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Let’s meet your AppSec agents.

DryRun Security shows you what actually matters in your code:
Cuts 90% of noise with Contextual Security Analysis
Surfaces real, exploitable vulnerabilities rules and legacy SAST miss
Gives developers instant, actionable feedback directly in their PRs

What Happens After Your Sign Up

02
Quick Call

Set up a 15-minute consult with an AppSec expert.

03
Secure it All

Activate your account to start analyzing real code in your PRs.

🎉 Trusted with 250,000+ Code Reviews a Month

"At Commerce, we’re building AI-driven shopping experiences, and agentic checkouts are changing everything. We chose DryRun because OWASP LLM app risks are all about context, and we wanted to build security in from day one. DryRun outperformed every other tool we tested by far, and its contextual security analysis actually understands our code the way our engineers do.”

Adam Dyche

Manager

FAQs

Answers to Your Most Common Questions.
If we didn't get your question covered, reach out to us at hello@dryrunsecurity.com
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Review and prioritize the highest-risk issues

Within a few hours you’ll get the results and if you want, one of our top appsec experts will review the top issues with you and a provide a practical path to remediation. That’s it, no strings attached.

Run DeepScan Agent on your codebase

You kick off the scan from the dashboard. We monitor progress and handle any issues should they come up (don’t worry, they won’t!). 

Connect your repo

You perform a 5-minute install in the GitHub or GitLab app for your repo(s). We’ll walk through permissions and keep the process simple.

Meet with a DryRun Security expert

Short discovery call to confirm repo scope and what you want to learn (auth, business logic, secrets, or all three).

When should I use a DeepScan Agent review instead of a PR review?

Use it when you need broader coverage, for example onboarding a repo, preparing for an audit, after major refactors, before a release, orwhen developers introduce a new language.

Many teams run DeepScan on a cadence per production repo (monthly/quarterly), at key release checkpoints, or when risk changes, for example after big dependency updates or major architectural changes.