code4thought and TÜV NORD Hellas are pleased to announce their collaboration in support of ISO/IEC 42001 certification audits, combining expertise in certification, auditing, AI governance, and AI technical assurance.
code4thought and TÜV NORD Hellas Join Forces to Strengthen ISO/IEC 42001 Assessments Read More »
Software engineering is entering a new era. Over three decades, organizations have
repeatedly reinvented how software is delivered: Agile changed how teams collaborate,
DevOps transformed how software moves to production, and cloud computing changed how
it is built and operated.
The Next Evolution of Software Delivery Read More »
In practice, this means organizations need to pay closer attention to how AI is presented and disclosed. Among other requirements:
people must be informed when they are directly interacting with certain AI systems, unless this is already obvious
providers of generative AI systems must enable AI-generated or manipulated content to be identified through machine-readable marking
deepfakes must be clearly disclosed and
AI-generated or manipulated text published to inform the public on matters of public interest must be labelled in certain circumstances.
The EU AI Act Keeps Moving: Is Your AI Governance Keeping Pace? Read More »
When organizations deploy vector-based “Traditional” Retrieval-Augmented Generation (RAG) systems, performance issues are often attributed to model choice or hyper-parameter tuning.
Evaluating vector-based “Traditional” RAG Systems: Why Knowledge Base Quality Matters Read More »
AI-assisted coding is no longer experimental. It is reshaping how software is written, reviewed, and deployed at a pace few anticipated. For some, this is a productivity revolution or change of paradigm. For others, it is a fundamental architectural risk. For most, it is both.
AI-assisted coding is no longer a future-facing concept for software development. It is already embedded in daily engineering workflows. But despite widespread experimentation and growing adoption, the reality of how developers use AI today is far more grounded than popular narratives suggest.
How Developers Are Really Using AI Today — And What That Means for Software Quality Read More »
As AI adoption accelerates across sectors, executives are increasingly looking for ways to demonstrate that their organisation builds and deploys AI systems responsibly. ISO 42001, the world’s first certifiable standard for AI management systems, is quickly becoming the reference point.
Preparing for ISO 42001: Insights from the Field Read More »
In the previous blog celebrating Cybersecurity Awareness Month, we explored how AI is transforming cybersecurity — empowering both attackers and defenders — and why trustworthy, transparent, and responsible AI adoption is essential for building resilient defenses.
From Awareness to AI Literacy: Enabling Human Oversight in the Age of Agentic AI Read More »
October marks Cybersecurity Awareness Month. The theme “Secure Our World” invites businesses (and individuals) to reflect on how digital risks are evolving and what it takes to stay ahead. It is an open invitation toward resilience in the face of attackers enhancing their playbooks by leveraging cutting-edge technologies and tactics.
AI in Cybersecurity: Striking the Balance Between Innovation and Trust Read More »
Imagine celebrating that 60% of your code is written by AI — only to realize your product still ships late.
That’s the trap many organizations are likely to fall into. Ambitious targets like “By 2026, half of our code will come from AI” sound bold, look measurable, and they can even make the case for strong boardroom slides.
How Leaders Should Measure Success in AI-Driven Software Engineering Read More »
