In today’s Tech Pulse, gain insight into how:

• Organizations are transitioning from traditional GRC systems to AI-powered, continuous cyber risk management, boosting security and operational efficiency.

• Municipal IT leaders can drive legacy system upgrades by navigating budget constraints and fostering a culture of continuous digital innovation.

• The sports industry is leveraging digital transformation to enhance fan engagement through strategic integration of AI and robust data governance.

Each of these articles is penned by members of Forbes Technology Council, key luminaries shaping the future of technology leadership.

Grab your coffee, and let's dive in!

Transitioning to AI-Driven Cyber Risk Management: Beyond Traditional GRC

Traditional Governance, Risk, and Compliance (GRC) systems, designed for static compliance and periodic checks, fall short in today's dynamic cyber threat environment.

Cybersecurity demands real-time, adaptable strategies, particularly as cyber threats evolve and regulatory demands increase. Organizations now recognize the need to migrate from traditional GRC to AI-powered continuous cyber risk management.

Here’s all you need to know:

🌐 Inadequacy of GRC for Cybersecurity: GRC frameworks, developed for routine compliance, lack the agility to manage continuous cyber threats and fail to provide a comprehensive view of organizational cyber risks against sophisticated AI-driven attacks.

🔗 Financial & Operational Impact: With the cost of data breaches escalating, incremental and siloed cybersecurity improvements are insufficient. Organizations need actionable, real-time intelligence for effective decision-making and asset protection.

📊 Regulatory Demands Elevating Cyber Risk to Board Level: New SEC rules mandate greater board accountability for cybersecurity, requiring quantifiable, real-time insights into risk landscapes from security leaders.

🤖 Advantages of an AI-First, Automation-First Strategy

• Financial Perspective: Quantify cyber risks in financial terms to align with board-level communication.

• Real-Time Intelligence: Leverage AI to constantly evaluate threat data and vulnerability, providing dynamic risk assessments.

• Integration & Alignment: Break departmental silos by aligning security, risk, compliance, and business strategies, ensuring unified risk management.

📈 Ensuring a Smooth Transition & Showcasing Security ROI: Align internal stakeholders and choose supportive vendors. Highlight the financial benefits and enhanced decision-making capabilities to leadership through continuous AI-driven monitoring, optimizing resource use, and maximizing security investments.

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Driving Legacy System Upgrades in Municipalities: A Guide for Tech Leaders

Local governments frequently operate on outdated technology systems, posing significant cybersecurity threats and operational inefficiencies.

As shifts toward modernization are often met with resistance due to cost, disruption fears, and the comfort of the status quo, tech leaders within and outside government are critical in steering these essential changes.

Explore key insights below:

🛠️ High Maintenance Cost & Security Risks: Legacy systems, such as those from the 1990s, not only require substantial spending to maintain but also pose severe security risks. They lack integration capabilities with modern software, leading to inefficient manual data entry and increased error rates.

📄 Eliminating Paper-Based Bottlenecks: Many municipal processes still rely on paper, causing delays and user dissatisfaction. Shifting to digital processes and embracing automation can cater to the expectations of digitally savvy citizens.

🔓 Rethinking Safety with Modernization: Contrary to the belief that old systems are safer, outdated technologies can lead to catastrophic data breaches or system failures. Leaders must position modernization as a crucial step forward rather than a risk.

🔄 Overcoming Modernization Resistance

• Pilot Projects: Implement change incrementally to demonstrate benefits without overwhelming stakeholders.

• Clear Communication: Provide concrete data and benefits about the upgrades to gain buy-in.

💰 Budget-Friendly Modernization Strategies

• Phased Implementation: Avoid the financial burden of a complete overhaul by updating systems gradually.

• Middleware Solutions: Utilize middleware to facilitate communication between old and new systems.

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Unlocking the Future of the Sports Industry with Digital Transformation

As the sports industry leaps into digitalization, billions have been invested to keep pace and fundamentally change how organizations operate and engage with fans.

The transition from ad-hoc tech acquisition to strategic digital investment is reshaping the landscape, demanding a focus on AI integration and specialized workforce skills.

Here’s all you need to know:

🚀 Digital Transformation’s Broad Reach: The sports industry aims to enhance fan understanding and engagement through AI. Successful integration of these technologies hinges on strategic operations and workflow optimizations, creating new commercial opportunities and refining fan interaction.

🎯 Strategic Priorities for 2025

• AI-Ready Leadership: Emphasize AI literacy across senior management to foster a culture ready for technological change and to implement effective change-management programs.

• Robust Data Governance & AI Ethics: Set up strong frameworks for data compliance and security, prioritize bias detection in AI, and ensure transparent decision-making processes.

• Enhancing Personalization: Leverage AI for bespoke fan and employee experiences, such as tailored content and dynamic pricing, while improving internal communications and job satisfaction through AI-driven tools.

💡 Focused Implementation > Hype: The push towards digital maturity involves moving beyond the initial excitement for AI and focusing on its practical, strategic deployment. Organizations should concentrate on genuine needs rather than merely adopting technology for its own sake, which is risky and costly when mismanaged.

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Wrapping Up

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