Platform overview
Discover every asset you own and test it with the same payloads real attackers use, backed by 400+ elite ethical hackers.
It was built for a world where you knew every asset you owned and CVEs moved faster than attackers. Neither is true anymore.
Every Detectify product starts with Discovery, a single inventory of your assets that becomes the source of truth for every scan, integration, and finding across the platform.
The system of record for your attack surface. Every asset flows through Discovery, so assessments read from it and findings feed back into it.
A short walkthrough with the real product UI, an actual payload-based test running, and the findings your team would see the same day.
In numbers
These stats come from our own platform data and research pipeline. Not from vendor surveys or CVE catalogs.
Go through the capabilities that separate payload-based testing from a version-check scanner. All of them run on the same discovery layer and research pipeline.
Payload-based testing
Detectify tests your assets by firing the actual payloads a real attacker would use, then only presents the vulnerabilities that are reproduced. No version fingerprinting, no "you might be affected" guesses, no CVSS-only theory sitting in your queue.
Dynamic fuzzing
Our dynamic fuzzing engine draws from a large fixed library of proprietary payloads and rotates which ones it fires each run, so coverage builds across scans instead of repeating the same checks. Machine learning decides which payloads to run first based on what past scans found. Other payload-based scanners fire the same static payload set every scan. Ours adapts, so coverage compounds.
The Crowdsource pipeline
Detectify Crowdsource is a private, invite-only community of 400+ elite ethical hackers. Their submissions feed our research team and Alfred AI, our LLM agent chain that turns new CVE research into live scanner tests within hours. When Log4Shell dropped, Crowdsource submission to live test happened the same day, while most of the industry was still scrambling.
High-fidelity findings
Every finding is validated by a real-world payload before it hits your dashboard, so the queue that reaches your team is the queue worth working through. Signal, not CVSS theory.
Remediation guidance
Every finding lands with risk level, description, and references so your team can prioritize. On new critical and high-severity vulnerabilities, our researchers write remediation guidance alongside the test, so your engineers get the answer instead of a link to a Wikipedia article. For older tests, Alfred (our LLM agent chain) is actively backfilling remediation across the catalog, so coverage keeps expanding.
eval() paths.Onboard in minutes
Detectify is SaaS-only and agentless, so getting started is a matter of pointing it at your DNS instead of a multi-week deployment project. Discovery kicks off automatically, and your team sees the first real findings the same day.
If you have a cumbersome manual process or don't have enough insight into your attack surface, Detectify can really help. It enables us to work very efficiently, giving us a level of confidence in our ability to track our attack surface and the state of our cloud platform.

A finding is only useful if it reaches the right person at the right time, so Detectify pushes results straight into your engineering and security tools instead of parking them in a separate portal for someone to remember to check.
Same-day findings, real payloads, 400+ ethical hackers behind every test.