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AI security for builders and product teams

Technology AI security.

Secure employee copilots, AI-native product features, developer agents, support assistants, and internal knowledge systems.

Industry Context

AI risk follows the workflow.

Technology companies face AI risk across source code, secrets, customer telemetry, product documentation, support data, and autonomous engineering workflows.

Prevent source code, secrets, roadmap details, and customer data from leaving through unmanaged AI tools
Protect production AI features from jailbreaks, prompt injection, data leakage, and tool abuse
Continuously red team agents, RAG apps, and model workflows before and after release

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.

Developer-aware DLP for code, credentials, customer data, and proprietary architecture
Runtime SDK and gateway controls for production GenAI applications
Security engineering evidence for vulnerabilities, fixes, retests, and release readiness

Outcomes

Designed for executive trust and operational adoption.

Safer AI product launches
Protected IP and customer data
Faster security review cycles

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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.