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Adaptive SAST Platform

Catch Vulnerabilities at Source. Validated. Fixed. Automatically.

Detect authorization flaws, business logic vulnerabilities, and multi-tenant data leaks during development not in DAST or VAPT. Exploit validation proves it’s real. AI auto-fix generates patches in seconds.

  • Exploit validation only report what’s actually exploitable
  • Auto-generated fixes patches ready in seconds, not hours
  • Shift left catch at source, reduce manual VAPT effort by 70%
meetspotter.dev/dashboard
Spotter Security Dashboard
Trusted by teams building
Multi-Tenant SaaS Fintech Platforms Enterprise APIs B2B Platforms
The Solution

Shift Left. Validate. Fix. Automatically.

Spotter brings DAST-level confidence to SAST-stage detection. Find vulnerabilities at source, prove they’re exploitable, and get the fix all before code review.

Exploit Validation

Every vulnerability is validated with automated proof-of-concept testing. Only genuinely exploitable issues are reported. 94% reduction in false positives.

AI-Powered Auto-Fix

AI generates context-aware remediation patches automatically. Get pull requests with fixes ready for review no manual coding required. Seconds, not hours.

Shift-Left Detection

Catch authorization flaws, business logic vulnerabilities, and multi-tenant data leaks at the SAST stage not weeks later in DAST or VAPT.

Context-Aware Analysis

Learns your codebase patterns, maps data flows, understands business logic, and recognizes your framework conventions Rails, Django, Spring, Express.

Modern Vulnerability Focus

Authorization bypass, IDOR, business logic flaws, multi-tenant data leaks, race conditions the vulnerability classes that cause today’s breaches.

AI-Generated Code Expertise

Superior understanding of AI-produced code. Catches hallucinated auth checks, insecure patterns from Copilot, Claude Code, ChatGPT, and Cursor.

Comparison

How Spotter Compares

See the difference between traditional SAST and Spotter’s adaptive approach across every dimension that matters.

Capability Traditional SAST DAST / VAPT Spotter
False Positive Rate 53% (industry avg) 10–15% <6% (94% reduction)
Authorization Flaw Detection Pattern matching only Manual testing Context-aware + validated
Business Logic Vulnerabilities Limited patterns Manual analysis Understands workflows & state
Multi-Tenant Data Leaks Can’t understand tenancy Limited coverage Analyzes tenant isolation
Exploit Validation No Manual PoC Automated PoC testing
Automated Fixes No No AI-generated patches in PRs
AI-Generated Code Analysis Same as human code N/A Specialized AI code analysis
Time to Fix Hours per vulnerability Hours per vulnerability Seconds with auto-fix
Time to Results Minutes (shallow) 2–4 weeks Minutes (deep)
Cost Per Finding ~$1,000 ~$600 $0.05
How It Works

From Detection to Fix in Minutes, Not Weeks

Six steps from integration to continuous improvement. Deploy in minutes, start catching real vulnerabilities immediately.

1

Integrate

Connect to your IDE or CI/CD pipeline. Works with GitHub, GitLab, Bitbucket, Jenkins. Deploy in minutes.

2

Learn

Adaptive engine analyzes your codebase structure, authorization patterns, and business logic. Maps your framework conventions.

3

Detect

Context-aware scanning finds authorization flaws, business logic vulnerabilities, and multi-tenant data leaks other tools miss.

4

Validate

Automated proof-of-exploit testing validates every finding. Only reports vulnerabilities that are actually exploitable. No false positives.

5

Auto-Fix

AI generates context-aware patches for every validated vulnerability. Creates pull requests ready for review. Fix in seconds.

6

Improve

Continuous learning adapts to your team’s patterns, reduces noise, and improves accuracy with every scan.

Case Study

Real Vulnerability, Real Impact

A real IDOR vulnerability discovered in a 28-service fintech platform in 10 minutes for $3.

Critical CVSS 9.1

IDOR Vulnerability in Fintech Admin API

A customer could change a URL parameter (/admin/customer/123/admin/customer/999) and access any other customer’s full financial profile portfolio, balances, PII.

SonarQube Checkmarx Snyk Code
10 min Time to detect
$3 Scan cost
$2.5M+ Estimated breach cost avoided
Read Full Case Study →
Spotter Findings   Vulnerability detection and triage
Built For You

Built For Teams Who Can’t Afford to Wait for VAPT

Whether you’re a developer, security lead, or CISO Spotter solves your specific pain points.

Development Teams

Building multi-tenant SaaS? Your authorization logic is complex. Traditional SAST generates hundreds of false positives while missing critical tenant isolation flaws.

  • Catch auth & multi-tenant vulns at source
  • Exploit validation only real issues reported
  • Auto-generated fixes ship without bottlenecks

Security Teams

53% of SAST alerts are false positives. You spend weeks triaging noise while real authorization flaws only surface in VAPT too late, too expensive.

  • Only actionable, validated findings
  • 70% of VAPT findings caught at SAST stage
  • Auto-fix accelerates remediation to days

Enterprise Engineering

Business logic spans dozens of services and is your attack surface. Authorization vulnerabilities can’t be found with pattern matching alone.

  • Context-aware analysis understands business logic
  • Validates in your specific architecture
  • Learns your codebase, gets smarter over time

AI-Forward Teams

Copilot, Claude Code, ChatGPT accelerate you but introduce hidden risks hallucinated APIs, missing context, subtle auth bypasses that traditional SAST can’t catch.

  • Superior understanding of AI-generated code
  • Catches LLM hallucinations before they ship
  • Validates security in AI-produced code
94%
Reduction in false positives
70%
VAPT findings caught at source
More findings vs. leading SAST tools
$0.05
Cost per finding vs. $600+ for DAST
Why Teams Trust Spotter

Real Vulnerabilities. Real Results.

Spotter catches the vulnerabilities that cause breaches not just the ones that fill reports.

“Spotter found 3 CRITICAL cross-service vulnerabilities that SonarQube, Semgrep, and Snyk all missed. In 10 minutes. For $3.”

VP
VP Engineering
Series B Fintech Platform

“We were missing tenant isolation issues in code review. Spotter caught 12 cross-tenant data leaks before they reached staging.”

CT
CTO
Multi-Tenant B2B Platform

Stop Waiting for DAST.
Catch, Validate & Fix at Source.

Join forward-thinking engineering teams shifting security left. See what your current tools are missing in 20 minutes.

Schedule a Demo

Free demo scan on your codebase. No commitment required.

FAQ

Frequently Asked Questions

Traditional SAST uses pattern matching to find syntax-level vulnerabilities. Spotter uses ML-powered, context-aware analysis to understand your application’s authorization model, business logic, and architecture. Plus, Spotter validates exploitability (eliminating false positives) and generates fixes automatically.
No. Spotter catches 70% of authorization and business logic flaws at the SAST stage, dramatically reducing manual VAPT effort. You still run DAST/VAPT, but with far fewer surprises, faster completion, and lower cost.
Spotter automatically generates safe proof-of-concept tests for every potential vulnerability. Static analysis detects the issue, Spotter generates an isolated PoC test, validates exploitability in your environment, and only genuinely exploitable issues are reported. All testing is safe no risk to production data.
Initial integration: 5–15 minutes. Connect to GitHub/GitLab/Bitbucket, install CI/CD plugin or IDE extension, configure scan triggers. Adaptive learning takes 2–3 scans. Full value within 1 week.
Yes. Spotter can be deployed as our managed cloud service, self-hosted on-premises or in your VPC, or as a hybrid with analysis in your environment and validation in our secure sandbox. We never train on your code without explicit permission.