Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

Invisible Cross-Tracking: How Mobile Apps Share Your Data and How to Stop It

Tracking user activity across apps on mobile devices is crucial, as data no longer flows from a single source on phones. For example, in the span of an hour, a user might open Instagram, Gmail, a shopping app, a weather app, and a free game, while various advertising tools quietly analyze network signals, device behavior, location data, and app usage patterns. A VPN won't remove every unique identifier in these apps, but it does make it harder to connect one link in this tracking chain: the digital network footprint.

DLP for GenAI: How to Prevent Sensitive Data Leaks in AI Tools

Employees are feeding sensitive data into AI tools at a pace most security teams did not anticipate. Source code goes into coding assistants. Customer records get pasted into ChatGPT to draft emails. Confidential contracts land in Gemini for summarization. According to Cyberhaven Labs research, 39.7% of the data employees share with AI tools is sensitive, and the volume is accelerating as AI adoption spreads from individual contributors to entire workflows.