Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

If your application security program only tracks known Common Vulnerabilities and Exposures (CVEs), you’re probably missing a large share of your real risk. Across the Detectify platform, 75% of the vulnerabilities in our test catalog and 99% of those we discover in customers’ assets are non-CVE vulnerabilities. That makes public disclosures a poor measure of coverage on a modern attack surface. Below, we look at why so many vulnerabilities never get a CVE and how Detectify finds both kinds.

The Detectify Cyber Hygiene Index Report H2 2026 measures something most reports ignore: not what happened after an attack, but what’s exposed right now, before one occurs. We analyzed anonymized data from a sample of +1290 organizations across the US, UK, and Nordics to understand how effectively they’re finding, monitoring, and closing vulnerabilities across their external attack surfaces.

When modern development teams and AI agents ship code at unprecedented speeds, the runtime security checkpoint becomes an indispensable line of defense. However, far too many AppSec teams find themselves drowning in a sea of false positives, overburdened by legacy tools that infer potential vulnerabilities rather than proving their real-world exploitability.

A staging site is meant to last a week, but six months later, it still resolves on a company subdomain, runs an old framework, and has no clear owner. The asset never made it into the central inventory, which means that it also missed the normal cycle of testing, patching, and retirement. That is how many Shadow IT Security problems develop. The original shortcut may have been reasonable, but the risk grows when temporary infrastructure becomes part of the permanent attack surface without anyone noticing.

We’ve been listening to dozens of CISOs. In roundtables, peer forums, customer and prospect calls, on the record, off the record, at event floors and dinners. And the same thing keeps coming up: the security program on paper and the one running in production are rarely the same. There’s a gap between security policy and reality.

Most tools will only test the domains you already know about. We’ve decided that’s not enough. TLDR: Detectify’s new Apex Discovery automatically identifies root domains likely to belong to your organization (from M&A, subsidiaries, and shadow IT) for complete security coverage. Review and confirm our curated suggestions in a click, and instantly start protecting them with the same continuous discovery and vulnerability assessment as the rest of your attack surface.

For years, development and security practitioners have treated dynamic application security testing as a critical final safety check before code goes live. However, the external attack surface is expanding faster than mid-sized security teams can realistically manage. In this high-velocity environment, legacy DAST tools are increasingly failing to keep pace.

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.