Checkmarx for legacy enterprise. Securie for AI-built apps.
Checkmarx is another legacy SAST player. Same architectural mismatch with AI-built apps as Veracode: slow scans, FP-heavy, dashboard-only.
Checkmarx users searching for alternatives often cite the configuration overhead + scan times + FP rate. Modern AI-built-app workflows need different architecture.
Why people leave Checkmarx
- Same scan-time + FP-rate problems as Veracode
- Configuration overhead (manual rule tuning per project)
- Dashboard-only workflow
- Enterprise-only pricing
Where Checkmarx actually breaks down
Configuration overhead
Example: Per-project rule tuning required for low-FP results.
Impact: Dedicated headcount needed; small teams can't afford.
Slow scan times
Example: Hours-to-overnight typical.
Impact: Doesn't fit PR-time workflow.
Dashboard-only
Example: Findings live in Checkmarx UI, not on the PR.
Impact: Engineers don't see during code review.
No AI-built-app specialist depth
Example: Same gap as Veracode.
Impact: April 2026 wave bug classes uncovered.
Why Securie instead
30-90s scan time vs hours
Securie scans every PR in 30-90s.
Sandbox-verified findings
Prove-don't-flag = zero FP by construction.
Specialist fleet on AI-built apps
Supabase RLS + BOLA + Lovable-pattern + .claude/ credential leaks.
Feature matrix — Checkmarx vs Securie
| Area | Checkmarx | Securie |
|---|---|---|
| Scan time | Hours-overnight | 30-90s |
| Configuration overhead | High (per-project tuning) | Zero (out-of-box specialist fleet) |
| FP rate | High without tuning | Zero (sandbox-verified) |
| Workflow | Dashboard | PR comments |
| Pricing — Indie | N/A | $12/mo |
The deeper tradeoff
Checkmarx's architecture mirrors Veracode's: polyglot SAST optimised for batch scans + dashboard workflow. Same gaps for AI-built apps: scan time, FP rate, workflow mismatch, no specialist depth on Supabase / Lovable / .claude/ patterns.
The configuration-tuning axis is the additional Checkmarx-specific friction. Out-of-the-box, Checkmarx's FP rate is high; achieving low-FP results requires per-project rule tuning that small teams can't afford.
For enterprises with dedicated AppSec teams running polyglot legacy code + with the budget for ongoing tuning, Checkmarx's coverage breadth still earns its place. For everyone else, the architectural fit is wrong.
Pricing
Checkmarx: $60K-$150K ARR. Securie: $12-$299/mo.
Migration path
- Install Securie GitHub App
- Run parallel 2 weeks
- Sunset Checkmarx for AI-app surface
Extended migration playbook
Step 1: Inventory Checkmarx findings
What: Export current open findings + tuning rules.
Why: Migration baseline.
Gotchas: Tuning rules don't translate; Securie is out-of-box.
Step 2: Install Securie GitHub App
What: One-click per repo.
Why: Replaces Checkmarx's batch scan with PR-time specialist fleet.
Gotchas: Configure branch protection.
Step 3: Sunset Checkmarx
What: Cancel renewal for AI-app surface.
Why: Cost + workflow improvement.
Gotchas: Keep for genuine legacy polyglot if applicable.
Pick Securie if…
AI-built apps + small + mid teams.
Stay with Checkmarx if…
Legacy polyglot enterprise + dedicated AppSec teams.
Common questions during evaluation
Does Securie need configuration?
No — out-of-box specialist fleet auto-detects stack. Cursor / Lovable / Bolt / v0 / Replit / Claude Code all auto-detected via package metadata.
What about Checkmarx's compliance reports?
Securie's DSSE attestation chain produces equivalent + auditor-verifiable evidence.
Is Checkmarx better at any specific bug class?
Polyglot legacy code (Java EE, .NET WebForms, COBOL) — Checkmarx's catalog runs deeper. Modern stacks: Securie's specialist depth wins.
How fast can I switch?
2-week parallel run is the standard validation period; sunset Checkmarx after.
Verdict
Checkmarx earns its place in dedicated-AppSec-team enterprise polyglot environments. For AI-built apps + small/mid teams, the configuration overhead + scan time + FP rate make Securie the architectural fit.