Trusted by engineering and security teams including:
Full-repository analysis
Build the context behind the finding.
DeepScan connects architecture, identity, data flows, and dependencies across the repository. Your team gets a prioritized starting point for remediation.
Full repository
Beyond the latest change.
Build application context
Architecture & routes
Entry points · HTTP routes · API access
Identity & access
Authentication · Roles · Authorization
Data & dependencies
Data flows · Packages · Service boundaries
Prioritized action plan
Know where to start.
- Exploitable findings
- The paths behind the risk
- Evidence for the right fix
Ready for your team and coding agents.
"DeepScan Agent was incredibly helpful for identifying issues in a legacy application with millions of lines of code. Over the 20+ years of this application's lifespan, we've had several audits and 3rd-party reviews. DryRun's agent had a better grasp of the code's business intent and overall structure than most previous auditors. I expected a firehose of findings, most of which would be false positives or non-issues. However, the report listed 20 or so items to check, only one of which was a false positive."
Roger W.
Software Engineer
A different approach
Compare the approaches
| Capability | Legacy SAST | DryRun Security | Benefits | |
|---|---|---|---|---|
| 1 | Get an action plan, not a backlog | No | Yes | A prioritized deep report with actionable guidance and code security intelligence for your repository. |
| 2 | Expertise in hours | No | Yes | Legacy scanners gave you noise. Human reviews take too long. DeepScan Agent gives you full-repo expertise in hours. |
| 3 | Fix the highest-risk issues first | No | Yes | Prioritizes findings by exploitability and repo context, not just rule severity. |
| 4 | Reduce false positives and noise | No | Yes | Filters unreachable or low-risk findings using code security intelligence and context-aware reasoning. |
| 5 | Catch auth and business logic flaws | No | Yes | Surfaces complex authorization, authentication, and logic vulnerabilities that pattern scanners miss. |
How it works
How DryRun Security AI-Native SAST Works
DeepScan Requested
Run DeepScan Agent on demand, on a schedule, or before major releases. It analyzes the full repository in a few hours, providing expert-level analysis in hours, not weeks.
DeepScan Agent Builds the Full Picture
The DeepScan Agent combines Contextual Security Analysis with whole-app reasoning across modules, auth flows, dependencies, and risky patterns. It filters low-value alerts and focuses on issues that drive real risk, including complex logic flaws and secrets exposure.
The AppSec Report You Actually Use
In a few hours, your team has a prioritized DeepScan report that focuses on the highest-risk issues, with evidence, exploitability context, and clear fix guidance your teams and agents can execute.
Languages
DryRun Security is optimized for these languages and frameworks, however, our superpower is quickly supporting new tech stacks. Don’t see what you need? Ask us.
Integrations
DryRun Security connects with your AI coding tools, source control, and team communication tools so security review fits into your development workflow.
Learn more
Questions, answered.
Is DeepScan Agent a SAST tool?
DeepScan Agent is an AI-native, agentic approach to static application security testing (SAST). It performs static code analysis across a full repository and focuses on exploitable risk.
How is DeepScan different from legacy static code scanners?
Legacy scanners match patterns and generate lots of alerts. The DryRun Security DeepScan Agent reasons about context and behavior to prioritize what is likely exploitable and provide actionable guidance.
What kinds of vulnerabilities does DeepScan Agent find?
It is designed to surface high-risk issues including authorization and authentication flaws, business logic vulnerabilities, secrets exposure, and other exploitable weaknesses. Learn more here.
When should I run a full repository security scan?
Before major releases, after large refactors, during onboarding, for due diligence, and whenever you need a fresh view of repo risk beyond PR-by-PR scanning.
Will this reduce false positives compared to traditional SAST?
Yes, DeepScan Agent is built to reduce noise by using contextual security analysis. That helps teams focus on real risk instead of chasing theoretical findings.
How does DeepScan Agent fit with PR scanning?
Use PR scanning for continuous coverage during development. Use DeepScan Agent when you want a deep, repo-wide assessment and a prioritized remediation plan.
What is in a typical DeepScan Agent full code repository report?
DeepScan Agent produces output you can use immediately: a prioritized set of security findings, clear explanations grounded in your application context, relevant software composition analysis (SCA), and actionable remediation steps.
Ready to Meet Your AppSec Agents?
Static analysis tools tell you what might be wrong. DryRun Security shows you what actually matters.
No sales script. No generic demo loop. Just a conversation about your code, your team, and how to level up your AppSec program.