All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
Nightfall sells data loss prevention to security and compliance teams, watching SaaS apps, laptops, browsers and AI tools for personal data, payment records and secrets. Named customers speak for it on the record, among them Snyk, Telnyx, Exabeam and Deepwatch, and 60 ratings on Gartner's peer-review site average 4.5. The capital behind that traction is old. The last disclosed round is the $40 million Series B of August 2022, which CB Insights still records as the latest. The growth it reports, a quarter that beat every full quarter in its history with new business 241 percent above a year earlier, rests on its own figures. Most useful to a buyer who weighs current references, least useful to one who needs an outside read on the finances.
| Description | Nightfall AI is a data loss prevention platform that discovers, classifies, and protects sensitive data across SaaS apps, endpoints, browsers, AI apps, and AI agent workflows. | [f1] |
|---|---|---|
| Founded | 2018 | [f2] |
| HQ | San Francisco, California, United States | [f3] |
| Funding | $60M total | [f2] |
| Latest funding | Series B, $40M, August 2022, led by WestBridge Capital | [f3] |
| Product | What it does |
|---|---|
| Data Exfiltration Prevention | Endpoint and browser data loss prevention that monitors browser uploads, AI prompts, USB, and personal cloud sync to stop sensitive data leaving across macOS, Windows, and major browsers. |
| Data Detection & Response | API-based monitoring of SaaS apps and email that detects and remediates sensitive data exposure in real time as content is created, shared, or modified. |
| Data Discovery & Classification | AI scanning of historical SaaS content to find and classify sensitive data such as PII in archived messages, secrets in old repos, and PHI in forgotten file stores. |
| Nyx | A data loss prevention analyst agent that investigates incidents, answers questions in natural language, and recommends next steps such as disabling an account or blocking an upload. |
| AI Agent Security | Security for AI agents and Model Context Protocol workflows that inventories MCP servers, enforces access controls, and blocks sensitive data exposure in prompts and tool calls. |
Cyber Defense Matrix
| Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|
| Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware. | |||||
| Applications Software, interactions, and application flows on the devices. | |||||
| Networks Connections and traffic flowing among devices and apps, plus communication paths. | |||||
| Data Content at rest, in transit, or in use across devices, apps, and networks. | |||||
| Users The people using the devices, apps, networks, and data. |
Nightfall's Data Discovery & Classification finds and classifies sensitive data across SaaS history, while Data Exfiltration Prevention and Data Detection & Response detect exposure and block, redact, or quarantine it. These data-security capabilities are mapped to the Cyber Defense Matrix. [f4]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score | Rationale |
|---|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 | Nightfall names a specific buyer, the security team accountable for regulated data in SaaS apps and AI tools, and Gartner's review site places it in a Data Loss Prevention market where 60 buyer ratings sit. The pain figures, 60 to 80 percent of sensitive data undiscovered and 90 percent fewer alerts, come from Nightfall's own pages, so the problem is credible without independent quantification. [s5, s3, s19, s16] |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs and third-party validation. | 3/5 | Nightfall documents concrete mechanics on its own pages, including pre-trained classifiers for personal, health, payment and secret data, optical character recognition, MCP server discovery and hooks in Cursor, Claude Code and VS Code. The independent record confirms that the integrations exist rather than testing detection quality, and Gartner's review page carries a dislike about detection services that did not work as advertised. [s5, s7, s22, s19, s20] |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 3/5 | Anthropic announced Claude compliance integrations in May 2026 so enterprises could govern AI usage, and its partner list has since grown past 60 security and compliance providers. Nightfall launched AI Agent Security in Early Preview the month after that announcement, which is a dated enabler for its AI-era pitch. Independent buyer-side demand appears mainly in the 60 Gartner ratings inside the Data Loss Prevention market, including a review dated 27 May 2026, and the reviewed record carries no independent measure of adoption beyond customer names in press and analyst profiles. [s20, s12, s19, s16, s18] |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 | Rohan Sathe, now co-founder and chief executive, led the UberEats backend team that built applied machine-learning services, and the bench below him came from Cyberhaven, Rubrik, Skyhigh Security, Druva, Uber and Harness. Those are senior in-domain roles rather than a prior security build or exit, the bench biographies sit on Nightfall's own about page, and only the founders' backgrounds appear in independent press. [s1, s16] |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 4/5 | Nightfall names reference customers who speak on the record, among them Snyk, Telnyx, Exabeam, Deepwatch, Pomelo, Onbe, PAR Technology and CapitalRx, and the record adds verifiable marketplace and partnership motion through an AWS Marketplace listing and Anthropic's list of Claude compliance integrations, plus 60 Gartner ratings including one from a finance company. Scale stays unconfirmed because the growth figures are the company's own measurements. [s8, s20, s21, s19, s10] |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 | CB Insights records the August 2022 Series B as Nightfall's latest round and $60.3 million as the total raised, and the company has kept shipping since, adding an AI agent line, an Anthropic-listed Claude integration and a reseller program during 2026. Efficiency itself is unconfirmed, because no independent party reports revenue or margin and the growth percentages are the company's own. [s18, s12, s14, s13, s10] |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 4/5 | Gartner's review site lists Nightfall inside its Data Loss Prevention market alongside Forcepoint DLP, Cisco Umbrella and Trellix, AWS Marketplace files it under data loss prevention, and CB Insights describes it the same way. The reviewed record shows no analyst naming Nightfall a leader of that category. [s19, s21, s18] |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 | A buyer wires Nightfall into about a dozen SaaS applications through APIs, deploys endpoint agents and browser plugins by MDM, and runs one policy across those surfaces. No structural moat appears in the reviewed record, and Anthropic's Claude Compliance API partner list names Microsoft Purview, Netskope, Zscaler and Forcepoint alongside Nightfall. [s7, s3, s20, s2] |
Nightfall targets the security and compliance team that has to keep regulated data inside the SaaS applications, laptops, browsers and AI tools where employees work. It names that data concretely, covering credentials and secrets, personal information, payment records and protected health information.
That buyer is visible from outside the vendor. Gartner's peer-review site carries 60 ratings of Nightfall inside its Data Loss Prevention market, including one from a reviewer at a finance company, so buyers at real companies are describing the product rather than only the vendor.
The newest slice of the problem is AI. Nightfall's own agent-security page says security teams cannot inventory which Model Context Protocol servers employees are using. Anthropic's Claude Compliance API announcement, dated May 2026 and updated to record more than 60 security and compliance providers, shows how many suppliers now address AI governance, and it says nothing about that inventory gap. [s19, s22, s20, s5]
Nightfall runs five product lines on one detection engine. Data Discovery and Classification scans years of SaaS history, Data Detection and Response watches SaaS applications as content is created and shared, Data Exfiltration Prevention covers laptops and browsers including AI prompts and USB transfers, Nyx works alerts as an analyst agent, and AI Agent Security extends the same detectors to Model Context Protocol servers and coding assistants.
The engine is described with real specifics. Nightfall says it runs more than 100 AI models with large-language-model file classifiers and computer vision, and its pages name pre-trained detectors for personal, health, payment and secret data, plus optical character recognition for scanned documents.
The accuracy claims remain the vendor's own. Nightfall states 95 percent classification accuracy against 5 to 25 percent for legacy tools, and no independent benchmark of that figure appears in the reviewed record. Gartner's review page carries the opposite experience among its dislikes, an Atlassian detector that did not work on secrets and passwords in cleartext Jira tickets, which is the kind of result a buyer should reproduce in a trial. [s2, s3, s4, s5, s6, s12, s22, s19]
Nightfall sells against both legacy data loss prevention and the broad cloud-security suites. TechCrunch placed it against well-funded rivals including Netskope in the data loss prevention market, Gartner's review site lists Forcepoint DLP, Cisco Umbrella and Trellix as the top Nightfall alternatives, and Nightfall's own comparison index lists head-to-head comparisons against Forcepoint, Cyberhaven, Netskope, Microsoft Purview and Zscaler.
Its differentiator is the AI surface, and that surface is already crowded. Anthropic's Claude Compliance API page records integrations from more than 60 security and compliance providers and names Nightfall next to Microsoft Purview, Netskope, Zscaler, Forcepoint and Proofpoint. Nightfall's pricing page claims exclusive coverage of local, remote and gateway MCP paths, and no independent source in the reviewed record tests that claim.
What Nightfall can point to is breadth under one policy. The pricing page sells laptop hooks for Cursor, Claude Code and VS Code, MCP server discovery and Claude Enterprise monitoring under the same detectors that cover SaaS applications, so a buyer consolidates surfaces rather than stitching tools together. [s16, s19, s23, s20, s7]
Nightfall's customers page carries named references who speak on the record, including Snyk, Telnyx, Exabeam, Deepwatch, Pomelo, Onbe, PAR Technology and CapitalRx, most with a named person and title attached.
Independent surfaces corroborate the distribution rather than the customer count. Anthropic lists Nightfall among the vendors integrated with its Claude compliance interface, AWS Marketplace carries the platform for per-user contract purchase, and Gartner's peer-review site holds 60 ratings averaging 4.5, with a review dated 27 May 2026.
The growth numbers are the company's own. Nightfall says the quarter beat every full quarter in its history with new business 241 percent above the same quarter last year, and that five Forbes AI 50 companies are customers, none of them named. The reviewed record carries no outside report of revenue. [s8, s20, s21, s19, s10, s11]
Rohan Sathe now runs the company. Nightfall's about page names him co-founder and chief executive, and three 2026 press releases quote him in that role. The 2022 TechCrunch report had named Isaac Madan chief executive and Sathe chief technology officer, and Madan is still listed as a co-founder.
Sathe's background is machine learning at consumer scale rather than security. He led the UberEats backend team that built applied machine-learning services such as arrival-time prediction and supply and demand forecasting, and Madan came from investing in software, security and machine learning at Venrock.
The bench below the founders reads as a hiring story. Nightfall's about page lists a chief revenue officer who came from Cyberhaven, AWS, Imperva and RSA Security, a product lead from Rubrik, Skyhigh Security and Druva, and an AI engineering lead from Uber, VMware and Apple. Enrique Salem, a Bain partner and former Symantec chief executive, appears on the same page's investor list.
Every one of those biographies sits on the company's own page. Gartner recorded the headcount band at 51 to 200 people in February 2025, so a buyer sizing whether Nightfall can staff a large rollout has the leaders' backgrounds and little else to weigh. [s1, s16, s10, s11, s14, s19]
Nightfall publishes a trust center at trust.nightfall.ai. Its document list names a SOC 2 Type 2 report, a security white paper, an AI policy white paper, a data processing agreement, a SIG questionnaire and an incident response plan, released on request rather than openly, and the homepage states that the company is SOC 2 Type II certified.
That package matches the buyer. Nightfall's exfiltration product promises evidence-ready reporting for SOC 2, PCI DSS and HIPAA audits, and named customers in payments and health benefits give compliance as the reason they bought.
The certification record is not consistent. Nightfall's pricing page states that the company is ISO 27001 certified, while the trust center's document list carries no ISO certificate, so a buyer who needs that certificate should ask for it directly. No federal authorization appears in the reviewed sources, and no cited source names a regime that requires one for this product class. [s9, s2, s4, s7, s8]
| Company | Relationship | Note | Compare |
|---|---|---|---|
| Netskope | competes with | TechCrunch named it as a well-funded rival in data loss prevention, and Nightfall lists a comparison against Netskope DLP. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Cyberhaven | competes with | Nightfall lists a head-to-head comparison against it and describes wins where buyers chose Nightfall over it. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Forcepoint | competes with | Gartner's review site lists Forcepoint DLP first among the top Nightfall alternatives, and Nightfall lists its own head-to-head comparison against it. | |
| Microsoft | adjacent | Nightfall lists a head-to-head comparison against Microsoft Purview DLP. | N/AMicrosoft is scored by product line, not as a whole company, so there is no company-wide column to compare. Open its profile to compare a specific product. |
| Zscaler | adjacent | Nightfall lists a head-to-head comparison against Zscaler DLP. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| BigID | competes with | Nightfall's comparison content describes a head-to-head evaluation against BigID on detection approach. | N/AWe captured the evidence for these companies under different evidence-model versions (v1 vs v2), so the totals were scored under different conditions and are not directly comparable. |
| Trellix | competes with | Gartner's review site lists Trellix Data Loss Prevention among the top Nightfall alternatives. |
Add analyzed competitors to compare them side by side with Nightfall AI.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
reinforce or reposition
Nightfall's staying power is ordinary for cloud data loss prevention. The detection problem is hard and the compliance-driven buyer has a standing budget, so those conditions favor Nightfall. Against that, the software the customer runs is the product, and the SOC 2 report Nightfall releases on request is one any capable rival can earn. The reviewed record names no dataset, license or patent behind the detectors. Switching costs are real once a dozen SaaS integrations and policies are wired in, though nothing in the record sizes what leaving would take. Anthropic's list of more than 60 security vendors with Claude compliance integrations shows that the Claude governance coverage Nightfall sells is common ground. Nightfall competes on execution and coverage rather than a structural edge.
| Dimension | Score | Rationale |
|---|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 | Nightfall delivers software the customer's team deploys and operates, priced per user per year, with the detectors, policies and remediation actions as the purchase. A dedicated success manager and a one-hour support commitment come with the Complete package, which is support around the software rather than an outcome Nightfall owns. |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 | A buyer connects Nightfall to about a dozen SaaS applications through APIs, rolls the endpoint agent and browser plugins out through MDM, and configures policies across those surfaces, which is the data-history, integration and workflow friction the middle level describes. The cited record documents neither a network effect nor a residency requirement, and it does not size what a migration would take. |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 | Nightfall's trust center lists a SOC 2 Type 2 report and supporting policies, and its products promise evidence-ready reporting for SOC 2, PCI DSS and HIPAA audits. Those are attestations a funded competitor obtains through ordinary enterprise preparation, and the cited record shows no authorization, mandate or retained liability that would block a replacement. |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 | Detecting sensitive data in unstructured SaaS content without drowning a team in false positives needs machine learning and real-time systems, and Nightfall describes more than 100 models with large-language-model file classifiers, computer vision and optical character recognition behind that job. Extending the same detectors to MCP tool calls and coding-assistant prompts at machine speed is real-time engineering of the kind this level describes. |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 | Nightfall's named customers include companies in payments, fintech, health benefits and telecommunications, among them Pomelo and Onbe citing PCI compliance and CapitalRx citing exposure that could violate HIPAA, and a Gartner reviewer of Nightfall works at a finance company. That is the regulated-enterprise buyer class, and the compliance obligations those customers cite are what put the product in their budget. |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 | Nightfall spans SaaS monitoring, endpoint and browser controls, and a separate AWS Marketplace listing for a developer platform that exposes its detection engine as APIs a customer can build into its own applications, which is more than a single-purpose application. The primary sale is still application-layer data protection rather than infrastructure other products depend on to run. |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 1/3 | Nightfall names more than 100 AI models, file classifiers and computer-vision detectors, and its homepage says the platform learns continuously and improves detection over time, while TechCrunch reported a data policy that permits Nightfall to use customer data to continually improve its data classification algorithms. Its current privacy policy carves Google Workspace API data out of model training, and the cited record identifies no exclusive dataset, content license or granted patent behind the detectors. |
Nightfall sells to security and compliance teams that must keep regulated data inside the SaaS applications, laptops, browsers and AI tools where employees work. It names that data specifically, covering credentials and secrets, personal information, payment records and protected health information.
The segment is visible from outside the vendor. Gartner's peer-review site carries 60 ratings of Nightfall inside its Data Loss Prevention market, and the named customers on Nightfall's own site span software, security, telecommunications, payments and health benefits, with those in payments and health benefits citing PCI and HIPAA obligations as the reason they bought. SiliconANGLE reported in 2022 that the company said its clients ranged from tech startups to Fortune 100 enterprises in healthcare, insurance and education.
The newest slice is AI. Nightfall's agent-security page says security teams cannot inventory which Model Context Protocol servers employees are using.
Nightfall runs five product lines on one detection engine. Data Discovery and Classification scans years of SaaS history, Data Detection and Response watches SaaS applications as content is created and shared, Data Exfiltration Prevention covers laptops and browsers including AI prompts and USB transfers, Nyx works alerts as an analyst agent, and AI Agent Security extends the same detectors to Model Context Protocol servers and coding assistants.
The engine is described with real specifics. Nightfall says it runs more than 100 AI models with large-language-model file classifiers and computer vision, and its pages name pre-trained detectors for personal, health, payment and secret data, plus optical character recognition for scanned documents and session replay for investigations.
The accuracy claims remain the vendor's own. Nightfall states 95 percent classification accuracy against 5 to 25 percent for legacy tools, and no independent benchmark of that figure appears in the reviewed record. Gartner's review page carries the opposite experience among its dislikes, an Atlassian detector that did not work on secrets and passwords in cleartext Jira tickets.
Nightfall markets Nyx as an autonomous DLP analyst that investigates incidents and tunes policies. Its product page describes enforcement moves such as disabling an account or blocking an upload as recommendations, and says Nyx answers questions in natural language inside the Nightfall console.
Nightfall runs a sales-assisted enterprise motion. Its pages ask visitors to request a demo, and the pricing page publishes the packaging without dollar figures, offering a free seven-day proof of value alongside a sales conversation.
Nightfall sells through fast integration and now through partners. It advertises API-based SaaS connections that deploy in minutes and endpoint agents installed through MDM, and in August 2026 it launched a single-tier channel program called Nexus with deal registration and renewal protection. Its chief revenue officer is quoted in that announcement.
Nightfall's customers page names references who speak on the record, including Snyk, Telnyx, Exabeam, Deepwatch, Pomelo, Onbe, PAR Technology and CapitalRx, and the record shows verifiable marketplace and partnership motion through an AWS Marketplace listing and Anthropic's list of vendors integrated with its Claude compliance interface.
The growth figures are the company's own measurements. Nightfall says the quarter beat every full quarter in its history with new business 241 percent above the same quarter last year, and that five Forbes AI 50 companies are customers, none of them named. The reviewed record carries no outside report of its revenue.
Nightfall prices per user per year across two packages. Nightfall Complete carries data detection and response across the API-integrated SaaS apps plus the endpoint agent, and Complete with AI Agent Security adds coverage for coding assistants, MCP servers, Claude Cowork and Claude Enterprise.
Data volume is metered separately. A Data Discovery and Classification add-on sells in packs above an included allowance, so a data-heavy account pays beyond its headcount while the core stays predictable per seat.
The dollar figures are withheld. The pricing page publishes the structure and routes the numbers to a sales conversation, which fits the demo-led motion and lets Nightfall price each account rather than post a rate. AWS Marketplace carries the same per-user contract shape with three purchasing options.
Nightfall is built to deploy without rearranging the environment. It connects to SaaS applications through APIs with no network changes and no agents on that path, and the endpoint product runs on macOS, Windows and the major browsers.
Remediation happens in place. Nightfall can block, redact, quarantine, encrypt or delete exposed data and route each alert for self-remediation or escalation, and its exfiltration product adds session replay, file preview and data lineage for investigations.
The light-touch promise is uneven across surfaces. The SaaS side needs no software on the endpoint, while endpoint and AI-agent coverage ships an agent, browser plugins and editor hooks that a buyer deploys and maintains through MDM across the fleet.
Nightfall publishes a trust center at trust.nightfall.ai. Its document list names a SOC 2 Type 2 report, a security white paper, an AI policy white paper, a data processing agreement, a SIG questionnaire and an incident response plan, released on request rather than openly.
The package matches the buyer. Nightfall's exfiltration product promises evidence-ready reporting for SOC 2, PCI DSS and HIPAA audits, and named customers in payments and health benefits give compliance as the reason they bought.
The certification record is not consistent. Nightfall's pricing page states that the company is ISO 27001 certified, while the trust center's document list carries no ISO certificate, so a buyer who needs that certificate should ask for it directly. No federal authorization appears in the reviewed sources, and no cited source names a regime that requires one for this product class.
Nightfall's reach is the reach of its connectors. It integrates with about a dozen SaaS applications through APIs, among them Slack, Google Drive, Microsoft 365, Salesforce, GitHub, Jira, Confluence, Zendesk and Notion, and the endpoint agent covers destinations no API reaches.
Nightfall also sells a developer platform. AWS Marketplace carries a separate Nightfall listing for detection APIs a customer can build into its own applications, and 2022 reporting described the same engine as a partner-embedding motion with Snyk, Cribl, Virtru and Hanzo.
Nightfall now covers AI tooling, and that ground is contested. It reaches MCP servers, Cursor, Claude Code, VS Code, Claude Cowork and Claude Enterprise, and Anthropic's Claude Compliance API page records integrations from more than 60 security and compliance providers, Nightfall among them.
Rohan Sathe now runs the company. Nightfall's about page names him co-founder and chief executive, and three 2026 press releases quote him in that role. The 2022 TechCrunch report had named Isaac Madan chief executive and Sathe chief technology officer, and Madan is still listed as a co-founder.
Sathe's background is machine learning at consumer scale rather than security. He led the UberEats backend team that built applied machine-learning services such as arrival-time prediction and supply and demand forecasting, and Madan came from investing in software, security and machine learning at Venrock.
The bench below the founders reads as a hiring story. Nightfall's about page lists a chief revenue officer who came from Cyberhaven, AWS, Imperva and RSA Security, a product lead from Rubrik, Skyhigh Security and Druva, and an AI engineering lead from Uber, VMware and Apple. Enrique Salem, a Bain partner and former Symantec chief executive, appears on the same page's investor list.
Every one of those biographies sits on the company's own page. Gartner recorded the headcount band at 51 to 200 people in February 2025, so a buyer sizing whether Nightfall can staff a large rollout has the leaders' backgrounds and little else to weigh.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Nightfall: About page | official | 2026-08-27 |
| f2 | TechCrunch: Nightfall nabs cash for AI that detects sensitive data across apps | press | 2026-08-27 |
| f3 | https://www.nightfall.ai/blog/nightfall-ai-raises-40-million-series-b-to-expand-cloud-data-protection-platform | press | 2026-06-24 |
| f4 | https://www.nightfall.ai/products/data-detection-and-response | official | 2026-08-27 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Nightfall: About page “We protect sensitive data everywhere it flows - including the AI tools, SaaS apps, and endpoint devices your employees use every day.” | official | 2026-08-27 |
| s2 | Nightfall: Homepage “Control data movement across AI agents, MCP servers, endpoints, and SaaS—without slowing innovation.” | official | 2026-08-27 |
| s3 | Nightfall: Data Detection and Response product page “Nightfall monitors SaaS applications as content is shared, messages are sent, and files are created or updated - detecting and stopping sensitive data exposure instantly, not hours or days later when the damage is done.” | official | 2026-08-27 |
| s4 | Nightfall: Data Exfiltration Prevention product page “Monitor browser uploads, AI prompts, personal cloud sync, USB, unauthorized SaaS, and personal code repos. Works across macOS, Windows, Chrome, Firefox, Safari, and Edge—no network changes required.” | official | 2026-08-27 |
| s5 | Nightfall: Data Discovery and Classification product page “Legacy DLP tools leave 60-80% of sensitive data undiscovered. Nightfall's AI scans every message, file, and record across years of SaaS history—finding PII in archived Slack channels, secrets in old repos, and PHI in forgotten Google Drive folders.” | official | 2026-08-27 |
| s6 | Nightfall: Nyx product page “Whether it's disabling an account, blocking a file upload, or revising a policy, Nyx recommends next steps with the confidence that comes from understanding context.” | official | 2026-08-27 |
| s7 | Nightfall: Plans and pricing page “Nightfall is priced per user, per year, across two packages: Nightfall Complete (AI-powered DLP for SaaS, email, GenAI apps, endpoints, and browsers) and Complete + AI Governance (Complete plus full coverage for AI agents, MCP servers, and AI/MCP Gateway).” | official | 2026-08-27 |
| s8 | Nightfall: Customers page “Trusted by 10% of the Forbes AI 50” | official | 2026-08-27 |
| s9 | Nightfall: Trust Center “Welcome to Nightfall's Trust Center. Our commitment to data privacy and security is embedded in every part of our business. Use this Trust Center to learn about our security posture and request access to our security documentation.” | official | 2026-08-27 |
| s10 | Nightfall: quarterly results press release, July 2026 “Nightfall today announced that the current quarter has already surpassed every full quarter in company history, a month ahead of schedule.” | official | 2026-08-27 |
| s11 | Nightfall: Forbes AI 50 customers press release, August 2026 “Nightfall closed the quarter with five Forbes AI 50 companies – nearly $35 billion in combined valuation.” | official | 2026-08-27 |
| s12 | Nightfall: AI Agent Security launch press release, June 2026 “Nightfall AI, the AI-native data security platform, today announced the Early Preview launch of AI Agent Security, extending real-time data loss prevention to AI agents, coding assistants, and MCP-connected workflows.” | official | 2026-08-27 |
| s13 | Nightfall: Nexus Partner Program press release, August 2026 “Nightfall, the AI-era data security platform, today announced the launch of the Nexus Partner Program, a streamlined channel initiative designed to accelerate how partners secure their customers' evolving AI-driven data environments.” | official | 2026-08-27 |
| s14 | Nightfall: Claude Compliance API integration press release, June 2026 “Nightfall AI today announced its integration with the Claude Compliance API is available for demo, giving enterprises a way to govern sensitive data moving through Claude-based applications and agentic workflows.” | official | 2026-08-27 |
| s15 | Nightfall: Privacy policy “Google Workspace APIs accessed through our services are not used for developing, improving, or training our generalized artificial intelligence ("AI") or machine learning ("ML") models.” | official | 2026-08-27 |
| s16 | TechCrunch: Nightfall nabs cash for AI that detects sensitive data across apps “Madan founded Nightfall in 2018 alongside CTO Rohan Sathe.” | press | 2026-08-27 |
| s17 | SiliconANGLE: Cloud data protection startup Nightfall AI raises $40M “WestBridge Capital led the Series B round. Bain Capital Ventures, Venrock, Pear VC and several individual investors, including actor Paul Rudd, also participated. Including the new round, The company has raised $60.3 million to date, according to Crunchbase.” | press | 2026-08-27 |
| s18 | CB Insights: Nightfall AI company profile “Nightfall AI was formerly known as Watchtower AI. It was founded in 2018 and is based in San Francisco, California.” | research | 2026-08-27 |
| s19 | Gartner Peer Insights: Nightfall reviews and ratings “Nightfall
by Nightfall
in Data Loss Prevention
4.5
(60 Ratings)” | research | 2026-08-27 |
| s20 | Anthropic: Claude Compliance API security partners announcement “Integrations are available now from over 60 top security and compliance providers across the categories enterprises rely on — spanning DLP, SASE, data security, SIEM and security operations, identity, eDiscovery, AI security posture management, and AI observability and telemetry infrastructure.” | official | 2026-08-27 |
| s21 | AWS Marketplace: Nightfall, AI Powered Data Loss Prevention (DLP) Platform listing “Prevent sensitive data exfiltration and exposure across SaaS apps, Generative AI, browsers, and endpoints with Nightfall's AI-powered data loss prevention (DLP) platform.” | official | 2026-08-27 |
| s22 | Nightfall: MCP and AI agent security product page “Nightfall delivers enterprise-grade security for Model Context Protocol (MCP) and AI agentic workflows. Gain complete visibility into agent activity, enforce granular access controls, and stop sensitive data exposure - all without disrupting developer productivity.” | official | 2026-08-27 |
| s23 | Nightfall: product comparison index “Nightfall vs. Forcepoint” | official | 2026-08-27 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Nightfall: About page “We protect sensitive data everywhere it flows - including the AI tools, SaaS apps, and endpoint devices your employees use every day.” | official | 2026-08-27 |
| s2 | Nightfall: Homepage “Control data movement across AI agents, MCP servers, endpoints, and SaaS—without slowing innovation.” | official | 2026-08-27 |
| s3 | Nightfall: Data Detection and Response product page “Nightfall monitors SaaS applications as content is shared, messages are sent, and files are created or updated - detecting and stopping sensitive data exposure instantly, not hours or days later when the damage is done.” | official | 2026-08-27 |
| s4 | Nightfall: Data Exfiltration Prevention product page “Monitor browser uploads, AI prompts, personal cloud sync, USB, unauthorized SaaS, and personal code repos. Works across macOS, Windows, Chrome, Firefox, Safari, and Edge—no network changes required.” | official | 2026-08-27 |
| s5 | Nightfall: Data Discovery and Classification product page “Legacy DLP tools leave 60-80% of sensitive data undiscovered. Nightfall's AI scans every message, file, and record across years of SaaS history—finding PII in archived Slack channels, secrets in old repos, and PHI in forgotten Google Drive folders.” | official | 2026-08-27 |
| s6 | Nightfall: Nyx product page “Whether it's disabling an account, blocking a file upload, or revising a policy, Nyx recommends next steps with the confidence that comes from understanding context.” | official | 2026-08-27 |
| s7 | Nightfall: Plans and pricing page “Nightfall is priced per user, per year, across two packages: Nightfall Complete (AI-powered DLP for SaaS, email, GenAI apps, endpoints, and browsers) and Complete + AI Governance (Complete plus full coverage for AI agents, MCP servers, and AI/MCP Gateway).” | official | 2026-08-27 |
| s8 | Nightfall: Customers page “Trusted by 10% of the Forbes AI 50” | official | 2026-08-27 |
| s9 | Nightfall: Trust Center “Welcome to Nightfall's Trust Center. Our commitment to data privacy and security is embedded in every part of our business. Use this Trust Center to learn about our security posture and request access to our security documentation.” | official | 2026-08-27 |
| s10 | Nightfall: quarterly results press release, July 2026 “Nightfall today announced that the current quarter has already surpassed every full quarter in company history, a month ahead of schedule.” | official | 2026-08-27 |
| s11 | Nightfall: Forbes AI 50 customers press release, August 2026 “Nightfall closed the quarter with five Forbes AI 50 companies – nearly $35 billion in combined valuation.” | official | 2026-08-27 |
| s12 | Nightfall: AI Agent Security launch press release, June 2026 “Nightfall AI, the AI-native data security platform, today announced the Early Preview launch of AI Agent Security, extending real-time data loss prevention to AI agents, coding assistants, and MCP-connected workflows.” | official | 2026-08-27 |
| s13 | Nightfall: Nexus Partner Program press release, August 2026 “Nightfall, the AI-era data security platform, today announced the launch of the Nexus Partner Program, a streamlined channel initiative designed to accelerate how partners secure their customers' evolving AI-driven data environments.” | official | 2026-08-27 |
| s14 | Nightfall: Claude Compliance API integration press release, June 2026 “Nightfall AI today announced its integration with the Claude Compliance API is available for demo, giving enterprises a way to govern sensitive data moving through Claude-based applications and agentic workflows.” | official | 2026-08-27 |
| s15 | Nightfall: Privacy policy “Google Workspace APIs accessed through our services are not used for developing, improving, or training our generalized artificial intelligence ("AI") or machine learning ("ML") models.” | official | 2026-08-27 |
| s16 | TechCrunch: Nightfall nabs cash for AI that detects sensitive data across apps “Madan founded Nightfall in 2018 alongside CTO Rohan Sathe.” | press | 2026-08-27 |
| s17 | SiliconANGLE: Cloud data protection startup Nightfall AI raises $40M “WestBridge Capital led the Series B round. Bain Capital Ventures, Venrock, Pear VC and several individual investors, including actor Paul Rudd, also participated. Including the new round, The company has raised $60.3 million to date, according to Crunchbase.” | press | 2026-08-27 |
| s18 | CB Insights: Nightfall AI company profile “Nightfall AI was formerly known as Watchtower AI. It was founded in 2018 and is based in San Francisco, California.” | research | 2026-08-27 |
| s19 | Gartner Peer Insights: Nightfall reviews and ratings “Nightfall
by Nightfall
in Data Loss Prevention
4.5
(60 Ratings)” | research | 2026-08-27 |
| s20 | Anthropic: Claude Compliance API security partners announcement “Integrations are available now from over 60 top security and compliance providers across the categories enterprises rely on — spanning DLP, SASE, data security, SIEM and security operations, identity, eDiscovery, AI security posture management, and AI observability and telemetry infrastructure.” | official | 2026-08-27 |
| s21 | AWS Marketplace: Nightfall, AI Powered Data Loss Prevention (DLP) Platform listing “Prevent sensitive data exfiltration and exposure across SaaS apps, Generative AI, browsers, and endpoints with Nightfall's AI-powered data loss prevention (DLP) platform.” | official | 2026-08-27 |
| s22 | Nightfall: MCP and AI agent security product page “Nightfall delivers enterprise-grade security for Model Context Protocol (MCP) and AI agentic workflows. Gain complete visibility into agent activity, enforce granular access controls, and stop sensitive data exposure - all without disrupting developer productivity.” | official | 2026-08-27 |
| s23 | Nightfall: product comparison index “Nightfall vs. Forcepoint” | official | 2026-08-27 |
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