Author name: CIO

Building Resilient Cybersecurity Defenses

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Raj Badhwar, Global CISO at Jacobs, discusses his passion for cybersecurity and AI's role in its future. He aims to democratize the field, modernize defense strategies, and mentor talent. Badhwar emphasizes teamwork, strategic investment, and hands-on leadership as keys to success. He also highlights the importance of AI and machine learning in detecting advanced threats and enhancing organizational security. Additionally, he shares insights about his writing journey and future goals, focusing on leadership and education within cybersecurity.

https://www.digitalfirstmagazine.com/building-resilient-cybersecurity-defenses-temp/

Artificial Intelligence Is About Skill Transformation, Not Job Loss: TCS Global AI Head, ET CIO

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TCS Global AI head Ashok Krish emphasizes AI drives skill transformation rather than job loss; sees it as a board-level priority for cultural and technological change. He notes AI can streamline workflows and reshape projects without eliminating jobs, generating new opportunities in various industries.

https://cio.economictimes.indiatimes.com/news/artificial-intelligence/artificial-intelligence-is-about-skill-transformation-not-job-loss-tcs-global-ai-head/120682763

The Rise of Responsible AI: Regulation, Ethics & Transparency in 2025

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Rise of Responsible AI in 2025: Focus on ethics, regulation, and transparency in AI development. Businesses and governments collaborate on frameworks to enhance accountability and prevent misuse. Key issues include bias, data ethics, and AI explainability. Organizations adopt governance measures and prioritize ongoing monitoring. Ethical AI practices provide competitive advantages and foster trust. Collaboration across sectors is essential for establishing best practices in AI governance.

https://www.techiexpert.com/the-rise-of-responsible-ai-regulation-ethics-transparency-in-2025/

Compliance And Governance: What Every CISO Needs To Know About Data Protection Regulations

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CISOs must adapt to evolving data protection regulations like DPDP and GDPR, incorporating compliance into security practices. Their roles now include interpreting laws, implementing technical safeguards (encryption, access controls), and ensuring data governance. Continuous monitoring, incident response, and collaboration with Data Protection Officers are essential for balancing security with regulatory demands. A risk-driven approach prioritizes security outcomes while maintaining compliance, requiring robust strategies and employee awareness in data handling.

https://gbhackers.com/compliance-and-governance/

Frontline Lessons: What Cybersecurity Leaders Can Learn From Attacks

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Cybersecurity leaders must recognize that false confidence can lead to vulnerability. Organizations often misjudge their preparedness, relying on outdated beliefs and temporary compliance. To enhance cyber resilience, businesses should focus on continuous risk monitoring, effective incident response, and integrating security into all operations. Lessons from real-world breaches emphasize the need for vigilance, addressing unseen vulnerabilities, and securing supply chains. True resilience means embedding security into the organizational culture, prioritizing it at the highest levels, and empowering all employees to be proactive defenders against cyber threats.

https://www.securitymagazine.com/blogs/14-security-blog/post/101537-frontline-lessons-what-cybersecurity-leaders-can-learn-from-attacks

GenAI Prompt Engineering Tactics for Network Pros

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GenAI in Networking: Prompt Engineering Insights
Effective GenAI usage in networking relies on crafting precise prompts. Specificity, context, examples, and structured queries enhance AI outputs. Engineers must understand compliance needs and refine prompts iteratively. GenAI can automate configurations, troubleshoot issues, and monitor performance, fostering human-AI collaboration while ensuring security and standards adherence.

https://www.techtarget.com/searchnetworking/tip/GenAI-prompt-engineering-tactics-for-network-pros

The EU AI Act: How Businesses Using AI Can Avoid New Fees

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The EU AI Act, effective August 2026, requires organizations using AI in the EU to classify AI systems by risk, implement governance frameworks, ensure data quality, and maintain ongoing compliance to avoid fines of up to €35 million or 7% of global revenue. Businesses need to assess their AI systems, collaborate with compliance partners, and establish monitoring tools.

https://www.forbes.com/sites/jessicamendoza1/2025/04/25/the-eu-ai-act-how-businesses-using-ai-can-avoid-new-fees/

EU Commission Publishes Guidelines on the Prohibited AI Practices Under the AI Act

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EU Commission establishes guidelines for prohibited AI practices under AI Act, effective February 2025. Prohibitions include harmful manipulation, exploitation of vulnerabilities, social scoring, predictive criminal assessments, untargeted facial data scraping, emotion recognition, biometric categorization, and real-time remote biometric identification. Guidelines aim to clarify compliance and foster uniform application of the Act across the EU, though they are non-binding. Providers and deployers are responsible for ensuring AI systems meet regulations.

https://www.orrick.com/en/Insights/2025/04/EU-Commission-Publishes-Guidelines-on-the-Prohibited-AI-Practices-under-the-AI-Act

What’s Behind Europe’s Push to “Simplify” Tech Regulation?

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EU's push to “simplify” tech regulation aims to streamline its complex laws, raising concerns about diluting hard-won protections like GDPR and the AI Act. Amid geopolitical competition with the US and China, 13 member states advocate for deregulation, arguing it hampers innovation. Experts warn this may benefit dominant tech firms rather than smaller businesses and stress the need for a coherent strategy rather than unfocused deregulation. Fragmentation and ineffective regulation hinder innovation in Europe, signaling that reform should focus on coordination and support for startups, not dismantling existing protections.

https://www.techpolicy.press/whats-behind-europes-push-to-simplify-tech-regulation/

EU Commission Clarifies Definition of AI Systems

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EU Commission clarifies AI definition: The Commission published guidelines detailing the definition of AI systems under the AI Act, outlining seven components, including machine-based systems, autonomy, adaptability, objective-driven outputs, inference capability, environmental interaction, and influence over environments. The guidelines help companies assess AI Act applicability. However, the guidelines are non-binding and not yet formally adopted.

https://www.orrick.com/en/Insights/2025/04/EU-Commission-Clarifies-Definition-of-AI-Systems

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