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AI security for regulated financial workflows

Financial Services AI security.

Secure GenAI assistants, analyst copilots, customer operations, and agentic workflows across banking, capital markets, payments, and wealth management.

Industry Context

AI risk follows the workflow.

Financial institutions are adopting AI where sensitive customer records, trading context, portfolio data, fraud signals, and regulated communications intersect.

Govern analyst use of external AI tools when prompts may contain client, deal, or portfolio information
Protect customer-service copilots connected to CRM, case history, and account workflows
Red team RAG assistants that retrieve policy, research, risk, or transaction documentation

Kavalan Controls

A shared control plane for people, agents, data, and tools.

Kavalan maps industry-specific AI risk into enforceable policies, runtime decisions, red team evidence, and executive reporting.

Prompt and file DLP for MNPI, PII, credentials, source code, and customer records
Runtime policy for agent tool calls, transaction-adjacent actions, and high-risk automations
Executive evidence for model risk, compliance, audit, and security governance programs

Outcomes

Designed for executive trust and operational adoption.

Reduced shadow AI exposure
Safer AI-assisted operations
Board-ready AI risk visibility

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Secure the AI your enterprise runs on.

See how Kavalan helps security and AI teams govern workforce AI, protect agentic systems, and continuously validate GenAI risk.