AI

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

Rethinking the CIO-CISO Dynamic in the Age of AI

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Organizations are restructuring CIO and CISO roles in response to digital transformation, AI, and increasing regulations. CIOs are expected to rapidly implement AI while keeping IT goals aligned with business needs. CISOs face new risks and wider attack surfaces, especially from AI tools. Reporting structures can create conflicts, especially if CISOs report to CIOs, potentially reducing security’s influence. Some recommend CISOs report to CEOs or legal instead. Alternative C-suite roles, such as Chief AI Officer, are emerging, reshaping how CISOs fit within organizations. Smaller organizations may outsource security or combine roles. Overall, strong collaboration between CIOs and CISOs is critical as AI brings new, unpredictable risks.

https://www.govinfosecurity.com/rethinking-cio-ciso-dynamic-in-age-ai-a-30211

US, Allies Urge Critical Infrastructure Operators to Carefully Plan and Oversee AI Use

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US and allies issue guidance for critical infrastructure operators on safe AI integration, emphasizing risk assessment, governance, and operational safety protocols. They stress employee education, clear AI use procedures, continuous validation, and human oversight to mitigate AI risks in existing systems.

https://www.cybersecuritydive.com/news/ai-critical-infrastructure-government-guidance/807052/

10 AI Predictions For 2026: Top Experts Share New Trends

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The EU Commission, aiming to ensure smooth and predictable implementation of the AI Act, is preparing a comprehensive set of guidelines for 2026. These will offer practical directions on high-risk classifications, transparency, reporting obligations, quality requirements, responsibilities, and more. Special focus will be on simplifying research exemptions and clarifying legal overlaps, particularly for product development in medicines and medical devices. The Commission will also provide templates and direct support channels for stakeholders.

https://www.forbes.com/sites/bryanrobinson/2025/12/04/10-ai-predictions-for-2026-top-experts-share-new-trends/

CISA Publishes Security Guidance for Using AI in OT

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Global cybersecurity agencies released new guidance on safely deploying AI in operational technology systems, citing the high risks involved. OT is essential for critical infrastructure, and integrating AI can introduce risks such as model drift, safety bypasses, and process instability. Agencies urge thorough education on AI risks, a careful assessment of when to use AI, strong data controls, and transparent governance. Recommendations also emphasize the importance of monitoring and fail-safe processes, including human oversight. Experts note that while AI may enhance efficiency, its use in OT should be limited and highly disciplined, especially with high-risk models like large language models.

https://www.darkreading.com/cybersecurity-operations/cisa-publishes-security-guidance-ai-ot

An Interview With Atlassian CEO Mike Cannon-Brookes About Atlassian and AI

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Stratechery Interview: Atlassian CEO Mike Cannon-Brookes

Ben Thompson interviews Mike Cannon-Brookes, CEO of Atlassian, discussing the company's origins, growth, and innovation in software. Founded in 2002 with Jira as its first product, Atlassian emphasized cloud service and AI integration. Cannon-Brookes notes that their low-cost model and open-source approach facilitated rapid growth. The interview covers the company's journey, market strategies, and the influence of the dot-com era, highlighting their success in self-serve distribution and long-term customer relationships.

https://stratechery.com/2025/an-interview-with-atlassian-ceo-mike-cannon-brookes-about-atlassian-and-ai/

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

CIOs Grapple With Role Change Amid AI Influx

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CIOs report role evolution due to AI, with two-thirds emphasizing business outcomes and collaboration between humans and AI. Nearly half say responsibilities for business value have increased, but many struggle with managing cross-functional initiatives. Confidence among CIOs is growing as they embrace AI, yet only 15% are using fully autonomous AI applications. The demand for automated IT operations is rising, prompting increased vendor support in AI solutions.

https://www.ciodive.com/news/CIO-role-AI-adoption-c-suite/806992/

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