Digital Trust Research
Research connecting the Digital Trust hypothesis to its layers, technologies and companies.
How we investigate Digital Trust
As software, cloud systems, connected devices and AI agents perform more consequential work, trust can no longer be treated as a feature added at the edge. It has to operate as a continuous control layer across identity, access, data, applications and evidence.
- Research formats
- 2
- Technology themes
- 27
- Evidence standard
- Verifiable sources
Recent and featured Digital Trust research
One evidence library, organized by research type and subject. Featured analysis and technology tiers share the same system map.
Digital Trust — Earnings Call Recap (Q3 2026)
Digital Trust earnings evidence for 2026-07-01 to 2026-09-30: guidance, surprises and thesis changes.
Featured analysisRead research Stock screenerZero trust, SASE and cybersecurity platform stocks
Security is becoming a continuous control plane across people, devices, software agents, data and workloads—not a perimeter around one corporate network.
Featured analysisRead research GuideAPI Security
0 mapped public companies across Zero Trust Security.
0 companies · Zero Trust SecurityRead research GuideSecure Access Service Edge (SASE)
0 mapped public companies across Zero Trust Security.
0 companies · Zero Trust SecurityRead research GuideVulnerability Management
0 mapped public companies across Compliance & GRC.
0 companies · Compliance & GRCRead research GuideZero Trust Architecture
0 mapped public companies across Zero Trust Security.
0 companies · Zero Trust SecurityRead research GuideEndpoint Detection & Response
1 mapped public companies across Zero Trust Security.
1 companies · Zero Trust SecurityRead research GuideIdentity Governance & Administration (IGA) — Platform Economics
0 mapped public companies across Identity & Access.
0 companies · Identity & AccessRead research Deep DiveCloud Observability — Data Platform Economics
4 mapped public companies across Observability & Trust Infrastructure.
4 companies · Observability & Trust InfrastructureRead research Deep DiveB2B Payments & Financial Workflow
0 mapped public companies across Payments & Financial Workflow.
0 companies · Payments & Financial WorkflowRead researchThe Digital Trust research framework
We begin with an investable question inside this universe, map it to the relevant layer and technology, and then build an evidence ledger from primary documents, regulatory material, company filings, technical standards and attributable reporting. Sources are kept close to the claims they support, dates remain visible, and uncertainty is described rather than hidden.
Company exposure is evaluated only after the system map is clear. We distinguish direct revenue and qualified deployment from optional narrative exposure, compare public and private participants on the same capability map, and retain disconfirming evidence. Research is refreshed when a source changes the thesis—not simply to make a page appear new.
The Digital Trust thesis begins with a simple constraint: digital activity creates durable economic value only when institutions can determine who or what is acting, what that actor is allowed to do, whether the underlying systems are behaving normally and how those decisions can be proved later. That requirement is expanding as companies distribute work across cloud services, remote employees, contractors, machine identities, application programming interfaces and autonomous software. Each new connection increases the number of decisions that must be authenticated, observed and governed.
Traditional cybersecurity was often organized around a perimeter. Modern operations have no single perimeter. A user may move between a corporate device, a software-as-a-service application and a public cloud workload while automated services exchange credentials in the background. NIST describes zero trust as a shift away from implicit trust based on network location toward protecting resources through explicit, continuously evaluated decisions. That shift makes identity, policy enforcement, telemetry and data governance part of the operating architecture rather than a periodic security project.
For investors, the important question is not whether cyber risk exists. It is where persistent value can accrue as organizations convert trust from an aspiration into an auditable daily process. PXS Research looks for public companies that sit at durable control points: the identity graph, privileged and machine access, policy enforcement, security telemetry, data controls, compliance evidence and enterprise workflows that coordinate action. The strongest candidates should become more useful as their installed data, integrations and control coverage expand, while still demonstrating disciplined growth, retention and cash generation.