Developers are embracing AI coding tools to accelerate software creation, but the resulting security landscape is increasingly complex. While AI can detect threats and debug code, relying on it exclusively creates a recursive loop where the same AI that writes code may also incorrectly validate or approve it.
Summarized by AI.
Source summarized: Shifting Security Left with AI — Is It Truly AI-Assisted Security, or an Infinite Loop?.
Key Points 49% of developers now use AI regularly for coding-related tasks, with 73% saving up to four hours per week.
🤖 Europe’s Innovation Constitution Calls for Radical Economic Refocus
Europe’s prosperity is stagnating because the EU has strayed from its core mission: a functioning internal market that drives economic growth and innovation. This manifesto argues for a renaissance built on enforcing market rules, enabling creative destruction, and cutting regulatory dead weight.
Summarized by AI.
Source summarized: The Constitution of Innovation: A New European Renaissance.
Key Points Refocus the EU on core economic functions: customs union, internal market, eurozone monetary policy, and common trade policy.
🤖 DoD Unveils CSRMC: Automating Continuous Compliance for Cyber Risk at Operational Speed
Summarized by AI.
The article explores how defense and enterprise organizations are evolving from traditional, static compliance frameworks toward continuous, automated, and intelligence-driven security models. It traces the U.S. Department of Defense’s (DoD) cybersecurity governance evolution–from DITSCAP in 1997 to the newly announced Cyber Security Risk Management Construct (CSRMC) in 2025–and argues that this shift is essential for organizations facing accelerated innovation cycles. The piece concludes by showing how VMware Tanzu Platform enables this new paradigm of “continuous compliance” through automation, visibility, and DevSecOps alignment.
The ultimate bike-shedding story, and, always make your own slides
The iterative design process for the Mac calculator app highlights the challenges of executive feedback and suggests that executives should use AI to better articulate their visions.
AI uses at banks, private AI and customer built AI apps - skills and regulations are the friction for wider adoption
The most common use case for agentic AI is customer service, according to 75% of banks surveyed by Capgemini. Nearly two-thirds use the technology for fraud detection, while 3 in 5 use it for loan processing and customer onboarding.
Also, 84% of apps/uses are built in house:
BNY developed its AI agents in-house, which one-third of banks also reported doing in the Capgemini report. Only 16% reported buying AI agents off-the-shelf.
We should be calling it all “AIaaS,” but I don’t think anyone could pronounce that without going PG-13 in every EBC and MQ.
Stop Building Frameworks, Go With Good Enough. And, check out the full discussion I had with Brian.
Some of the risks of having AIs write codes and AIso check code, “recursive AI security loops.” There’s also some advice about what to do, a post from Camille Crowell-Lee.
Reject the rejection of your writing voice especially when you're writing "enterprise grade" copy
Rejecting editing suggestions that dilute your unique writing style is essential for maintaining personality and engagement in your work.
Lawyers love AI
At this point this feels like what it’s showing is that the amount of work needed to do law is crushing and unreasonable. And/or that the potential for profit is so high that taking stupid risks is worth it.
🔗 Vigilante Lawyers Expose the Rising Tide of A.I. Slop in Court Filings