Nightfall is a broad DLP platform for SaaS, email, endpoints and AI. Wald is built for AI: a local model reads the context of every prompt on the device and decides before anything is sent, across browser AI tools, desktop AI apps, agents and MCP.
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Nightfall earns strong reviews for accurate detection and fast setup. Teams whose main risk is AI usually weigh three things: where content gets inspected, how much of a DLP suite they need and what it takes to cover agents and MCP.
Wald's small language model runs locally on each laptop, so sensitive prompts are classified on the device and never sent to another cloud to be inspected.
AI-first DLP, inspected where the prompt is written.
Wald covers ChatGPT, Claude, Gemini and Copilot in the browser, desktop AI apps, AI agents and MCP connections, all governed by one set of Allow, Warn and Block policies. It runs alongside the DLP you already have.
Both offer pre-trained, context-aware detection with fast rollout. Here's how they compare for AI data protection.
Nightfall AI capabilities based on Nightfall's published product and pricing information and third-party sources, November 2026. Nightfall AI is a trademark of its owner.
AI-first data protection that keeps inspection on the device.
Wald automatically understands the context of an AI interaction and enforces the right policy in real time.
Context helps distinguish legitimate work from genuine risk, so security teams spend less time reviewing unnecessary alerts.
Checked on the device, not in another cloud. Windows and macOS, with no traffic rerouting.
Scan unlimited files across AI workflows and static docs without any extra charges.
Wald is a strong Nightfall AI alternative for teams whose main risk is employee and agent AI use, and who need prompts inspected without leaving the device.
It provides context-aware AI DLP across browser AI tools, desktop AI apps, AI agents and MCP connections, checks every prompt on the device, and rolls out through the MDM you already use.
Nightfall's developer API scans content in Nightfall's cloud, and Nightfall states that data is inspected in-tenant where the deployment supports it. Ask Nightfall to confirm in writing where your endpoint and AI prompt data is classified.
Wald classifies every prompt on the device with a local small language model, so prompts are never sent to another cloud to be checked.
Nightfall is priced per user, per year, in Foundation and Premier editions, but it does not publish prices. AI agent, IDE and MCP coverage is part of the Premier Edition, and quotes follow a 7-day proof of value.
Wald offers per-user quotes for workforce AI protection. Book a demo to get pricing for your team.
Yes. Wald covers ChatGPT, Claude, Gemini, Grok and Microsoft Copilot in the browser, desktop AI apps such as the ChatGPT desktop app, and AI agents and MCP connections, all under one policy approach.
On the endpoint. Wald's small language model runs locally, so prompts and file uploads are evaluated before they leave the device and are never sent to another cloud to be checked.
Allow, Warn and Block, set by AI tool and by the sensitivity of the data being shared. Wald coaches employees inline when it warns or blocks, so legitimate AI work keeps moving.
Yes. You can keep Nightfall for SaaS and email DLP and use Wald for AI prompts, desktop AI apps, agents and MCP. Wald rolls out through your existing MDM on Windows and macOS, with no proxy or traffic rerouting.
You can start by monitoring AI usage, then turn on Warn and Block policies for the riskiest tools and data. We'll map out a rollout plan with you during your demo.
Yes. Wald helps organizations maintain compliance with HIPAA, GDPR, CCPA and other data protection laws, with an audit-ready record of AI interactions and a SOC 2 compliant platform.