Financial Services

Risk-prioritized application security and audit-ready evidence for regulated financial software.

AI Security for Financial Services

Turn software risk into defensible decisions

Cortex helps financial services teams combine code and dependency findings, cloud configuration checks, and software bills of materials into prioritized risk assessments with evidence that can be traced from commit to release.

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Prioritized Risk

Combine code, dependency, and configuration signals
so teams can focus on findings with meaningful operational impact.

Traceable Evidence

Preserve the source, checks, results, and limitations
behind each assessment for governance and audit workflows.

Built for Regulated Delivery

Support reviewable security decisions from commit
through release while keeping approval with authorized teams.

Financial Services in Numbers

A Structured Software Risk Workflow

4

Signal types brought into risk assessment

8

Steps in the documented assessment workflow

4

Runtime and validation control categories

1

Traceable evidence chain from commit to release

Risk Assessment and Evidence

Cortex Cloud and DevSecOps bring application findings, deployment context, and software composition evidence together so financial institutions can prioritize risk, validate remediation, and produce reviewable outcomes.

Prioritized Risk Scoring: Direct attention to findings that merit action instead of presenting an undifferentiated alert list.

Fewer False Positives: Use deeper analysis and supporting evidence to reduce time spent investigating low-value alerts.

ASPM Integration: Bring application security posture data together with code, dependency, and cloud findings.

Code and Dependency Analysis: Review application source and third-party components for weaknesses affecting financial systems.

Cloud Configuration Review: Assess eligible infrastructure and deployment settings alongside application security results.

Software Bill of Materials: Account for release dependencies and preserve component visibility across the delivery process.

Secret Exposure Detection: Identify exposed credentials and sensitive values before they reach a production release.

Isolated, Bounded Assessments: Run security checks in contained environments with controlled resources and no outside network access.

Scoped Credentials: Use task-specific identities and permissions for repositories, cloud accounts, and connected services.

Human Approval: Require appropriate review before consequential changes or connected-service operations proceed.

Role-Aware Access: Separate visibility, administration, approval, and execution responsibilities across the organization.

Prompt Injection Defense: Treat retrieved content as context that cannot override security policies or user intent.

Controlled Data Context: Limit each workflow to the financial, project, and service information required for the task.

Remediation Verification: Validate proposed security fixes with relevant tests and clearly reported results.

Durable Task State: Keep long-running assessment progress recognizable through ordinary interruptions and reconnections.

Controlled Cloud Execution

Managed project environments use scoped permissions, credentials, network policies, resource limits, and validation gates to keep assessment work bounded and reviewable.

Audit-Ready by Design

Every assessment can preserve the source, configuration, checks, results, and limitations needed to understand what ran and how the outcome was reached.

Signed Release Evidence: Associate releases with an SBOM, signed attestations, and artifact digests for later verification.

Commit-to-Release Traceability: Connect source changes, assessments, validation results, and release evidence in one workflow.

Managed Build and Validation: Run eligible builds, tests, and runtime checks within Cortex Cloud’s controlled execution path.

Multi-Cloud Delivery Context: Review relevant AWS, Azure, and Google Cloud configuration as part of release risk.

GitHub-Native Review: Keep pull-request feedback close to developers while retaining deeper security evidence.

Audit-Ready Reporting: Give risk, engineering, and audit teams clear findings, evidence, scope, and limitations.