Empirical Security

Empirical Security

Enterprise-focused AI threat prioritization platform

Overview

Empirical Security builds AI-powered cybersecurity tools that tailor threat prioritization to each enterprise’s specific infrastructure. Its core product uses a dual-model architecture: global models trained on millions of daily exploitation events from internet-wide data, combined with local models trained on an organization’s own data, systems, and tech stack. This creates customized threat rankings that help security teams decide which vulnerabilities to fix first, reducing alert noise and focusing resources on the most serious risks. Unlike one-size-fits-all security tools, Empirical Security blends broad threat intelligence with organization-specific context to deliver evidence-based vulnerability prioritization. The company aims to improve vulnerability management for enterprises, enabling faster, more accurate risk decisions and stronger cyber defense.

About Empirical Security

Simplify's Rating
Why Empirical Security is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

Cybersecurity

AI & Machine Learning

Company Size

11-50

Company Stage

Series A

Total Funding

$37M

Headquarters

Chicago, Illinois

Founded

2024

Get referred to Empirical Security

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • Empirical closed a $25 million Series A on July 20, 2026, reaching $37 million total.
  • Brightmind Partners led the round, with Costanoa Ventures and Hyde Park Angels reupping.
  • WWT’s Defending at the Speed of AI initiative gives Empirical enterprise pipeline and channel visibility.

What critics are saying

  • Tenable, Rapid7, Nucleus Security, and 48 listed alternatives crowd exposure-management buying cycles.
  • Foundation and Radiant depend on proprietary telemetry; weak customer data degrades model accuracy by 2027.
  • Cisco or another platform vendor can bundle EPSS-style scoring and compress Empirical’s differentiation within 18 months.

What makes Empirical Security unique

  • Roytman and Jacobs built EPSS; Bellis reunites Kenna Security’s original leadership trio.
  • Foundation tracks 18,000 exploited CVEs; Radiant customizes exploit predictions to each enterprise.
  • WWT’s 2026 AI defense program positions Empirical alongside Horizon3.ai, Infoblox, and Cognition.

Help us improve and share your feedback! Did you find this helpful?

Funding

Total Funding

$37M

Above

Industry Average

Funded Over

2 Rounds

Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Above Average

Industry standards

$15M
$8.2M
Discord
$15M
Canva
$25M
Empirical Security
$30M
Kalshi

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-7%

2 year growth

-7%
Today's Startup News
Jul 25th, 2026
Startup news roundup: July week 4, 2026, materials AI, battery tech, fintech and cybersecurity lead the week.

Startup news roundup: July week 4, 2026, materials AI, battery tech, fintech and cybersecurity lead the week. Editorial Team July 25, 2026 at 11:58 AM UTC The fourth week of July brought a wide spread of venture activity, from a nine-figure bet on AI-driven materials science to fresh capital for battery manufacturing, fintech infrastructure and three distinct approaches to cybersecurity. Here is a roundup of six standout funding rounds from the week, spanning deep tech, energy, finance and security. CuspAI raises 450 million dollars to speed up materials discovery with AI. Cambridge, UK-based CuspAI raised 450 million dollars in a Series B round, backed by Kleiner Perkins, NEA, Bezos Expeditions, the UK government, AMD Ventures, Lux Capital, Glade Brook Capital Partners, Invest-NL and other investors, bringing its total funding to more than 650 million dollars. The company is applying AI models to materials discovery, a field that has traditionally relied on years of laborious laboratory experimentation to identify new compounds with useful physical or chemical properties. By simulating molecular interactions computationally before physical testing begins, CuspAI is positioning itself to compress discovery timelines across industries including energy storage, semiconductors and advanced manufacturing. The scale of the round, and the presence of a national government among its backers, signals how seriously materials science is now being treated as a frontier AI application rather than a niche academic pursuit. Sila raises 300 million dollars to expand battery material production. Battery materials company Sila closed a 300 million dollar growth round backed by Atreides Management, Sutter Hill Ventures, 8VC, Bessemer Venture Partners, Matrix Partners and funds advised by T. Rowe Price Associates, among other existing and new investors. The financing brings Sila's total capital raised to approximately 1.6 billion dollars and will support the expansion of its silicon-carbon anode production facility in Moses Lake, Washington. Silicon-carbon anodes are seen as a key upgrade over traditional graphite anodes in lithium-ion batteries, offering higher energy density for electric vehicles and consumer electronics. The round reflects continued investor appetite for the physical, capital-intensive infrastructure underpinning the broader electrification and battery supply chain, even as headline AI funding dominates most weekly venture coverage. Augustus raises 180 million dollars at a 1 billion dollar valuation for fintech infrastructure. Augustus announced a 180 million dollar Series B round at a 1 billion dollar valuation, led by Tiger Global with participation from Hummingbird, QED Investors and a group of fintech and infrastructure focused founders. While the company has kept some product details close, the round places Augustus among a growing list of fintech infrastructure startups reaching unicorn status on the strength of enterprise demand for modernized financial rails and workflow automation. Tiger Global's participation, alongside a roster of operator-investors from within the fintech ecosystem, suggests the round carries weight beyond its headline figure, with backers who bring direct operating experience in the exact infrastructure category Augustus is building within. Neo emerges from stealth with 100 million dollars to secure enterprise AI software. Cybersecurity startup Neo launched out of stealth with 100 million dollars in funding to help enterprises control and secure AI software operating with increasing autonomy inside their systems. The round underscores how much investor confidence continues to rest on founder track record in cybersecurity, particularly as the shift toward agentic, semi-autonomous enterprise software creates security questions that traditional access control and monitoring tools were not built to answer. Neo's positioning centers on giving security teams visibility and control over what AI systems are permitted to do once they are granted access to sensitive enterprise environments, a governance layer that is quickly becoming its own cybersecurity subcategory as AI adoption inside large organizations accelerates. Empirical Security raises 25 million dollars to predict threats in the agentic AI era. Chicago-based Empirical Security raised 25 million dollars in a Series A round led by Brightmind Partners, with additional participation from Costanoa Ventures, Hyde Park Angels and other investors, bringing its total funding to 37 million dollars. Founded in 2024, the company is building tools focused on predicting and identifying threats specifically in environments shaped by agentic AI, rather than relying purely on traditional signature-based detection methods. Empirical's pitch is that as enterprises deploy more autonomous AI systems, the resulting attack surface grows both faster and messier than what conventional vulnerability management tools were designed to track, creating demand for platforms built specifically to monitor and predict threats tied to that shift. StrongestLayer raises 4.1 million dollars to catch email attacks that evade traditional filters. StrongestLayer announced 4.1 million dollars in new funding, led by Inovia Capital with participation from Sorenson Capital, LaunchPod, Alumni Ventures and former Mandiant chief product officer Chris Key, bringing its total seed funding to 9.3 million dollars. The company argues that a growing share of damaging email attacks, particularly scams and business email compromise attempts, now evade traditional pattern-matching security systems since they contain no obviously malicious payload or link. Rather than scanning for known malicious signatures, StrongestLayer's approach is built around analyzing intent and context within a message, a smaller but increasingly common bet among email security startups responding to attackers who have grown more sophisticated at avoiding conventional detection. What the week's funding activity shows. Taken together, this week's rounds illustrate how broad the current venture appetite has become even outside pure foundation model plays. Materials science, battery manufacturing, fintech infrastructure and multiple distinct approaches to cybersecurity all attracted meaningful capital in the same week, with round sizes ranging from just over 4 million dollars to nearly half a billion. The common thread across most of these deals is a focus on solving a specific, well-defined operational problem, whether that is compressing years of laboratory testing into computational simulation, expanding physical battery production capacity, modernizing financial infrastructure, or closing security gaps created by the rapid rise of autonomous AI systems inside the enterprise. For founders watching the broader funding environment, the week reinforces a consistent pattern across 2026: capital continues to reward precision over breadth, regardless of whether the underlying business sits in software, hardware or physical infrastructure.

The SaaS News
Jul 21st, 2026
Empirical Security raises $25M Series A.

Empirical Security raises $25M Series A. Empirical Security raises $25M Series A led by Brightmind Partners to accelerate its AI-driven predictive exposure management platform. Updated July 20, 2026 Empirical Security, based in Chicago, Illinois, is a cybersecurity company that builds predictive models for exposure management. The company has raised $25 million in Series A funding, bringing its total funding to $37 million. Investors. The round was led by Brightmind Partners, with earlier backing from Costanoa Ventures, Hyde Park Angels (HPA), and other existing investors. Empirical Security use of funds. The new capital will be used to accelerate the development and deployment of the company's two flagship products: Foundation, a global model for threat prediction, and Radiant, a custom predictive engine designed to identify organization-specific security threats. About Empirical Security. Founded by Ed Bellis, Michael Roytman, and Jay Jacobs, Empirical Security is a company that provides predictive exploit intelligence through custom-built AI and machine learning models, helping organizations prioritize remediation efforts and manage cyber risk. Funding details. Company: Empirical Security Raised: $25M Round: Series A Funding Date: July 20, 2026 Lead Investor: Brightmind Partners Company Website: www.empiricalsecurity.com Software Category: Cybersecurity Source: https://www.einpresswire.com/article/927250809/empirical-security-raises-25m-series-a-to-defend-against-ai-accelerated-exposures Updated July 20, 2026

FinSMEs
Jul 20th, 2026
Empirical Security Raises $25M in Series A Funding

Empirical Security, a Chicago, IL-based cybersecurity company that builds foundational and predictive models for exposure management, raised $25M in Series A funding

Axios
Jul 20th, 2026
Empirical Security raises $25M Series A led by Brightmind Partners

Empirical Security, an exposure management startup, has secured $25 million in Series A funding, CEO Ed Bellis confirmed. Brightmind Partners led the investment round. The funding comes as artificial intelligence drives growing security concerns across industries. However, AI can also serve as a tool helping companies prepare for and manage emerging risks. The company focuses on exposure management, a cybersecurity approach that helps organisations identify and address potential vulnerabilities before they can be exploited by attackers.

Associated Press
Jun 16th, 2026
WWT launches 'Defending at the Speed of AI' initiative with Horizon3.ai, Empirical Security, Infoblox, and Cognition

World Wide Technology has launched "Defending at the Speed of AI", a cybersecurity initiative developed with Horizon3.ai, Empirical Security, Infoblox and Cognition to counter AI-powered cyberattacks. The programme addresses the accelerating pace of threats as AI models enable vulnerabilities to be discovered in hours rather than weeks. The integrated solution combines continuous autonomous testing, risk prioritisation, upstream threat prevention and AI-accelerated remediation. Horizon3.ai provides autonomous testing, Empirical Security ranks exposures by exploitability, Infoblox prevents threats through protective DNS, and Cognition's Devin generates patches at machine speed. Available through WWT's Advanced Technology Centre and Cyber Range, the solution allows customers to test the integrated stack against AI-driven attack scenarios before production deployment. WWT will provide advisory, integration and managed services support.

Recently Posted Jobs

Sign up to get curated job recommendations

Empirical Security is Hiring for 6 Jobs on Simplify!

Find jobs on Simplify and start your career today

Don't see your dream role? Check out thousands of other roles on Simplify. Browse all jobs →