of AI will involve leveraging human control alongside AI capabilities, diverging from current hype.

https://utkarshkanwat.com/writing/betting-against-agents/

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