The People First Platform for AI Security
Governance View — Visibility & Policy
The Human Layer for AI Security
KonaSense sits in the workflow between employees and AI tools. It gives security teams visibility, control, and protection at the moment of use, across browsers, IDEs, and desktop AI tools. Every interaction flows through the Control Plane where identity, policy, and evidence come together.
One platform. One console. One source of truth.
Governance
Visibility, policy control, approvals, and compliance evidence
Security
Real-time threat defense, shadow AI enforcement, data protection
Observability
Usage analytics, behavioral drift detection, operational insights
Governance View
Visibility, policy control, and compliance evidence for every AI interaction.
Get a clear, accountable view of AI usage across your organization. Enforce the policies that guide safe, responsible behavior. Detect shadow AI, classify data, and produce audit-ready evidence.
- Shadow AI discovery: map every tool, extension, and model in use
- Policy control aligned with roles, departments, and data classifications
- Human-in-the-loop approval workflows for sensitive actions
- Data classification and access mapping across all AI interactions
- Audit-ready compliance bundles for SOC2, EU AI Act, ISO 27001
Security View
Real-time protection against data exposure, prompt injection, and unsafe AI behavior.
Continuously safeguard your organization by detecting threats, preventing data leakage, and enforcing safe AI interactions. The platform blocks, redacts, alerts, and responds in real time.
- Detect and redact PII, secrets, and source code before they reach any model
- Catch tokens, keys, and credentials in prompts and uploads
- Block prompt injection attempts from files, webpages, and RAG sources
- Enforce shadow AI policies: block or redirect users to approved tools
- Automated incident triage: create tickets, suggest containment, alert your team
Observability View
Usage analytics, behavioral monitoring, and operational insights across your organization.
Continuous insight into AI usage across every team and tool. Highlight trends and anomalies, surface the signals your teams need to reduce risk, and optimize AI adoption.
- Adoption analytics and risk scoring by team, tool, and model
- Measure which controls actually reduce risk
- Behavioral drift and anomaly detection across users and departments
- Investigation-grade session replay for incident response
- Token usage, model usage patterns, and spend tracking
All three views run on the same Control Plane: identity, policy, approvals, audit, and telemetry in one console.
Where KonaSense Connects
Sensors at every point of use. Browser, IDE, desktop, agentic tooling, and cloud. One Control Plane governs them all.
Browser Extension
Chrome and Edge sensor for ChatGPT, Gemini, Copilot, and 50+ AI tools
Intercepts prompts, uploads, and AI responses in real time. Block, redact, and coach at the point of use.
- •Real-time block, redact, and coach at the prompt layer
- •Feeds telemetry into the Control Plane
- •Deploy in minutes via managed browser policies
VS Code and Cursor Plugin
IDE sensor for AI-assisted coding workflows
Monitor Copilot, inline completions, and chat interactions inside the IDE. Enforce coding policies where developers work.
- •Capture AI suggestions and chat prompts in the IDE
- •Policy enforcement for code completions and AI chat
- •Same Control Plane telemetry as all other sensors
KonaProxy for Desktop
Local proxy for desktop LLM clients
Routes native AI traffic from ChatGPT Desktop and similar tools through the Control Plane. Full policy enforcement for desktop AI.
- •ChatGPT Desktop, Claude Desktop, and similar tools
- •Local proxy with no cloud dependency for traffic routing
- •Unified telemetry alongside browser and IDE sensors
MCP Governance
Govern MCP tool calls inside VS Code and Cursor
Capture and govern MCP tool calls and agentic actions in the IDE. Enforce what tools can run, what data they access, and what actions they take.
- •Visibility into every MCP tool invocation
- •Policy-based allow, block, and audit for tool calls
- •Human approval workflows for sensitive agentic actions
AWS Bedrock Connector
Connect Bedrock workloads to the Control Plane
Policy enforcement and telemetry for your AWS Bedrock deployments. Extend governance to cloud-hosted model interactions.
- •Policy enforcement for Bedrock model invocations
- •Telemetry and audit trails in the same console
- •No changes to your existing Bedrock integration
All sensors feed into the same Control Plane: identity, policy, approvals, audit, and telemetry in one console.
How KonaSense Works
A real-time pipeline that intercepts, analyzes, protects, and reports on every AI interaction
Protection at the Point of Use
Lightweight sensors capture every AI interaction across browsers, IDEs, and desktop tools. They intercept prompts, uploads, and responses in real time, enforcing block, redact, and coach actions before data leaves the user's device.
- Browser Extension for Chrome and Edge: real-time interception of ChatGPT, Claude, Gemini, Copilot, and 50+ AI tools
- VS Code and Cursor Plugin: monitor AI-assisted coding, inline completions, and chat interactions
- KonaProxy for Desktop: route native AI traffic from ChatGPT Desktop and similar tools through the Control Plane
- All sensors stream identity-bound telemetry to the Control Plane for policy evaluation
Tool Tip
Sensors are your first line of defense. They protect every AI interaction at the point of use and stream signals to the Control Plane for enforcement and evidence.
Featured KonaSense Cases
Real scenarios where sensors capture, the Control Plane evaluates, and governed workflows respond.
Shadow AI Sprawl
Employees use personal accounts and unapproved tools, bypassing security and compliance. KonaSense sensors detect shadow AI, the Control Plane classifies risk, and governed workflows enforce policy and redirect users.
What KonaSense Detected
- Sensors detected personal ChatGPT, Claude, and Gemini accounts used for work tasks.
- Unapproved AI browser extensions identified scraping corporate data.
- The Control Plane classified each tool by risk tier and mapped usage across departments.
- Governed workflows blocked high-risk tools and redirected users to approved alternatives.
- Users received real-time coaching when policy violations were detected.
Works with All Major AI Platforms
One platform for ChatGPT, Claude, Gemini, Copilot, and every AI tool your teams use