Category: Infosec
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Data Privacy Week Is Over. Now Comes Leadership Accountability
Data Privacy Week highlighted the urgent need for organizations to prioritize data privacy, security, and governance, especially as AI adoption grows. Significant breaches and increasing lawsuits underscore this urgency. Executives must recognize that data safety is a collective responsibility, requiring cross-departmental collaboration and proactive measures to mitigate risks and enhance customer trust.
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50+ Expert Predictions: Ways to Drive Agentic AI, Data Governance, and Security in 2026
50+ experts, including 15 CEOs and 10 CIO/CTOs shared their agentic AI predictions for 2026. Expect CX, AI Security, data governance, and leadership to be major drivers of reshaping businesses – but only a few companies will truly transform.
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3 Breakthrough Capabilities Uniting IT Ops, SecOps, and Data Governance
IT Ops, SecOps, and data governance teams face challenges as AI integration accelerates. At recent conferences, Collibra showcased data catalogs as centralized products, Tanium introduced zero-trust admin access with Jump Gate, and Commvault emphasized seamless multicloud recoveries. These innovations promote collaboration, address operational gaps, and enhance organizational resilience.
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Courage to Adapt: The 20+ Leadership Hats CIOs, CISOs, and CDOs Wear
CIOs, CISOs, and CDOs must embody over 20+ distinct leadership roles to effectively adapt to varying scenarios. This includes responsibilities as visionary leaders, problem solvers, and crisis managers. Successful C-leaders develop situational awareness, balancing innovation with team support, and continuously navigating complex challenges in technology and organizational dynamics.
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Modernizing How to Make Smarter Technology and AI Investments
Organizations need to reevaluate their technology and AI investment processes to avoid slow consensus or impulsive procurement. CIOs should focus on outcomes over features, ensuring alignment with business goals and security. Streamlining evaluation and procurement phases will aid effective technology selections, supporting agile testing and integration for transformative results.
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Chief AI Officer (CAIO) or CIO Evolution? Uplifting AI Leadership
Do organizations need a chief AI officer (CAIO)?, or should CIO, CDO, and CISO handle AI strategy? The CIO’s role in leading AI initiatives, promotes collaboration among C-level leaders, including the CDO and CISO, and adding CAIOs may complicate decision-making. Experts offer differing views on the necessity of CAIOs.
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10 Important Data Management Questions for CIOs in the GenAI Era
Navigating the complex landscape of data management platforms is increasingly challenging, with numerous solutions for pipeline monitoring, data governance, and AI integration. Experts emphasize the need for automation, robust governance, and trust in data to ensure efficiency and mitigate risks. CIOs must prioritize these areas to optimize data utilization and AI applications.
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7 Ways Gen AI Drives Outcomes: Help Employees With Work They Couldn’t Easily Do Before
Gen AI drivve outcomes by enhancing employee capabilities rather than solely being viewed as a productivity tool. Its true benefit lies in enabling complex tasks, improving customer insights, enhancing call center performance, simplifying compliance, and facilitating data analysis. Ultimately, Gen AI empowers employees, driving significant business outcomes alongside productivity gains.
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25 Emerging GenAI Roles to Boost HR, Tech, and Security Careers
Organizations seek new roles like AI Change Agents, GenAI Business Analysts, and AI HR Coaches, emphasizing the need for skills development and lifelong learning in the evolving job market. StarCIO’s 25 GenAI emerging roles include AI Career Developers, AI Security Architects, and AI Agent Developers.
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Data Privacy Week: How Every CIO and CDO Must Take Control of Their Data
Data Privacy Week 2025 emphasizes the theme “Take control of your data.” Organizations are urged to enhance data governance and security in light of increasing risks from breaches and regulations holding leaders accountable. Key areas to focus on include human factors, data security, and AI governance to mitigate risks effectively.
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Avoid a Nightmare: 10 Important DevSecOps Practice Non-Negotiables
CIOs establish DevSevOps non-negotiables to shape organizational culture and governance, aimed at balancing development agility with security and operational stability. Key non-negotiables include balancing backlogs, defining user needs, ensuring security by design, standardizing production paths, fostering collaboration, reviewing software components, preventing shared access, prioritizing security training, continuous testing, and addressing team burnout.
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20 Expert Gen AI Predictions for an Ambitious 2025
Discussions with leaders from vtech companies focused on CIO’s gen AI expectations for 2025, highlighting the shift towards pragmatic AI applications amidst fading LLM hype. Key predictions include the rise of agentic AI, increased focus on data privacy, and the need for effective change management to support innovation and employee engagement.