KonaSense is a platform designed to govern and secure human-to-AI interactions within enterprise environments. It operates as an intermediary layer between employees and AI tools, providing visibility, policy enforcement, and audit capabilities across the full range of GenAI usage in the workplace. The platform addresses several gaps in traditional security tooling when applied to AI use cases, including shadow AI discovery, prompt-layer blind spots, uncontrolled AI actions, and compliance evidence requirements. KonaSense is composed of three core components: - Sensors: Deployed at the point of use (browser, IDE, desktop AI tools) to evaluate prompts, file uploads, and model outputs in real time. - Control Plane: Centralized enforcement layer for identity-aware policy, approvals, and workflow governance. - Governed Workflows: Automated detection, enrichment, and response pipelines. Key functional areas include: - Shadow AI Discovery**: Identifies all GenAI tools in use across the organization, including embedded AI in SaaS applications and unmanaged browser extensions, categorized by risk tier. - Real-Time Protection: Blocks, redacts, or coaches users at the moment of interaction with AI tools. - Sensitive Data Prevention: Detects and redacts PII, source code, credentials, and regulated data before it exits the user's device. - Prompt Injection Defense: Blocks malicious instructions embedded in files, webpages, or RAG sources. - Action Governance: Enforces constraints on tool usage, data access, and AI-initiated actions, with human-in-the-loop approval for sensitive operations. - Investigation-Grade Evidence: Captures full interaction context including prompts, uploads, tool calls, and policy decisions for audit and incident response purposes. The platform targets compliance with regulations such as the EU AI Act and supports SOC 2 readiness via Vanta.