Turning a Lean AppSec Team into a Force Multiplier for AI-Generated Code

About Invisible

Most companies are playing catch-up to the future. They’re building it. System by system. Layer by layer. Until the line between AI and operations disappears. Not as an experiment. Not as a trend. As infrastructure.

Invisible exists to turn complexity into clarity, and movement into momentum. They don’t optimize tasks. They rewire the logic of how work works. Quietly. Precisely. Across the enterprise.

Because in the end, the companies that win won’t be the ones that use AI. It’ll be the ones that operationalized it.

The Problem

Invisible has a lean, high-impact AppSec team, and AppSec is only one part of their broader security responsibilities. At the same time, AI code generation accelerated the volume of code changes, making it difficult to keep up with reviews using traditional tools and manual processes.

Before DryRun Security, repository security reviews often took up to two weeks from request to completion. That timeline included time to gather context, review architecture diagrams, manually review code, and run threat modeling. In practice, that meant reviews could queue for days before the team could even start focused work, and then take a week or more of dedicated effort.

You have seen this movie before…engineering teams often treated security review as a last checkbox before production. Teams did not want to engage security late in the cycle because it slowed shipping, and security leaders were left trying to catchup while reducing noise in existing scanners.

Challenges

• Lean AppSec team
• AI code generation increased the volume of code changes, outpacing traditional review capacity
• Repository security reviews often took up to two weeks end-to-end
• Reviews required heavy manual effort
• Engineering teams treated security review as the last checkbox before production, but also did not want to engage security late in the cycle fearing slow shipping
• Existing scanners created noise, forcing AppSec to spend time triaging instead of reviewing meaningful risk

The Solution

Invisible adopted DryRun Security to keep pace with AI-generated development while still improving review depth. Two parts of the workflow stood out.

First, Invisible wanted security feedback delivered to developers where they work. During their proof of concept, the team found DryRun Security could provide fast, relevant feedback directly to engineers and their agents, rather than burying findings in a separate tool or pushing everything into tickets for manual review. Developers reported they were not getting a lot of unnecessary feedback, which helped build trust and drive adoption.

Second, Invisible leaned on the DryRun Security DeepScan Agent for the kinds of reviews that used to be slow and painful: large changes in a big mono repo with tensor hundreds of thousands of lines of code. In early testing, an engineer building anew service was “blown away” by the thoroughness and quality of the Deep Scan results. The output was actionable and fast, turning what used to be week-long effort into something the team could run in hours and validate against existing architecture diagrams and threat models.

“It’s a force multiplier. It has allowed our lean team to operate at a greater pace.”
—Cory Roop, Director of Production Security at Invisible

DryRun Security also helped Invisible catch classes of issues that pattern-based tools often miss, including authorization flaws like IDORs. That mattered for Invisible because it improved review quality without requiring the AppSec team to become a bottleneck.

Outcomes

With faster turnaround, Invisible saw more collaboration, earlier engagement, and more inbound review requests. The team noted that once engineers understood security could review changes faster, they saw a surge in requests with six to seven review requests landing in the queue in a single week. That shift changed security from “the last checkbox” to a partner teams involve earlier, sometimes before code is even complete.

Summary

Invisible needed a way for their AppSec function to keep up with AI-generated development without drowning in scanner noise or slowing engineers down. DryRunSecurity provided PR-native feedback developers could use immediately, plusDeepScan Agent for fast, high-confidence deep reviews of large repos and features.The result was faster security review, better coverage on complex issues, and earlier collaboration with engineering teams. To see how DryRun Security can help your team review more code without adding headcount, get a demo.