Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Agent for WordPress: The Complete 2026 Guide

In 1997, IBM’s Deep Blue, the first AI agent, made history by defeating Garry Kasparov at chess. Since then, AI agents have advanced dramatically, evolving from single‑task systems to agents like OpenAI’s Operator, which can autonomously fill out forms, place orders, and schedule appointments. WordPress is a popular CMS that powers more than 20% of the top one million websites. Bringing AI agents into WordPress opens up new possibilities, making sites more capable and adaptive.

AI Governance for WordPress: How to Ensure Safe and Ethical AI Use

WordPress sites are adopting AI faster than any other web technology category, and the impact is already visible. Over 61% of WordPress site owners now use at least one AI tool for content creation or marketing. WordPress teams are using that access to write content, automate workflows, run chatbots, and process customer data at a scale that was simply not possible before. But as AI adoption grows, so does the risk.

The Blueprint for a True AI SOC

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo John White is the Field CISO for EMEA at Torq. A respected security executive with more than 20 years of leadership experience, John previously served as CISO at Virgin Atlantic, where he led a multi-year transformation deploying the Torq AI SOC Platform to modernize cyber operations.

Why Foundational Security and Governance Are the Real Signs of AI Maturity

In the last couple of years, accelerated AI adoption has created some terrific opportunities for enterprises, allowing them to reshape everything from business models to customer engagement and decision-making. Yet, this also brings up various critical governance challenges. While 52% of organizations have (fully/partially) deployed GenAI, nearly 8 in 10 haven’t reached full AI maturity in cybersecurity, according to a recent Ponemon Institute study in partnership with OpenText.

Introducing the Detectify MCP Server to connect security intelligence into your AI workflows

We are launching the Detectify MCP Server to deliver real-time vulnerability data and attack surface insights directly into your AI-powered workflows. Built for developers and AppSec teams using Claude Code, Cursor, ChatGPT, and Claude Desktop, it delivers security data straight to your AI assistants via a remote-hosted server, giving you hacker-proof guardrails without adding anything new to deploy or maintain.

Beyond the Chatbot: Why Your AI Agents are Your Newest (and Most Vulnerable) Colleagues

The era of "typing into a box" is over. For years, we viewed artificial intelligence as a digital assistant—a sophisticated autocomplete tool that waited for human input. But according to Martin Kraemer, KnowBe4’s CISO Advisor for Europe and the Middle East, that dynamic has shifted. We have moved from asking AI questions to giving AI jobs. In a recent deep-dive webinar, Martin explored the transition from AI tools to AI agents.

Report: Adversarial Use of AI is Evolving

Threat actors are increasingly augmenting their attacks with AI tools, according to researchers at Google’s Threat Intelligence Group (GTIG). For the first time, GTIG observed a threat actor using a zero-day exploit developed by AI, although Google blocked the attack before it succeeded. Threat actors also continue to use Large Language Models (LLMs) for research, reconnaissance, and malware development.

AI Agent Governance Part 1 - Beyond the Chatbot: Mastering AI Agent Governance

In 2024, we talked to AI. In 2026, AI is talking to our systems, our customers, and increasingly, acting on our behalf. With AI agents, we are moving AI from a tool to an actor, from assistance to agency and from outputs to actions. And that changes the nature of risk. AI agents plan, execute, and interact with the world on our behalf. They send emails, move data, trigger workflows, and increasingly operate across systems without human intervention.

When AI changes the rules, attackers adapt

The dominant narrative around AI in security is one of emboldened defenders suppressing attackers. Yet, not everyone is convinced the future will be so rosy. In a recent Defender Fridays episode, Josh Neil, Co-founder and CTO of Alpha Level, made an argument that cuts against the celebratory mood: as AI makes known attack vectors harder to use, adversaries don't disappear. They adapt. For MSSPs and SOC teams, an adversary that looks like a user is a harder problem than one that looks like malware.

Ep 44: You can't vibe code your way through a production outage

In this episode of Masters of Data, we tackle one of tech's buzziest debates: vibe coding versus production-ready software. We break down where AI-assisted "just make it work" coding genuinely shines (think POCs, prototypes, and getting stakeholder buy-in fast) and where it falls dangerously short when someone tries to ship it to ten thousand enterprise users. We also dig into David's agentic engineering workflow, security risks like malicious MCP servers and supply chain attacks, and why turning a vibe-coded prototype into real software still takes months, not days. Bottom line.