New risk in financial services development
AI code outpaces AppSec.
Banks and financial services teams using Copilot, Claude Code, and Cursor generate code faster than traditional scanners can review, and that code carries more risk.
Compliance can't fall behind.
PCI DSS, GLBA, and ISO 27001 expect full visibility into how software is built. Every new API and third-party integration expands what you must account for.
Backlogs grow, budgets don't.
Faster development means more findings and more noise, leaving less time to determine which vulnerabilities actually threaten regulated data.
AppSec wasn't built for financial services' pace.
Traditional AppSec
Finds issues after production
Scores risk by generic CVSS
Backlogs outgrow team capacity
Slows releases with late findings
Agentic
Prevents issues before commit
Prioritizes by regulated data risk
Remediates autonomously
Fits existing developer workflows
Meet
AgenticAppSec.
Legit brings prevention, context, and autonomous remediation into a single platform, so financial services teams secure AI-driven development without slowing releases.
Stop vulnerabilities before they reach your repo.
Scan AI-generated code in real time as developers work in Cursor, Copilot, or Claude Code, resolving issues before the first commit.

Focus on what threatens regulated data.
Score every finding by proximity to customer-facing systems and regulated workflows, not generic CVSS severity.

Fix root causes and validate automatically.
Autonomous agents generate fixes, open pull requests, and rescan code to confirm each vulnerability is resolved.

What changes with Legit
Prevent vulnerabilities earlier. Prioritize the risks that matter. Automate remediation.
Every remediation and prevented vulnerability builds toward continuous, audit-ready compliance instead of point-in-time reviews.
AI-powered correlation reduces total vulnerability noise by more than 90%, freeing analysts to focus on regulated risk.
Secrets scanning across code, Git history, and build logs cuts false positives by over 95%, protecting API keys and customer data.
























More insights for modern AppSec teams

Stop Drowning in the 30%
A product security engineer described their AppSec pipeline as roughly 70% automated and 30% still manual. That manual slice is where teams get stuck, and where context-aware prioritization belongs.

Agentic Remediation Just Got Bigger: Now Fixing Vulnerabilities in Your Dependencies, Not Just Your Code
Legit Security's Agentic Remediation now tackles vulnerabilities in dependencies, ensuring faster, verified fixes and enhancing AppSec in an AI-driven landscape.



Secure financial services at speed
See how Legit protects financial services applications across your SDLC, without slowing down releases.



