Detection You Can Defend. Action You Can Govern.
Financial services teams can’t afford blind spots. They need coverage they can prove across legacy and cloud, findings they can trust, and remediation that survives an audit.
Checkmarx Fusion adds frontier-model scanning on top of our hybrid rules-based and AI engine for more complete coverage – all inside your AWS boundary, at predictable cost, with every fix staying human-approved.
Built on Anthropic models in Amazon Bedrock.
Turn the AI Security Timeline Into Your Advantage.
FS-ISAC’s latest guidance to the sector is direct: meet AI-speed threats with AI-speed defense. See how Checkmarx helps financial institutions do exactly that in a working conversation with the team building it.
In its new Sector Risk Advisory, FS-ISAC – the industry body more than 5,000 financial institutions across 70+ countries rely on – describes how frontier AI has compressed the gap between finding a vulnerability and exploiting it from weeks to hours. The guidance is practical about the answer: its recommendation calls for using AI models for risk identification and remediation.
That is exactly what Checkmarx Fusion was built to do. See below what AI-speed defense looks like inside a financial institution’s environment and how to bring it into yours.
Security Built for Financial Services
Higher-Fidelity Detection
Broad, repeatable coverage across legacy and cloud, with trusted signals instead of a validation backlog.
Predictable AI Economics
Frontier-model analysis inside your AWS boundary, with costs and results you can forecast across the portfolio.
Governed Action
Correlated ownership, audit-ready evidence, and human-approved remediation with no automatic merge.
Frontier-Model Fidelity, Inside Your AWS Boundary.
Fusion workloads run in your own cloud environment, keeping your source code inside your boundary while giving you model choice. You get frontier-model detection with predictable cost and audit-ready evidence — not the variable output, long runtimes, and unforecastable token bills of a standalone AI scan. (Program funded through AWS co-marketing.)
How Checkmarx Fusion Helps
Next-Gen SAST and Findings Analysis Engine
Next-Gen SAST’s hybrid engine provides broad language and framework coverage across core policy, billing, and claims systems to find risk that traditional scanners miss. The Findings Analysis Engine (FAE) combines results from hybrid scans into a single validated view, separating exploitable risk from noise, so wider coverage doesn’t mean more false alarms.
Checkmarx Fusion (Anthropic on Amazon Bedrock)
Layers several curated, research-validated frontier AI-models onto Next-Gen SAST’s hybrid engine to detect novel vulnerabilities with no known rule, prior CVE, or signature. It’s model-agnostic by design, so you’re never locked into a single approach.
ASPM and Risk Orchestration
Correlates code, API, OSS, and partner risk across one insurance workflow, assigning every finding a clear owner across internal, offshore, and vendor teams — with decision history as evidence.
Developer Assist and Triage & Remediation Assist
Developer Assist catches risk at creation; Triage Assist makes contextual decisions on eligible findings; Remediation Assist delivers review-ready guidance in the pull request — so verified risk reaches the right owner with a safe review path.
SCA and API Security
Brings open-source and partner dependencies, API inventory, and runtime exposure into one risk picture — cutting through the fast-changing sprawl created by claims, underwriting, and distribution integrations.
Testimonials
Discover How a Financial Leader Unified AppSec at Scale
Read the Case StudySee How Trade-Van Cut Scan Times from 48 Hours to Minutes
Read the Case Study
Trusted Coverage With
One Path to the Owner.
See Checkmarx Fusion work in your own environment.