The most valuable corporate secrets are no longer stolen from locked safes. They are siphoned from LinkedIn profiles, academic journals, and supply chain manifests, often with state sponsorship. Strider Technologies, founded in 2019, operates on that premise. Its business is building an AI-powered intelligence layer that scans the global open-source web for signs of geopolitical risk, intellectual property theft, and supply chain compromise aimed at critical industries [Strider Intel, 2026].
The company claims its platform now protects assets valued at approximately $22 trillion for a client roster that includes seven of the top 10 Fortune 500 companies [Utah State Magazine, 2024]. From a Salt Lake City headquarters, a team of roughly 350 employees across 16 countries sells software that tries to turn a reactive security posture into a proactive one. The bet is that in an era of renewed great-power competition, the market for corporate strategic intelligence is both urgent and underserved by traditional tools.
The Intelligence Wedge
Strider's product suite targets three interconnected surfaces: people, intellectual property, and physical supply chains. Its flagship product, Strider Shield, is designed specifically to combat nation-state directed IP theft [Strider Intel, 2026]. Another, Strider Sentry, focuses on identifying state-sponsored risks targeting an organization's talent pool [Strider Intel, 2026]. A third module addresses Supply Chain Intelligence [Valor Equity Partners, 2024].
The technical wedge is a proprietary software engine that continuously analyzes a vast array of open-source data,public records, patent filings, research papers, professional networks, and local language news,to surface hidden connections and anomalous activity. The output is not a raw data dump but scored intelligence reports that flag specific risks, such as a research partnership with a university known for ties to a foreign military, or a supplier whose ownership structure recently shifted to a sanctioned entity.
- Proactive posture. Unlike endpoint detection or network monitoring that alerts after a breach, Strider's model aims to identify the reconnaissance and relationship-building phases of an attack years before exfiltration occurs.
- Cross-domain correlation. The system's value hinges on linking seemingly innocuous data points across geopolitical, commercial, and technical domains to reveal coordinated campaigns.
- Enterprise integration. The intelligence is packaged for security, strategy, and research divisions within large organizations, requiring deep workflow integration rather than just dashboard access.
Founders From the Field
The company is led by twin brothers Greg Levesque (CEO) and Eric Levesque (President), both graduates of Utah State University. A third co-founder, Mike Brown, serves as Chief Technology Officer and Chief Data Officer [Strider Intel, 2026]; [Crunchbase, 2026]. The Levesques have cited their experiences on Mormon Church missions, which required foreign language immersion and cultural adaptation, as formative for understanding international landscapes [Bloomberg, 2022]. Greg Levesque has also authored commentary on technology competition for TechCrunch [TechCrunch, 2022].
This background informs a founding narrative that blends technical capability with ground-level geopolitical awareness. The team's composition suggests a division of labor where the Levesque brothers handle strategy, growth, and client relationships, while Brown architects the data pipelines and machine learning models that underpin the platform.
Traction in a Tense Climate
Strider has scaled rapidly, reporting 282 to 350 employees between early 2026 and 2024 [Tracxn, 2026]; [Utah State Magazine, 2024]. Its growth is a function of rising demand. The company states it had 23 of the Fortune 50 as customers within its first two years [Deseret, 2023], and its recent expansion includes a Tokyo office that saw 175 percent year-over-year growth in Japan since 2023 [Strider Intel, 2026]. Customers now span Fortune 500 corporations, leading universities, and government clients across the Asia-Pacific region [Strider Intel, 2026].
A significant validation point came in April 2025, when Strider joined the Oracle Defense Ecosystem, a partnership aimed at advancing strategic intelligence and national security innovation [PR Newswire, April 2025]. This move provides a potential distribution channel into defense and government contracts and aligns Strider with a major enterprise technology stack. The company was also ranked #488 on Forbes' list of America's Best Startup Employers for 2025 [Forbes, 2025].
| Founder | Title | Background Note |
|---|---|---|
| Greg Levesque | CEO | Utah State University grad; former missionary; TechCrunch contributor [TechCrunch, 2022]. |
| Eric Levesque | President/COO | Twin brother of Greg; similar background in international exposure [Bloomberg, 2022]; [LinkedIn, 2026]. |
| Mike Brown | CTO & Chief Data Officer | Co-founder leading technical and data strategy [Crunchbase, 2026]; [Strider Intel, 2026]. |
The Competitive Landscape
Strider operates in a competitive intelligence and risk monitoring space populated by established players like Recorded Future, Babel Street, and Thomson Reuters, as well as policy analytics firms like FiscalNote. Its differentiation appears to be a sharper focus on nation-state activity targeting corporate IP and supply chains, as opposed to broader cyber threat intelligence or legislative tracking.
The company's investors, including Valor Equity Partners, Pelion Venture Partners, and AXA Venture Partners, have backed its capital-intensive model of building a global intelligence apparatus [Valor Equity Partners, 2024]. Funding amounts remain undisclosed, but the caliber of these firms suggests significant runway for a sales and research organization that must maintain global coverage.
Technical Breakdown and Scale Risks
From an infrastructure perspective, Strider's platform presents a classic big-data challenge with a high-stakes, low-tolerance-for-error output. The system must ingest and process petabytes of unstructured, multilingual data from sources of varying reliability. Its AI models must reduce false positives to avoid alert fatigue while never missing a true positive that could lead to a multi-billion dollar loss. The engineering workload is continuous, as adversarial tactics evolve and new data sources emerge.
The sober assessment of what could go wrong at scale revolves around three constraints:
- Signal-to-noise ratio. As the volume of data grows exponentially, maintaining analytical precision without drowning analysts in irrelevant alerts is a persistent machine learning challenge. A degradation in quality would directly undermine the product's core value.
- Client onboarding complexity. Each Fortune 500 deployment requires deep customization to the client's specific assets, supply chain, and risk profile. This makes scaling implementation resources a bottleneck to revenue growth and could pressure margins.
- Geopolitical friction. The very act of monitoring foreign entities for theft can draw regulatory scrutiny or retaliation from the nations under observation, potentially complicating operations in those regions.
Strider's answer to these risks is likely a continued investment in its proprietary AI models and a hiring spree for domain-specific talent, as evidenced by open roles for intelligence specialists with a focus on regions like Iran and for senior data engineers [Greenhouse, 2026].
The Next Twelve Months
The immediate trajectory for Strider involves executing on the momentum from its Oracle partnership and its rapid growth in Asia. Key milestones to watch will be any public disclosure of funding or valuation, which would benchmark its market position, and the announcement of additional strategic partnerships with other major enterprise software platforms. The company's ability to move beyond intelligence reporting and into automated response workflows,suggested by products like Shield,could define its next product phase.
For now, Strider Technologies has carved out a defensible niche at the intersection of corporate security and geopolitics. Its growth indicates that a large cohort of global enterprises agree that the threat is real, and that traditional security tools are not enough. The company's success will hinge on proving that its AI can consistently find the needle in a haystack that grows larger every day, and that its intelligence can be operationalized at the speed of business.
Sources
- [Strider Intel, 2026] About Us and Product Descriptions | https://www.striderintel.com/company/
- [Utah State Magazine, 2024] Strider Technologies, Founded by Aggies Greg and Eric Levesque, is Redefining the World of Intelligence | https://utahstatemagazine.usu.edu/business/strider-technologies-founded-by-aggies-greg-and-eric-levesque-is-redefining-the-world-of-intelligence/
- [Valor Equity Partners, 2024] Strider - Company Profile | https://www.valorep.com/strider-company-profile
- [PR Newswire, April 2025] Strider Technologies Joins Oracle Defense Ecosystem | https://www.prnewswire.com/news-releases/strider-technologies-joins-oracle-defense-ecosystem-to-advance-strategic-intelligence-and-national-security-innovation-302582067.html
- [Deseret, 2023] Article on Strider's early customer traction | https://www.deseret.com/
- [Tracxn, 2026] Employee count data | https://tracxn.com/
- [Bloomberg, 2022] Startup Searches China’s Internet for Signs of Intellectual Property Theft | https://www.bloomberg.com/news/articles/2022-07-12/startup-searches-china-s-internet-for-signs-of-intellectual-property-theft
- [TechCrunch, 2022] Greg Levesque, Author at TechCrunch | https://techcrunch.com/author/greg-levesque/
- [Forbes, 2025] Forbes' America's Best Startup Employers list | https://www.forbes.com/companies/strider-technologies/
- [Crunchbase, 2026] Mike Brown profile | https://www.crunchbase.com/
- [LinkedIn, 2026] Eric Levesque profile | https://www.linkedin.com/
- [Greenhouse, 2026] Strider Technologies job postings | https://job-boards.greenhouse.io/stridertechnologies