Company lists · Data refreshed September 2026
Top 23 Machine learning security companies based in San Francisco, United States
RevenueBase identified 49 machine learning security companies headquartered in San Francisco, United States as of September 2026 and tracks 5,604 professional contacts across them, including 1,320 with verified work emails and 871 with mobile numbers. New York is the largest hub.
This list covers machine learning security companies headquartered in San Francisco, United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 13, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 23 largest machine learning security companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 3,649 contacts → | ||||
Partial evidence “We are a crowdsourced security company that safeguards organizations' assets from sophisticated threat actors before they can strike-by uniting our customers with trusted hackers…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 2 | 659 contacts → | ||||
Partial evidence “Good-enough security isn’t good enough.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 3 | 364 contacts → | ||||
Indirect evidence “Horizon3.ai answers the two most important questions in cybersecurity: If someone tried to compromise us, would we hold up?” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 4 | 211 contacts → | ||||
Partial evidence “Vehere is an AI cyber defense company operating at the intersection of national security and enterprise security.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 5 | 130 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 6 | 126 contacts → | ||||
Partial evidence “Based in San Francisco CA, Cobalt AI was founded in 2016 on a mission to drive behavioral change to increase physical security in organizations to improve the ability to detect…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 7 | 54 contacts → | ||||
Indirect evidence “AI is being run everywhere, by humans and agents.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 8 | 33 contacts → | ||||
Partial evidence “Akto is the fastest growing AI Security platform for your teams to secure AI agents, MCPs, LLMs, Agent skills, gen AI apps in your organization.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 9 | 30 contacts → | ||||
Partial evidence “Enhanced security in minutes and get immediately unparalleled protection.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 10 | 28 contacts → | ||||
Partial evidence “Virtue AI sets the standard for advanced AI security platforms.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 11 | 22 contacts → | ||||
Indirect evidence “BlackFog is a global leader in AI-based cybersecurity and the pioneer of anti data exfiltration (ADX) technology.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 12 | 19 contacts → | ||||
Partial evidence “Promptfoo is the leading open-core platform for AI application security, enabling enterprises to identify and remediate vulnerabilities in LLMs, RAG systems, and AI agents before…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 13 | 18 contacts → | ||||
Indirect evidence “CatchProbe is the world’s first AI-driven, SaaS-based, centralized, and autonomous intelligence platform, IntelligencySuite (version: IDA Mountain), delivering actionable…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 14 | 16 contacts → | ||||
Partial evidence “Operant AI is an industry-defining cybersecurity leader at the forefront of securing AI & MCP.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 15 | 11 contacts → | ||||
Partial evidence “Overe's SaaS Security platform provides businesses with a comprehensive but easy-to-use Cybersecurity service.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 16 | 11 contacts → | ||||
Partial evidence “Arcjet is the runtime security platform that ships in your AI code.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 17 | 10 contacts → | ||||
Indirect evidence “AI is spreading uncontrollably across your organization.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 18 | 6 contacts → | ||||
Partial evidence “nFactor harnesses AI to enhance enterprise security, offering secure and responsible applications.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 19 | 6 contacts → | ||||
Indirect evidence “Petra is ITDR 2.0, built to catch business email compromise, token theft, and other identity attacks in the AI era.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 20 | 6 contacts → | ||||
Indirect evidence “CompliantLLM detects every data leak into third-party GenAI tools used in your company by monitoring employee interactions.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 21 | 3 contacts → | ||||
Indirect evidence “With over two decades of experience in sensitive data management across hundreds of clients and installations, we at TekLeap understand the inherent weaknesses and threats in…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 22 | 2 contacts → | ||||
Indirect evidence “CodeIntegrity protects AI agents from prompt injection attacks in real time.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 23 | 1 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: machine learning security companies. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names machine learning security companies.
- Partial evidence
- Its own public description names part of machine learning security companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning security companies. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 23 of 49 machine learning security companies based in San Francisco, United States
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Machine learning security companies based in San Francisco, United States at a glance
As of Sep 13, 2026Companies by employee count
Freshness & accuracy
How recently the business emails were verified and the company information checked
Email last verified
Median 16.0dCompany record updated
Median 57.0dHow this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning security companies, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in San Francisco, United States whose own description of what they do matches “machine learning security companies”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning security companies), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among machine learning security companies, and records with no verified work email. Companies headquartered outside San Francisco are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 1,320 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 13, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Machine learning security companies by metro in the United States
- Machine learning security companies in New York51
- Machine learning security companies in San Francisco48
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning security companies, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many machine learning security companies are there based in San Francisco, United States?
RevenueBase identified 49 machine learning security companies headquartered in San Francisco, United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Bugcrowd, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most machine learning security companies?
New York leads with 51 headquartered companies, followed by San Francisco (48) and Austin (21).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 1,320 verified decision-maker contacts tracked across these 49 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 13, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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