Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

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.

How an AI SEO Agency Helps SaaS Businesses Rank Faster Online

Software companies often depend on search visibility long before paid acquisition becomes efficient. Yet many teams publish pages without a clear intent map, a crawl plan, or realistic ranking priorities. Results slow down for predictable reasons. Search growth usually improves when technical repair, keyword research, and content planning move in the right order. With that structure in place, SaaS brands can reach evaluators earlier, support longer buying cycles, and build a steadier pipeline from organic discovery.

Stop Treating AI Like Another SaaS App

Employees are leveraging AI to boost productivity and adopt skills that would take years to learn. This ranges from drafting content, writing code, and building automated workflows. Some of this use is approved. Much of it is not. For many security teams, the first instinct is to treat this risk like they would any other SaaS risk: discover the app, allow or block access, apply DLP rules, and report on usage. That model works for traditional SaaS, but AI is different.

Developers Are Installing AI Agent Skills Too Fast

235,000 installs per week. That’s how quickly developers are downloading AI agent skills — packages that give AI coding agents new capabilities like shell access, file system operations, cloud access, and deployment permissions. But unlike traditional npm packages, agent skills introduce a completely new security problem: natural language instructions that AI agents can interpret and execute autonomously.

AI didn't create the identity problem. It exposed it. #netwrix #datasecurity #identitysecurity

As access changes constantly and sensitive data moves faster than security teams can track, visibility matters more than ever. Helen R., Director of Engineering at Netwrix, explains why identity and data security can’t operate in silos anymore, especially in the age of AI. Have questions about identity governance, AI, or protecting sensitive data? Experts at Netwrix, including Helen, are helping organizations navigate these challenges every day.

AI Agent Governance: From Policy Framework to Runtime Enforcement

Most enterprise AI agent governance programs publish policies at the bottom three rungs of a runtime enforceability ladder while their architecture diagrams claim rung four. Almost no program reaches rung five, the only rung that produces evidence an auditor cannot dispute. The mismatch shows up in the audit committee meeting. The CISO walks in with the NIST AI RMF mapping, the AUP, the model cards, and the vendor risk assessments for every third-party API the agents call.

Can Existing CNAPPs Secure AI Agents in Cloud Environments? Where Each Domain Stops

A CNAPP isn’t a single instrument. It bundles five separately-instrumented security domains — CSPM, CWPP, CIEM, CDR, and a fifth add-on module marketed as AI security — each watching a different observation point. So when leadership asks whether your CNAPP can secure the AI agents your team has shipped, you don’t get one answer. You get five.