Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Scaling application security and attack surface monitoring inside a single enterprise is a massive headache. In June 2026, the Department for Science, Innovation and Technology (DSIT) of the UK Government joined us on stage at Infosecurity Europe to share the reality of a challenge that puts even the largest corporate hurdles into perspective.

Attack Surface Monitoring has become a critical component of modern cybersecurity programs. As organizations scale their cloud environments, applications, APIs, and third-party services, so does their external attack surface. Every new cloud instance, API endpoint, marketing microsite, and third-party SaaS tool expands your perimeter. But there are two hard truths for security teams: You cannot protect what you don’t know exists, and you cannot secure what you don’t deeply test.

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.

In the world of application security, vulnerabilities are always a moving target. As modern applications keep becoming increasingly API-driven, cloud-native, and dependent on third-party services, the attack surface has expanded dramatically. For years, the OWASP Top 10 has served as the North Star for security professionals, providing a consensus-based ranking of the most critical web application security risks.

Security doesn’t stop at the perimeter. The “inside” of your network often harbors many overlooked risks. To address this, ealier this year we launched Detectify Internal Scanning, designed to bring our world-class vulnerability research directly into your private ecosystems.

Let’s be real. Shadow AI is already reshaping Shadow IT Security, whether organizations are ready or not. Chances are that your developers aren’t waiting for a formal RFP to start using AI. They’re already deep in the trenches, using Open WebUI to manage models or shipping entire projects through platforms like Lovable at a velocity that makes traditional AppSec look like it’s standing still.

Maintaining a secure external attack surface is no longer just about finding vulnerabilities; it’s about proving your resilience to partners, auditors, and regulatory bodies. Today, we are excited to announce Detectify’s PCI ASV Scanning, delivered in partnership with Clone Systems.

TLDR: We attended Cyber Security 2026: Kritisk infrastruktur in Stockholm, and the reality check was simple: “breakout time” has hit a record low of 29 minutes. If you’re still scanning monthly, you’re defending a version of your infrastructure that doesn’t exist anymore. The time it takes for an attacker to move after a breach has dropped to just 29 minutes. In 2021, we talked about a “breakout time” of 100 minutes. Today?

Detectify’s new GraphQL API Scanning uses hacker-led research to provide highly accurate (99.7%), payload-based security testing. It identifies complex vulnerabilities within 20 minutes, helping enterprises meet PCI DSS 4.0 and SOC 2 standards while giving developers actionable remediation guidance.

Most organizations share a common, uncomfortable secret: they can’t answer basic questions about what is actually exposed on their IP ranges. As companies grow, whether through decades of history, global data centers, or regional allocations, they lose visibility of their IP footprint. Traditional manual reconnaissance is a point-in-time sync, often leaving security teams blind to what’s actually running on their infrastructure.