Customer data leaking at the location level
Local staff paste customer lists, payment details, and contact records into AI tools to write promotions or replies, with no oversight from the brand.
AI Risk for Franchises
Standardize AI safety across every location you do not control
Franchisees adopt AI tools on their own, with their own logins and their own data habits. KonaSense gives the franchisor one place to see usage and enforce brand and customer data policy everywhere.
Where AI Creates Risk in Franchising
A franchise network is hundreds of independent operators making their own AI choices. That fragmentation makes consistent protection nearly impossible without a shared control layer.
Brand and policy inconsistency
Every location uses different AI tools in different ways. The brand has no way to enforce a single standard for data handling or messaging.
No visibility across the network
The franchisor cannot see which AI tools are used, by whom, or with what data across hundreds of franchisees.
Reputational and legal exposure
One location mishandling customer data with AI can create a privacy incident that damages the entire brand.
How KonaSense Closes the Gap
KonaSense lets the franchisor set one policy and apply it everywhere, while each location keeps the speed of AI for marketing, support, and operations.
Observability
Continuous, real-time visibility into every AI interaction across the organization, whether it comes from a person or an agent.
- Map the AI tools, extensions, and models in use across the browser
- Adoption analytics by team, role, and location
- Behavioral drift and anomaly detection
- Investigation-grade session replay
- Token and spend tracking across models
Security
Real-time protection against data exposure, prompt injection, and unsafe AI behavior, enforced at the point of use.
- Detect and redact PII, secrets, and source code
- Block prompt injection from files and RAG sources
- Enforce shadow AI policies with block or redirect
- Automated incident triage and containment
- Credential and API key detection in prompts
Governance
Policy control, compliance evidence, and human-in-the-loop oversight across every AI workflow.
- Role and department-aligned policy controls
- Human-in-the-loop approval workflows
- Data classification across all AI interactions
- Audit-ready bundles for SOC 2 and ISO 27001
- Board-ready AI risk reporting
Skills, Not Just DLP
DLP matches patterns in data and asks one question: is something sensitive here. KonaSense Skills evaluate the context, role, and consequence behind each AI interaction, so they can block, coach, or require human approval based on what is actually happening. Skills are configurable to the specific challenges of your business.
Locations using customer lists in uncontrolled AI outreach
Example prompt“Write a promo blast to these 4,000 customers and paste their names, emails, and order history.”
KonaSense responseKonaSense detects bulk customer PII paired with uncontrolled outbound messaging. It coaches the location into the approved, on brand template workflow that respects consent and brand policy.
Why DLP misses itDLP can catch emails and phone numbers, but it cannot enforce brand and consent policy or redirect staff to an approved workflow.
One policy that must hold across locations the brand does not control
Example prompt“A franchisee installs a new AI extension and starts pasting POS exports into it.”
KonaSense responseKonaSense applies the franchisor policy everywhere at once, blocking unapproved tools and unsafe data flows while still letting locations use sanctioned AI.
Why DLP misses itEndpoint DLP is deployed and tuned per device. It cannot give a franchisor one consistent control plane across hundreds of independent operators.
One Control Plane for Human and Agentic AI.
KonaSense sensors capture AI interactions in managed browsers and supported coding agents, with no code changes required and deployment in under a day.
Chrome and Edge sensor covering ChatGPT, Gemini, Copilot, Claude, and more than 50 AI tools. It intercepts prompts, uploads, and responses in real time with block, redact, and coach actions at the point of use.
More information →Real-time governance for developer AI agents across VS Code, Claude Code, GitHub Copilot, Cursor, Codex, and Codex CLI. It intercepts tool calls and agent actions before execution with cryptographic audit evidence.
More information →One AI standard for every location
Get the AI Risk Brief for Franchises and see how brands protect customer data across an entire network.