Commission Launches Work on a Code of Practice on Marking and Labelling AI-generated Content
EU launches code for marking AI-generated content, tackling misinformation. Transparency rules enforce clear labeling by 2026, enhancing public trust.
To Maximize Their Influence, CISOs Need Diverse Skills
CISOs must possess diverse skills to influence organizational strategy by effectively addressing cybersecurity as a business issue. Key requirements include understanding security technology, aligning cybersecurity with business goals, and communicating risks clearly to stakeholders. Modern CISOs need leadership skills to engage all employees in security practices and a risk-centric mindset to prioritize vulnerabilities. With increased cybersecurity threats, corporate executives are more receptive to CISOs, marking a significant shift in their role from solely tech leaders to strategic business partners.
https://www.techtarget.com/searchsecurity/tip/To-maximize-their-influence-CISOs-need-diverse-skills
Top 10 Countries That Have Payment Card Info Spilled Onto the Dark Web in 2025
Top 10 countries with card info on dark web in 2025: US (30,000+ cards), Singapore (5,400+), Spain (5,090+), UK (1,804+), Kuwait (1,518), France (722), Ireland (589), Canada (442), Germany (408), Cyprus (326). Stolen cards trading at low prices due to high supply and low-quality data. Most stolen details remain valid for 12-16 months, making them risky for consumers. Key security measures: monitor statements, use strong passwords, disable browser password saving, enable multi-factor authentication.
How Agentic AI Could Turbocharge Fraud
Agentic AI could revolutionize online shopping but poses significant fraud risks. Payments professionals at Money 20/20 expressed concerns that criminals might exploit AI to execute scams more effectively. Programs like FraudGPT, available for subscription, could escalate fraud incidents by automating scams and creating synthetic identities. Executives highlighted challenges in verifying AI-driven transactions and the need for robust authentication processes to combat fraud as agentic AI technology becomes prevalent.
https://www.paymentsdive.com/news/how-agentic-ai-could-turbocharge-fraud-payments/804562/
Vulnerability-Lookup
Vulnerability-Lookup is a platform for security teams to track and manage vulnerabilities across products and vendors. It integrates multiple vulnerability databases, enabling users to correlate and manage vulnerabilities without relying on specific identifiers. Features include custom watch lists, an API, modular import systems, and support for Coordinated Vulnerability Disclosures (CVD). It is co-funded by CIRCL and the EU.
Preparing for Threats to Come: Cybersecurity Forecast 2026
Cybersecurity Forecast 2026: Google Cloud's report focuses on upcoming cybersecurity threats, emphasizing AI's role in escalating cybercrime, with adversaries leveraging AI for more sophisticated attacks and social engineering. Key predictions include increased ransomware incidents, the growth of cyber operations from nation-states like Russia, China, Iran, and North Korea, and challenges in securing AI systems. Organizations are advised to adapt to these evolving threats, enhancing their security strategies in anticipation of 2026.
https://cloud.google.com/blog/topics/threat-intelligence/cybersecurity-forecast-2026/
The Great Decoupling of Labor and Capital
Extreme TLDR: Tech companies show decoupling of growth from employee count. Examples: Apple (60k for $100B), Alphabet (76k for $100B), Microsoft (124k for $100B), Meta (63k for $100B), Amazon with lower increases post-pandemic. Nvidia reached $100B with 30k. Walmart’s revenue grew with static headcount. The trend suggests future revenue growth needs fewer employees, driven by AI advancements, indicating a shift towards higher productivity with fewer workers.
https://www.mbi-deepdives.com/the-great-decoupling-of-labor-and-capital/
2025 AI Adoption Report
2025 AI Adoption Report highlights rapid Gen AI integration in enterprises. Key findings show 82% of leaders now use Gen AI weekly, with 72% measuring ROI through productivity gains. Predictions indicate increased budgets and focus on organizational readiness. The emphasis is on leveraging human capital and establishing accountability to turn AI applications into long-term advantages.
https://knowledge.wharton.upenn.edu/special-report/2025-ai-adoption-report/
In a Landmark Decision, EU Court Clarifies When Pseudonymised Data Is Not Personal Data Under the GDPR
The ECJ clarified that pseudonymized data does not always constitute personal data under the GDPR; its classification depends on whether the recipient can reasonably reidentify individuals by considering technical, organizational, and legal factors. The perspective of the data recipient is critical; if they cannot realistically identify individuals, GDPR does not apply to that data. However, this is not an unlimited exemption—if reidentification is possible through access or contractual means, the GDPR requirements still apply. Data controllers must still be transparent, document their processes carefully, and regularly update their assessments and contracts. This decision may reduce GDPR compliance burdens and encourage broader data use for analytics and AI, provided that the risks of reidentification are effectively managed.
https://www.jdsupra.com/legalnews/in-a-landmark-decision-eu-court-7439040/
AI and Cybersecurity
A report from Aikido reveals that AI-generated code is introducing serious security vulnerabilities, with nearly seven in ten organizations having discovered such flaws and one in five reporting major incidents. Responsibility for these issues is unclear, as it is split among security teams, developers, and vendors, and the growing reliance on automated tools is exacerbating the problem. As more junior coders depend on AI, crucial human expertise is being lost, raising concerns about “dumbing down” the developer workforce. CISOs warn that organizations should focus on basic security hygiene and critical thinking while resisting the temptation to trust AI blindly, as the technology can amplify existing mistakes if not managed carefully.