Cycling through all six. Tap any point to stop.

Measured on six things

An AI governance platform that stops employees from leaking sensitive data into unapproved AI tools

Growth

Pre-launch waitlist stage with no reviews, GitHub activity, or external traction. Pricing published but no customer base or community signals.

Screenshots

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ShadowLock

About this app

ShadowLock is a shadow AI detection and governance platform that gives MSPs and IT teams real-time visibility and control over how employees use AI tools, before sensitive data leaves the endpoint. It covers the blind spots managed-device controls miss: browser extensions, desktop AI apps, local LLMs like Ollama, and personal accounts. A browser extension intercepts and classifies risky pastes to AI sites, a Windows agent blocks desktop AI apps and deploys silently via your existing RMM, and a multi-tenant dashboard lets you audit or block each control with audit-ready reports. Built for MSPs to govern AI across every client from one place, and private by design with no keystroke logging and zero content transmission.

Key features

13-layer coverage: Windows agent, browser extension, M365 OAuth scanner for desktop AI, extensions, and personal accounts.
2Policy engine with allow/warn/block per tool/org/user plus sensitive data interception and training opt-out enforcement.
3Multi-tenant MSP dashboard with RMM silent deploy, audit reports, and cross-org risk views.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

MSPs and IT service providers managing multiple clients

Pain points

No visibility into which AI tools client employees are using; unable to prove governance when auditors or insurers ask; liability gap when client has an AI incident

Primary needs

Multi-tenant dashboard, silent RMM deploy, cross-org risk reporting, per-client policy management

Demographic

IT administrators in mid-to-large enterprises

Pain points

Employees bypass enterprise controls using personal AI accounts; sensitive data pasted into unapproved AI tools; no simple way to enforce AI acceptable use policy

Primary needs

Easy deployment, low false-positive alerts, endpoint coverage without user friction, compliance evidence

Demographic

Compliance and security officers responsible for audit readiness

Pain points

AI governance questions now appear in audits and insurance forms; no audit trail for AI usage; trade secret and IP exposure via public AI tools

Primary needs

Audit-ready logs, policy enforcement evidence, data classification at the source, incident response defensibility

Scout Review

Written by AI from measured evidence, scored out of 100.

ShadowLock targets a real MSP blind spot in shadow AI governance with endpoint, browser, and cloud layers plus multi-tenant reporting. Its design and feature transparency are strong selling points, but pre-launch status, missing certifications, and lack of accessibility/growth signals keep it early-stage. It differentiates from complex peers by focusing on silent RMM deploy and low-friction policies.

Measure by measure

Usability

Comprehensive feature docs, FAQ, and policy engine details make it easy to understand conceptually. Waitlist-only with no live demo limits real testing.

Design

Polished, modern landing page with strong visual hierarchy, relevant stats, and clear MSP-focused messaging. Consistent branding and interactive policy examples.

Speed

Site itself appears lightweight and fast-loading. No benchmarks, user reports, or tech stack details available to verify runtime performance.

Security

Strong privacy claims (no logging/transmission) and audit logs for MSPs. Lacks any third-party certifications, audits, or detailed security documentation.

Accessibility

No mentions of WCAG compliance, alt text, keyboard support, or multi-language features. Standard web accessibility unverified.

Growth

Pre-launch waitlist stage with no reviews, GitHub activity, or external traction. Pricing published but no customer base or community signals.

Improvement areas

Obtain third-party security certifications (SOC 2) and publish a trust center.
Add public demo/trial and accessibility documentation for broader appeal.
Accelerate launch and gather independent reviews to build credibility vs. Netskope/Zscaler.

Design & Usability

ShadowLock's site delivers a clean, professional design tailored to MSPs with clear sections on shadow AI risks, three-layer coverage (endpoint agent, browser extension, M365 scanner), and a flexible allow/warn/block policy engine. Usability shines in the detailed explanations and FAQ that address real pain points like personal accounts and audit readiness, making the value proposition easy to grasp. However, being in waitlist/pre-launch mode means no live onboarding or demos, so practical flow remains untested. Compared to alternatives like Netskope, it positions itself as simpler and MSP-specific rather than enterprise-heavy.

Speed & Security

The marketing site loads efficiently with minimal bloat, suggesting good underlying web performance, though no runtime benchmarks exist for the agents or dashboard. Security emphasizes privacy-by-design with zero content transmission and audit logs for compliance, directly targeting MSP liability gaps that Netskope and Zscaler address more broadly but with greater complexity. Lacking certifications like SOC 2 (common in peers), it relies on transparent claims. This makes it promising for quick MSP deployment via RMM but requires trust in unverified controls versus established DLP suites.

Accessibility & Growth

Accessibility is a clear gap—no WCAG mentions or platform details beyond Windows focus—putting it behind category norms where enterprise tools often document multi-device and inclusive support. Growth is minimal as a new entrant: waitlist-only with zero independent reviews, GitHub presence, or traction signals, unlike mature alternatives with G2 footprints. Pricing is transparent and volume-tiered ($0.80–$1.00/device/mo), a strength for MSPs, but building community and proof will be essential to compete with Zscaler or Forcepoint's established scale.

Conclusion

For MSPs tired of AI incidents slipping past managed controls, ShadowLock offers a targeted, private solution worth watching once live. Enterprises may prefer certified alternatives until it matures.

Suggestions for improvement

Add live demo or trial signup to boost usability testing.
Publish security certifications and a dedicated trust page.
Implement WCAG 2.1 AA compliance and document accessibility features.
Build GitHub presence or community (Discord/Slack) for growth traction.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	ShadowLock	Netskope	Zscaler	Forcepoint DLP
Shadow AI coverage (browser extensions, desktop apps like Ollama, personal accounts)	Full: agent + extension + M365 scanner; blocks pastes/uploads at endpoint	Strong CASB/web but limited endpoint/desktop app detection	Web/DLP focus; weak on local desktop AI apps and extensions	DLP monitoring possible but heavy config, no MSP multi-tenant focus
MSP multi-tenant dashboard & RMM deploy	Native multi-tenant with silent RMM deploy and per-client policies	Enterprise-focused; complex for MSPs, no native RMM emphasis	Web proxy model; limited endpoint/MSP multi-tenancy	Heavy enterprise DLP; not designed for MSP client management
Pricing model	Per-device/mo: $1.00 down to $0.80 (volume tiers); all features included	Complex/expensive enterprise licensing	Subscription-based, often higher for full DLP	High config/enterprise pricing, not MSP-optimized