We started ShadowWatch after watching a slow, quiet disaster unfold.
Employees weren't doing anything wrong. They were using AI to work faster. The data leaving their screens was the biggest uncontrolled loss we'd ever seen, and almost no one could see it.
Built by security engineers from GE, WhiteHat Security, Hewlett Packard Enterprise, and Malwarebytes.
The state of AI at work
Who We Are
ShadowWatch was founded in 2026 by a team of security engineers and product builders who saw a critical gap in the market. As AI tools like ChatGPT and Claude transformed how teams work, organizations had no way to govern their use. Employees were sharing sensitive data with AI systems, and security teams had zero visibility.
We've spent decades building security products at companies like General Electric, WhiteHat Security, Hewlett Packard Enterprise and Malwarebytes. We've seen how traditional security tools fail when they make it hard for employees to do their jobs. So we built ShadowWatch differently: a security tool that your team will actually want to use.
Today, we're onboarding customers directly (healthcare practices, financial firms, law firms, and technology companies) so we can stay close to how the product is actually used. That includes the MSPs and MSSPs who govern AI on behalf of their clients, with per-tenant policies and metered billing built for that model. Our team is united by the belief that security and productivity aren't mutually exclusive.
How ShadowWatch covers AI
Governance that meets your team where they already work, with the evidence your auditors actually need.
Evidence your auditors can trust
Source AI-use logs, policy events, and redaction records you hand to HIPAA, SOC 2, and GDPR auditors, not a vendor's self-attested report.
Known and unknown AI, caught
Known providers get named blocks and warnings; novel or unknown AI is flagged and audited rather than missed. No static blocklist to keep current.
Deploys where your team already works
A lightweight browser extension for Chrome, Edge, Brave, Opera, and Vivaldi, governing browser-based AI on the browsers your team already manages.
What We Don't Do
A governance company lives or dies on trust. Here's where ShadowWatch stops, so you know exactly what you're buying.
- We don't promise that prompts "never leave the device." Risk scoring runs locally, but prompt text is sent to your backend for governance and alerting, with sensitive patterns auto-redacted before storage.
- No keystroke logging or passive surveillance. We capture prompts at submit time, not everything your team types.
- We don't keep data longer than your plan allows (7, 90, or 365 days). Export or delete audit data on your schedule.
- No endpoint agents to deploy or maintain. ShadowWatch runs as a lightweight browser extension pushed through MDM, so there's no persistent endpoint or desktop software to install on every machine.
Our Values
The principles that guide everything we do.
Visibility before control
You can't govern what you can't see. We build the audit trail first, then the controls, so every decision rests on what's actually happening in your browsers.
Productivity over policing
Draconian controls push people underground. We meet employees where they already work and steer them toward safe AI, without slowing down the work.
Evidence, not promises
We give you a queryable record of what was shared, when, and by whom. No vendor self-attestation; the proof is in the trail.
Honesty about the limits
We're clear about what ShadowWatch does and doesn't cover. We govern the browser layer, not the desktop, and we say so.
Get in Touch
Have questions about ShadowWatch? We'd love to hear from you.