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AI agents: 40% of enterprises could restrict or retire them by 2027
By 2027, according to a Gartner forecast, 40% of enterprises could demote or decommission autonomous AI agents for lack of suitable governance. The problem rarely lies with the model. It usually lies with the rules: the same ones for an agent that summarises documents and for an agent that changes a production system. Here is the grid we apply to decide what an agent is allowed to do, and the mechanisms that enforce it.
NIS2, DORA, AI Act: why cyber compliance is becoming a business issue in 2026-2027
NIS2 has still not been transposed in France, DORA has applied since January 2025 and the AI Act ramps up until 2028. For a company, the question is no longer whether these texts apply to it, but where to start. And the answer will not come from the legislator: don't wait for the law, build a common foundation, then add the requirements specific to each text.
AI-generated code: why “it works” does not mean “it is maintainable”
Coding agents quickly produce code that passes the tests. But code that works is not necessarily healthy code. What research on design smell detection teaches us, and how to keep technical debt under control.
Kubernetes production best practices: the 2026 guide
Health probes, requests and limits, autoscaling with Karpenter and KEDA, RBAC, network policies, GitOps: the practices that make Kubernetes production-grade.
AI-First DevOps industrialisation: the 2026 barometer
Adservio 2026 barometer, consolidated by our 180+ consultants: 4 maturity tiers, measured KPIs (x10 deployments, MTTR divided by 3), sector feedback and 3 anti-patterns.
AI-augmented platform engineering: the IDP in 2026
80% of engineering organisations run a platform team in 2026. How agentic AI turns the IDP into a governed, sovereign and self-service delivery platform.
Autonomous SRE in 2026: agentic incident response
AI agents wired to observability correlate telemetry, code and deployments to triage and remediate incidents. Alert fatigue down 40-60%, MTTR falling.
Self-healing CI/CD pipelines: self-repair through AI
Self-healing CI/CD pipelines in 2026: how LLM agents and Kubernetes operators detect, diagnose and fix delivery failures, with guardrails and measurable FinOps gains.
Securing LLMs in 2026: attack vectors and self-hosted defense
Six attack vectors against LLMs, prompt injection, GCG, PoisonedRAG, MCP exploits, agentic, and a self-hosted ModernBERT defence at 35 ms and under $1.
Resilience in the Financial Sector - Lessons from Human Evolution
Financial-sector resilience mirrors the human body's homeostasis: a four-step framework for advancing technology resilience and operating-model resilience together.
Semantic Search and Information Retrieval with Transformers
Semantic search in 2026: embeddings, cosine similarity, the retriever + reranker duo, vector databases and hybrid search for building an accurate RAG at scale.
Software architecture decisions: who should be involved?
Andrew Harmel-Law on decentralizing architecture decisions: advice not permission, ADRs, five software revolutions, and how to build organizational trust.
How to Build an AI-Ready Knowledge Base: Migrating Data from Confluence to Azure
Discover how to build an automated pipeline that migrates Confluence content to Azure to create an AI-ready knowledge base with RAG, semantic embeddings, and continuous updates.
Start smarter: how to identify your digital transformation exemplar
How to pick the right digital transformation exemplar: a discovery phase, three decision lenses (impact, feasibility, relevance), and team mobilization.
Tech Industry Macro-Trends | November 2025
An analysis of November 2025's tech macro-trends: AI infrastructure orchestration, Kubernetes for GPU workloads, context engineering, and the rise of the Model Context Protocol.
From vibe coding to context engineering: 2025 in software development
From vibe coding to context engineering: how 2025 transformed software development, and why MCP, A2A and AI agents put software engineers back at the center.
MCP Security: Solving Unintended Access with the API Delegation Model
Remote MCP servers, OAuth 2.1, PKCE, and gateways: how the API delegation model secures AI agent access without reinventing access control from scratch.
The evolution of platform engineering
Seven years from DevOps to platform engineering: from manual deployments to product-minded IDPs, SLOs, and AI-infused platforms in 2026.
The five dimensions of AI adoption
A five-dimension framework - literacy, engineering, champions, governance and playbook - to turn generative AI adoption into lasting business value.
The High-Performance Playbook: How Great Product Teams Deliver Results
The high-performance product team playbook: shared vision, autonomy, trust, quality, and early value delivery, plus the metrics that track real progress.
The Inside-Out Advantage: Why Customer Experience Starts With Employee Experience
Why employee experience drives customer experience: concrete levers, agentic AI and product thinking to durably align EX and CX across your organization.
How Adservio's PerformanceAI Transforms Marketing Analytics with AI Agents
PerformanceAI, Adservio's multi-agent application, answers marketing questions in natural language: architecture, RAG, guardrails and adoption lessons.
Building for Intent: Becoming an Organization Ready for the Age of AI Agents
Moving from interfaces to intent is a strategic transformation: mindset, MCP architecture, new roles, culture and governance to get your organization ready.
The Model Context Protocol: Beyond the Hype, the Standard for AI Agents
Architecture, 2026 specification, official registry, security: how the Model Context Protocol went from hype to the production standard for AI agents.
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