AI Defense Stack

GenAI data-leak prevention & privacy

Nightfall AI: data loss prevention platform for AI and SaaS

Nightfall is a data loss prevention platform for AI and SaaS from Nightfall. It is a commercial product offered as: SaaS, API. Pricing model: contact sales.

  • Last reviewed
Visit Nightfall (opens in a new tab) Documentation (opens in a new tab)
Commercial Layer 5: Data protection

Best for

Security teams that want one commercial DLP platform covering employee AI use, MCP servers and SaaS apps

Consider instead if

  • You want a free open-source library to detect and mask PII inside your own pipeline. See Presidio.

What Nightfall does

Nightfall is a commercial data security platform that applies data loss prevention to AI use. Its homepage lists an MCP Gateway that approves MCP servers and enforces policy on tool calls, inference hooks that inspect prompts, tool calls and responses in a live session, and shadow AI prevention for personal ChatGPT and browser AI tools. It also covers SaaS apps such as Slack, Google Drive and Jira, and offers Developer APIs, formerly Firewall for AI, for filtering sensitive data from GenAI apps. Nightfall is closed source and sells editions priced per user per year with no amounts published. The vendor offers a free 7-day proof of value instead of a self-serve trial.

This summary is our own wording of the sourced facts on this page.

Key facts

Each value links to the page that states it, with the date we checked it.

Vendor
Nightfall Source, checked October 21, 2026: nightfall.ai (opens in a new tab)
Status
Active Source, checked October 21, 2026: nightfall.ai (opens in a new tab)
Open source
No: closed source (proprietary) Source, checked October 21, 2026: nightfall.ai (opens in a new tab)
Latest release
Not documented in the sources we checked
Deployment
SaaS, API Source, checked October 21, 2026: help.nightfall.ai (opens in a new tab)
Pricing model
Contact sales: Foundation and Premier editions are priced per user per year, and the data discovery add-on is sold by data volume; no amounts are shown. A free 7-day proof of value is offered instead of a self-serve trial. (as listed on October 21, 2026; check the vendor for current pricing) Source, checked October 21, 2026: nightfall.ai (opens in a new tab)
Website
nightfall.ai Source, checked October 21, 2026: nightfall.ai (opens in a new tab)
Documentation
help.nightfall.ai Source, checked October 21, 2026: help.nightfall.ai (opens in a new tab)
API reference
Not documented in the sources we checked
Quickstart
Not documented in the sources we checked
Security page
nightfall.ai Source, checked October 21, 2026: nightfall.ai (opens in a new tab)
Attestations or disclosure
SOC 2 Type 2 certified Source, checked October 21, 2026: nightfall.ai (opens in a new tab)

Capabilities

As documented by the vendor or project. The tag is our label from a controlled vocabulary.

Integrations

Where Nightfall fits in our AI security layers

Our analysis

Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.

AI security layers that Nightfall covers, with the role, how each applies and what it rests on
LayerRoleHow it appliesBased on
L5 Data Data protection Primary Keep sensitive data out of prompts, uploads, retrieval and training data, or remove and tokenize it first. Follows its category, GenAI data-leak prevention & privacy
L7 Agent access Agent and tool access Also covers Documents an MCP gateway that approves servers and enforces policy on tool calls. Approves needed MCP servers, blocks the rest by default and enforces policy on every tool call

OWASP LLM Top 10 mapping

Our analysis

The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.

OWASP LLM risks mapped to Nightfall, with the capabilities each mapping rests on
RiskHow it appliesBased on
LLM02 Sensitive Information Disclosure Inspects prompts, tool calls and responses and detects sensitive data such as PII, PCI and PHI. Inspects and blocks prompts, tool calls and responses inside a live AI session using inference hooks; Detects PII, PCI, PHI and API keys in SaaS apps such as Slack and GitHub; Offers Scan and Workflow APIs that filter sensitive data from GenAI apps, models and datasets
LLM06 Excessive Agency The MCP Gateway enforces policy on each tool call and blocks unapproved MCP servers by default. Approves needed MCP servers, blocks the rest by default and enforces policy on every tool call

Not mapped in our analysis: LLM07, LLM08. These are risks we expect tools in this category to cover; the sources we checked do not document a matching capability.

Alternatives and related tools

More in GenAI data-leak prevention & privacy, ranked within the category by Coverage Score.

Protecto

Protecto

Commercial
  • SaaS
  • On-prem
  • API

Detects sensitive data and tokenizes or masks it before it reaches LLMs, RAG pipelines and agents.

Best for: Teams that want an API that tokenizes or masks sensitive data before it reaches LLMs and RAG pipelines and restores it afterwards

Coverage Score 70 out of 100
  • LLM02 Sensitive Information Disclosure
  • LLM08 Vector and Embedding Weaknesses

Reviewed

Presidio

Data Privacy Stack

Open sourceMIT
  • Library
  • Self-hosted

Finds and masks personal data in text, images and structured data, and you run it yourself.

Best for: Engineering teams that want a free, self-hosted library to detect and anonymize PII before text reaches a model or a log

Coverage Score 67 out of 100
  • LLM02 Sensitive Information Disclosure

Reviewed

Limina (Private AI)

Limina

Commercial Freemium Now Limina
  • Self-hosted
  • On-prem
  • API

Detects PII, PHI and PCI in text, files, images and audio in a container you run in your own environment.

Best for: Teams that need PII, PHI and PCI de-identification of text, files and audio that runs inside their own VPC or on-premises

Coverage Score 64 out of 100
  • LLM02 Sensitive Information Disclosure

Reviewed

Nightfall FAQ

Is Nightfall open source?

No. Nightfall is a commercial platform, and we found no public source repository for the platform itself.

How much does Nightfall cost?

The pricing page lists Foundation and Premier editions priced per user per year but shows no amounts, and says to contact sales for a quote. A free 7-day proof of value is offered instead of a self-serve trial.

Which AI tools does Nightfall cover?

The homepage lists Claude through inference hooks, ChatGPT and other browser-based AI tools through shadow AI prevention, and MCP servers through an MCP Gateway.

Key facts you can cite

We have no commercial relationship with Nightfall.

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.