Nightfall AI vs WitnessAI
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last checked October 2026.
https://aicompliancevendors.com/compare/nightfall-ai-vs-witnessaiNightfall AI
Data loss prevention for SaaS apps, email, endpoints, browsers, employee AI tools and AI coding agents, priced per user per year
Nightfall AI is a data loss prevention (DLP) platform that finds sensitive data in SaaS apps, email, endpoints, browsers and AI tools and stops it from leaking. It was founded in 2018 by Isaac Madan and Rohan Sathe, came out of stealth in November 2019 (it originally launched as Watchtower AI) and is based in San Francisco; its privacy policy names the operating company as Shoreline Labs, Inc. Sathe is now chief executive. Nightfall has disclosed $60.3 million in funding: $20.3 million at its 2019 launch, with the latest round co-led by Bain Capital Ventures and Venrock, and a $40 million Series B led by WestBridge Capital in August 2022. We found no later round and no acquisition. The product has five parts. Data Detection and Response scans SaaS apps through their APIs, including Slack, Google Drive, Gmail, Jira, Confluence, Salesforce, Microsoft 365, Notion and Zendesk. Data Exfiltration Prevention uses lightweight agents and browser plugins on macOS and Windows (Chrome, Firefox, Safari and Edge) to stop browser uploads, AI prompts, personal cloud sync, USB transfers and pushes to personal code repositories, and traces files from corporate origin to external destination. AI Security covers employee AI use (personal ChatGPT accounts, unmanaged copilots and browser AI tools) and AI agents, with hooks for Cursor, Claude Code and VS Code, MCP server discovery, and monitoring of Claude Enterprise through Anthropic's Compliance API. Data Discovery and Classification is an add-on that scans data at rest, and Nyx, launched in July 2025, is an AI agent that investigates incidents and tunes policies. In September 2026 Nightfall opened early access to an MCP Gateway that enforces policy on agent tool calls before they run. **AI compliance coverage** Nightfall's compliance material is about data protection frameworks, not AI regulation. Its help center explains how it helps with HIPAA, PCI DSS, SOC 2 and ISO 27001, and its detectors cover PII, PHI, payment card data, secrets and source code, with an out-of-the-box PCI detection template. We found no material on the EU AI Act, ISO 42001 or the NIST AI RMF. Its security page says Nightfall is SOC 2 Type 2 certified and that its databases are all in the United States. **Who it's for** Security teams that want one tool for SaaS DLP, endpoint exfiltration and employee and agent use of AI, particularly companies with sensitive data in Slack, Google Workspace and Microsoft 365. Its published customer stories include a health tech company using it to keep Slack and GitHub HIPAA compliant.
WitnessAI
Network-level visibility, policy control and runtime protection for employee AI use and AI agents, with list prices on AWS Marketplace
WitnessAI is an AI security and governance platform for enterprise AI use by employees and by AI agents. It was founded in 2023 and incubated by Ballistic Ventures. CEO Rick Caccia, previously SVP of marketing at Palo Alto Networks, is the only co-founder the company names. It is based in Mountain View, California, and has raised about $85.5 million in two announced rounds: $27.5 million co-led by GV and Ballistic Ventures (May 2024) and $58 million in strategic funding led by Sound Ventures (January 2026), with Fin Capital, Qualcomm Ventures, Samsung Ventures and Forgepoint Capital Partners taking part. The platform has three modules. Observe finds the AI apps, agents and MCP servers in use, drawing on a catalog of thousands of AI applications, and classifies conversations by intent. Control sets policies by department, role, intent or workforce type, routes prompts to approved or cheaper models, limits agents to approved MCP servers and tools, redacts sensitive data in real time and keeps audit trails. Protect (Witness Protect, which WitnessAI calls "the enterprise AI firewall") screens prompts and responses for prompt injection, jailbreaks and harmful output and tokenizes PII, credentials and secrets. Witness Attack runs automated red teaming against models before deployment. WitnessAI says it sees AI activity across the network without browser extensions or endpoint clients, including native apps such as Windows 11 Copilot and Office 365, and it integrates with F5 BIG-IP SSL Orchestrator for encrypted AI traffic. Each customer gets a single-tenant instance with customer-controlled encryption. In January 2026 it launched WitnessAI Agentic Security, which covers coding agents such as Claude Code, Cursor and Codex and records the user, agent, tool and rule for every blocked tool call. In July 2026 it added AI FinOps features: spend estimates for unsanctioned AI apps and agents, metering of sanctioned token use, an ROI dashboard and cost-based model routing. **AI compliance coverage** The compliance page offers logging of every AI app and interaction, policy enforcement and masking of regulated data, but names no AI framework. WitnessAI's AWS Marketplace listing says its audit trails support compliance reporting for the EU AI Act, ISO/IEC 42001, the NIST AI RMF and PCI DSS 4.0.1. We found no control mappings for any of them. WitnessAI announced a SOC 2 Type II attestation in October 2025; it has no public trust center. **Who it's for** Large enterprises that want to see and govern how employees and agents use public and internal AI tools, and to add runtime protection to their own AI apps. WitnessAI says its customers include financial services firms, utilities, airlines, automakers, retailers and telecoms. InComm Payments is the only customer it names on its site.
What the data shows
We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.
- Shared framework coverage: PCI DSS
- Only Nightfall AI covers: HIPAA, ISO 27001, SOC 2
- Only WitnessAI covers: EU AI Act, ISO/IEC 42001, NIST AI RMF
- Shared capabilities: 6 of 12 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | Nightfall AI | WitnessAI |
|---|---|---|
| Founded | 2018 | 2023 |
| Headquarters | San Francisco, United States | Mountain View, United States |
| Employees | Undisclosed | Undisclosed |
| Funding | $60.3M disclosed; latest round a $40M Series B led by WestBridge Capital (August 2022) | About $85.5M across two announced rounds; latest a $58M strategic round led by Sound Ventures (January 2026) |
| Pricing | Two packages, priced per user per year: Foundation Edition (DLP across SaaS, email, AI apps and endpoints, with real-time blocking) and Premier Edition (adds AI agent security: hooks for Cursor, Claude Code and VS Code, MCP discovery, Claude Cowork and Claude Enterprise monitoring, SIEM export), offered as Tier 1 (up to 3 apps) or Tier 2 (all supported apps). The pricing page shows no amounts; it says final pricing depends on user count and data volume and offers a free 7-day proof of value. Each user license covers two endpoint devices. Data Discovery and Classification is an add-on with 150 GB included and paid 1 TB, 3 TB, 5 TB and 20 TB packs. | No prices on witness.ai. Its AWS Marketplace listing gives 12-month prices: WitnessAI for Enterprise at $180 per user (minimum 1,000 users, $180,000), WitnessAI Agentic Visibility at $24 per agent (minimum 2,500 agents, $60,000) and WitnessProtect model protection guardrail at $300,000. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | Nightfall AI | WitnessAI |
|---|---|---|
| EU AI Act | — | limited |
| HIPAA | Partial | — |
| ISO 27001 | Adjacent | — |
| ISO/IEC 42001 | — | limited |
| NIST AI RMF | — | limited |
| PCI DSS | Partial | limited |
| SOC 2 | Certified | — |
Capabilities
| Capability | Nightfall AI | WitnessAI |
|---|---|---|
| AI Discovery | ✓ | ✓ |
| Audit Logging | ✓ | ✓ |
| Data Leakage Prevention | ✓ | ✓ |
| Data Lineage | ✓ | — |
| LLM Guardrails | — | ✓ |
| LLM Guardrails & Content Filtering | — | ✓ |
| LLM Red Teaming | — | ✓ |
| Policy Enforcement | ✓ | ✓ |
| Prompt Injection Defense | — | ✓ |
| Risk Scoring | ✓ | — |
| Runtime Enforcement | ✓ | ✓ |
| Shadow AI Detection | ✓ | ✓ |
Industries served
Nightfall AI
- Healthcare
WitnessAI
- Financial Services
- Energy & Utilities
- Manufacturing
- Retail & E-commerce
- Telecommunications
Integrations
Nightfall AI
- Slack
- Google Workspace
- Jira
- Microsoft Teams
- Microsoft SharePoint
- GitHub
- Okta
- Splunk
- Anthropic API
- OpenTelemetry
WitnessAI
- Okta
- Microsoft Entra ID
- AWS Marketplace
Frequently asked
What is the difference between Nightfall AI and WitnessAI?+
Nightfall AI is Data loss prevention for SaaS apps, email, endpoints, browsers, employee AI tools and AI coding agents, priced per user per year; WitnessAI is Network-level visibility, policy control and runtime protection for employee AI use and AI agents, with list prices on AWS Marketplace. The full side-by-side covers framework coverage (1 shared, 3 unique to Nightfall AI, 3 unique to WitnessAI), pricing model, and capability overlap.
How do Nightfall AI and WitnessAI pricing compare?+
Nightfall AI: Two packages, priced per user per year: Foundation Edition (DLP across SaaS, email, AI apps and endpoints, with real-time blocking) and Premier Edition (adds AI agent security: hooks for Cursor, Claude Code and VS Code, MCP discovery, Claude Cowork and Claude Enterprise monitoring, SIEM export), offered as Tier 1 (up to 3 apps) or Tier 2 (all supported apps). The pricing page shows no amounts; it says final pricing depends on user count and data volume and offers a free 7-day proof of value. Each user license covers two endpoint devices. Data Discovery and Classification is an ad
Which AI compliance frameworks do Nightfall AI and WitnessAI both support?+
Both vendors document support for PCI DSS. Coverage strength varies; see the framework matrix below.
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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.