Author name: CIO

Beyond the Dark Web: Where Threat Actors Operate

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Cybercriminals are increasingly moving operations from the dark web to mainstream platforms like Telegram, Discord, and social media due to law enforcement pressure and the practicality of these accessible channels. This shift enables easier communication, recruitment, and data leakage, complicating threat detection for defenders. Consequently, threat intelligence strategies must adapt to monitor diverse platforms effectively, necessitating enhanced operational security, language skills, and automation tools for efficient surveillance. The evolution of cybercriminal behavior highlights that the dark web is no longer the primary hub of illegal activities.

https://sosintel.co.uk/beyond-the-dark-web-where-threat-actors-operate/

What The Last Century Of Cybersecurity Can Teach Us About What Comes Next In The Age Of AI

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AI transforms cybersecurity; businesses must adapt rapidly to avoid falling behind. With only 30% ready for AI integration, understanding past security evolutions can guide future strategies. AI can process alerts and aid in threat detection. Analysts must oversee AI actions, ensuring effectiveness and connection to business objectives. Emphasizing AI as a team member, training analysts as supervisors, and tying AI tasks to business impacts will enhance security operations and competitiveness.

https://www.forbes.com/councils/forbestechcouncil/2025/07/18/what-the-last-century-of-cybersecurity-can-teach-us-about-what-comes-next-in-the-age-of-ai/

What Are the Cybersecurity Trends We Need To Follow?

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Cybersecurity Trends Summary

Focus on key emerging cybersecurity trends amidst evolving technologies. Discussions emphasize AI's dual role in enhancing security and increasing risks, particularly in secure coding practices and supply chain transparency. The challenge of legacy systems and the need for standardization are highlighted, alongside the potential impact of cyber insurance on security practices. Data management emerges as central to addressing security breaches, with AI tools like Data Security Posture Management (DSPM) seen as critical for improvement. Overall, increased community awareness and regulatory pressures are necessary for enhanced data privacy and security standards.

https://cisoseries.com/what-are-the-cybersecurity-trends-we-need-to-follow/

Open Source Intelligence (OSINT)

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OSINT: data gathering from publicly available sources for intelligence purposes. Tools: social media, websites, databases. Applications: cybersecurity, law enforcement, market research. Ethical concerns: privacy, legal implications.

The EU AI Act: What You Need to Know

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EU AI Act Summary: The EU AI Act, adopted by the European Parliament, regulates AI development and use, balancing adoption with individual rights. It categorizes AI risks as unacceptable, high, and low/minimal. Unacceptable risks, like harmful subliminal influences, are banned. High-risk systems must comply with strict standards, while low-risk systems face fewer regulations. The Act will gradually implement over time, with measures including prohibitions on risky systems, establishment of national AI regulatory sandboxes, and guidance on high-risk categories. Organizations must assess and document their AI systems regarding these classifications.

https://kpmg.com/dk/en/ai/the-eu-ai-act-what-you-need-to-know.html

The General-Purpose AI Code of Practice

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EU's General-Purpose AI Code of Practice, published July 10, 2025, aids industry compliance with AI Act on safety, transparency, and copyright. It's voluntary for AI model providers, offering legal certainty and reduced administrative burdens. The code includes chapters on Transparency, Copyright, and Safety, applicable to advanced models with systemic risks. Providers can sign the code to demonstrate compliance.

https://digital-strategy.ec.europa.eu/en/policies/contents-code-gpai

Why CIOs Must Build the Infrastructure That Makes AI Drive Revenue

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CIOs must develop robust infrastructure to leverage AI for driving revenue, transforming their role from IT leaders to strategic growth architects. Despite high confidence in AI, many organizations struggle with disconnected revenue processes and poor data trustworthiness. CIOs are tasked with creating integrated systems that automate workflows, harness data context, and ensure governance, enabling AI to provide reliable insights. The rise of the “Revenue Architect” role reflects this shift, emphasizing unified data management and strategic workflow design to optimize AI's effectiveness in revenue generation.

https://www.intelligentcio.com/north-america/2025/07/11/why-cios-must-build-the-infrastructure-that-makes-ai-drive-revenue/

Europe’s AI Code Urges Companies to Disclose Training Data and Avoid Copyright Violations

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EU's AI code mandates companies disclose training data and respect copyright, facing fines up to 7% of revenue for noncompliance. Guidelines aim to help tech giants like OpenAI and Google follow the AI Act, which includes transparency about model development and safety measures.

https://www.techspot.com/news/108644-europe-ai-code-urges-companies-disclose-training-data.html

European Commission Receives Final Version of General-Purpose AI Code of Practice

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European Commission publishes final General-Purpose AI Code of Practice, aimed at governing AI operations ahead of the EU AI Act's August rules. Code is voluntary, offering compliance benefits like reduced administrative burden. It addresses safety, transparency, and copyright obligations, developed with input from 1,000+ stakeholders. Debate continues on its effectiveness and regulatory burden, with companies expressing concerns over its prescriptiveness and need for implementation time. Official endorsement from member states is next, allowing organizations to voluntarily comply.

https://iapp.org/news/a/european-commission-receives-final-version-of-general-purpose-ai-code-of-practice

Advice for Time Management as a Manager

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TLDR: Time management as a manager differs from being an individual contributor. Key changes include juggling priorities, focusing on team output, and adapting to a manager’s schedule. Managers must set realistic expectations, prioritize tasks, delegate effectively, and create focused time for deep work. In overwhelming situations, follow a checklist to triage tasks and manage workload.

https://www.benkuhn.net/tmgr/

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