From DevSecOps to Agentic SecOps: Can AI Defend AI-Native Software?
Software is increasingly written, tested and operated with AI agents, and attackers are using agents too. Can security operations keep up by…
Tag
AI Agents
19 articles tagged AI Agents.
Policy-as-Code for AI Developers and Autonomous Software Agents
When agents write code, open pull requests, change infrastructure and call tools, written policies and prompts are not enough. Rules have to…
Runtime Security for AI Agents: Monitoring What Agents Actually Do
Preventive controls for AI agents will never be perfect, because prompt injection has no complete fix. Runtime security fills the gap: captu…
Building a Secure Agentic SDLC: AI That Writes, Tests and Deploys Code
In an agentic SDLC, AI agents take on work at every stage: specifying, coding, testing, reviewing, releasing and operating. This article des…
AI Engineering in 2026: Agents, Models, Tools, Evals and Observability
AI engineering has become its own discipline, distinct from both machine learning research and traditional software engineering. This mid-20…
AI Agents as Non-Human Identities: A New IAM Security Problem
AI agents act on behalf of people, teams and other agents, which makes them non-human identities with an unusual twist: delegated, dynamic a…
Agentic Software Engineering: When AI Agents Become Software Developers
In many engineering organisations, agents now open a steady share of pull requests. That raises management questions nobody had to answer be…
The AI-Native Security Architecture: Agents, MCP, Identity, Runtime and Observability
Organisations running many AI agents need more than per-agent controls. They need a security architecture: shared identity for agents, a gov…
The Agentic Attack Surface: Securing Autonomous AI Systems
A year ago, most AI agents were pilots. Now they run inside ticketing systems, CI pipelines, SOCs and customer service, often with more acce…
Agentic AI Architecture: Building AI Systems That Can Actually Act
Moving from AI that answers to AI that acts changes the architecture. Actions need identity, authorisation, state, reliability and accountab…
Agentic DevSecOps: When AI Agents Can Write, Test and Deploy Code
Agents now take part in every stage of the delivery pipeline: writing features, fixing findings, triaging failures and preparing releases. T…
AI Red Teaming for Developers: Testing Agents Before Production
Red teaming used to be something a security team did to a finished system. For AI agents, it has to start with the developers who build them…
AI Agents in CI/CD: Can Agents Test, Debug and Deploy Software?
Coding agents now run inside CI pipelines: triaging failed builds, fixing flaky tests, reviewing pull requests and responding to issues. The…
MCP + DevSecOps: Securing AI Agents Inside the Software Lifecycle
MCP servers are now part of how software gets built: developers connect coding agents to repositories, ticketing, CI, cloud consoles and dat…
AI Agents in Production: Architecture, Memory, Tools and Evaluation
Agent SDKs, standard tool protocols and better models have made AI agents a production reality in 2025. This article sets out a reference ar…
Building Secure AI Agents: Architecture, Identity, Tools and Guardrails
With new agent SDKs from the major model providers, MCP support spreading and Google's Agent2Agent protocol just announced, building agents…
Securing AI Agents: A New Cybersecurity Attack Surface
AI agents that browse, write code and operate software on a user's behalf moved from demos to products in the last few months. They combine…
Building Reliable AI Agents With LLMs
Agent demos are easy; agents that work reliably in production are not. After a year of building them, the patterns are clearer: constrain th…
AI Agents: Moving From Chatbots to Autonomous Systems
AutoGPT became one of the fastest-growing projects on GitHub within weeks of its release, promising AI that pursues goals on its own. Behind…