Soraban — 2+ Hours Saved, 5 Vulns Blocked Monthly
How Soraban Reclaimed 2+ Hours Weekly and Blocked 5 Monthly Vulnerabilities using Optibot
Soraban replaced noisy, false-positive-heavy legacy SAST tools with an AI code review agent — enabling high shipping velocity during their 10× seasonal traffic peak without compromising security.
Saved / Engineer / Week
2+ Hours
Time reclaimed from first-pass reviews and false positive triage across the team.
Vulnerabilities Caught / Month
3–5
Real security issues flagged before merge — without the noise of legacy SAST tools.
Per Incident Avoided
$10K+
Savings per severe incident — prevented before it ever reached staging or production.
"Optibot gives you a senior engineer who is very, very thorough, looking through everything in virtually no time. It feels like another individual giving a review."
Sean Coleman
Head of Security & Compliance, Soraban
The Problem
Manual Security Reviews Couldn't Keep Up with 10× Seasonal Traffic
From January to April, Soraban's platform handles 10× its normal traffic load. Code was shipping constantly. Every PR was going through a manual, human-based review — and when they tried to automate with SAST tools, the false positives overwhelmed the team.
- SAST tool alert fatigue — false positives were pulling hours away from engineers with nothing actionable to show
- No cross-module visibility — if new code broke something two modules away, no tool flagged it
- High incident cost — one missed vulnerability meant 50–100 person-hours to remediate and $10K+ in total cost
"We've tried and tested a handful of tools that ultimately didn't produce very consistent results... just the amount of false positives was pulling a lot of time away from the team."
Sean Coleman
Head of Security & Compliance, Soraban
The Solution
Optibot Replaced Manual Reviews and Noisy SAST Tools in One GitHub Integration
Soraban integrated Optibot directly into their GitHub workflow. It reviews every PR automatically, leaving precise, line-by-line comments like a senior engineer — with full awareness of what's happening beyond the PR boundary.
- Full-codebase context
Optibot understands your architecture and dependencies. It catches issues that only appear when new code interacts with something two modules away — the exact scenario legacy tools miss. - Surgical, line-by-line comments
No vague alerts. Optibot leaves contextual comments on specific lines, fitting naturally into the existing GitHub review workflow. - Zero false-positive noise
The team dropped their separate SAST tools entirely. Optibot now covers code quality, bug catching, and security review — all natively inside GitHub. - Instant install, zero friction
2-click install. The engineering team experienced zero resistance — Optibot communicates like a human reviewer, not a scanner.
"Optibot comes in very surgically, leaves comments in context of specific lines of code... It fits into our natural workflow. It has effectively filled the gap for us as our primary SAST tool."
Sean Coleman
Head of Security & Compliance, Soraban
The Results
2+ Hours Back per Engineer. 3–5 Threats Stopped per Month. Zero Tool Sprawl.
Standardizing on Optibot allowed Soraban to maintain high shipping velocity during their busiest season without sacrificing security or exhausting their senior staff:
- 3–5 monthly security deflections — issues caught before merge, before incident, before cost
- 2+ hours saved per engineer per week — no more chasing false alarms from legacy tools
- Zero SAST tool sprawl — Optibot replaced the full stack of noisy, scoped scanning tools
- SOC 2 compliance support — Optibot is now integral to their PR process and compliance workflow
- 100% team buy-in — because it communicates like a human, adoption was frictionless
"The new code we were introducing didn't have any issues directly, but it did impact related code and Optibot was able to reach into that side of things and flag it. That's when I started to see the power of Optibot."
Sean Coleman
Head of Security & Compliance, Soraban
The Impact in Numbers
Before and after metrics for Soraban's team using Optimal AI
Real numbers verified by the leaders using the tech.
| Metric | Before | After | Improvement |
|---|---|---|---|
| Review Overhead | Slow, manual first-pass review | Instant, AI-led first-pass review | 2+ Hours Saved / Engineer |
| Vulnerability Detection | Human-dependent, scoped to the PR | 24/7 AI guardrails with cross-module context | 3–5 Catches / Month |
| Signal-to-Noise | High false positives from legacy SAST | Surgical, contextual findings only | Eliminated Alert Fatigue |
| Security Risk | High during peak season (Jan–April) | Hardened CI/CD, guardrails year-round | Avoided $10K+ Incident Costs |
| Team Integration | Friction with clunky, noisy tools | Agentic UX — feels like a human reviewer | 100% Team Buy-in |
Cut cycle time by 50% and get visibility into engineering productivity
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