Shadow AI Visibility & Governance
Gain full visibility into every unsanctioned AI tool, data category, and exposure point across the organization, closing the blind spot traditional network DLP misses.
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Wald AI DLP
On-Device DLP That Stops Shadow AI Risk Before It Starts
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Company Overview
Wald.ai is an enterprise AI security and privacy company focused on helping organizations adopt Generative AI safely. The company was founded in 2023 by Vinay Goel (CEO, previously a Director of Product Management at Google) and Ritesh Ahuja (CTO), with a leadership team also drawing from Amazon, Adobe, and PayPal. Wald.ai raised a $4M seed round (December 2024) from Inventus Capital Partners, Entrada Ventures, MFV Partners, and HackerOne [sourced publicly — Wald's own materials describe backing by 'institutional investors, details available on request']. The company's product portfolio includes Wald AI DLP (endpoint AI governance — the focus of this listing) alongside Wald LLM Pack, a secured, unified access layer for enterprise teams to use leading AI assistants such as ChatGPT, Claude, and Gemini. Wald AI DLP is SOC 2 Type II certified.
Product Overview
- Locally installed small language model (SLM) inspects prompts and file uploads directly on the endpoint
- before data reaches ChatGPT
- Claude
- Gemini
- or Microsoft Copilot
- Context-aware detection of PII
- PHI
- customer data
- source code
- and financial records — including sensitive content with no explicit marker (no visible name
- or ID number)
- Three-stage governance model: Observe (full visibility into every AI interaction)
- Enforce (Allow/Monitor/Warn/Block policy actions)
- Coach (real-time usage insights to build safe AI habits)
- Policy engine configured once and applied across devices
- browsers
- data types
- teams
- and AI applications
- with full audit trails
- Works with an organization's existing MDM/endpoint management platform — no new infrastructure required
- Nothing is transmitted off-device to perform detection
- SOC 2 Type II certified
Product Demo
Partner Tiers & Benefits
- Commission
- Not publicly specified
- MDF
- Not publicly specified
- Pay per Lead
- Not publicly specified
Ideal Customer Profile (ICP)
Target Segments
Security, IT, and compliance teams at organizations where employees are using — or want to safely enable — public AI tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot
Company Size
Mid-market to enterprise organizations with existing MDM/endpoint management infrastructure and
Geographies
Profile
Organizations in regulated industries (healthcare, financial services, legal, education, and other sectors subject to HIPAA, GDPR, CCPA, or GLBA) with visible 'shadow AI' exposure — employees already using AI tools faster than governance policy can keep pace, where sensitive data exposure carries regulatory, contractual, or reputational risk.
Ideal Partner Profile (IPP)
Not publicly specified
Target Market
Headquartered In
Not publicly specified
Adjacent Partnerships
Certifications
Not publicly specified
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Geographies Served
Customer Use Cases
Real-Time Prompt & File Inspection
Detect PII, PHI, customer data, source code, and financial records in prompts and file uploads before they reach a public AI tool — including sensitive content with no explicit marker.
Context-Aware Policy Enforcement
Apply Allow, Monitor, Warn, or Block actions consistently across devices, browsers, data types, teams, and AI applications from a single policy engine.
Regulated Industry Compliance Support
Support HIPAA, GDPR, CCPA, and GLBA compliance programs by preventing sensitive and regulated data from being exposed to AI tools.
FERPA-Compliant AI Adoption in Education
Help academic institutions meet FERPA requirements while still enabling AI-assisted workflows for staff and faculty (per Wald.ai's published customer story, 'Wald.ai FERPA-Proofs Academic AI Workflows for Schools').
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