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Dossier · Private startup · 1 independent source

Valence Security

Cybersecurity Dual-Use Technology Priority Signal Founded 2021

Last updated: Jul 31, 2026

Valence Security provides SaaS and AI security software that discovers applications, integrations, identities, and AI agents, then helps security teams assess and remediate misconfiguration, access, and data-exposure risk.

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Company Overview

Valence Security is an enterprise SaaS-security company focused on the business application mesh: the connected set of productivity, identity, development, finance, HR, CRM, data, and AI applications that exchange data and permissions. Its platform combines SaaS discovery, SaaS security posture management (SSPM), AI security posture management, SaaS identity threat detection and response (ITDR), and remediation workflows. The core technical problem is not simply whether an application is installed; it is whether human and non-human identities, OAuth grants, sharing settings, service accounts, and SaaS-to-SaaS connections are appropriate, observable, and still needed.

The commercial buyer is typically an enterprise security, identity, or IT team that needs coverage across a heterogeneous application estate without asking every business owner to become a security specialist. Valence says it supports more than 150 applications, including Microsoft 365, Google Workspace, Salesforce, Okta, GitHub, Slack, ServiceNow, Workday, and other commonly connected systems. Its product pages describe inventory for sanctioned and unsanctioned SaaS and AI use, configuration and permission analysis, identity and integration monitoring, and guided or automated remediation. Those capabilities address persistent operational pain around shadow IT, excessive OAuth privileges, open sharing links, inactive accounts, and unmanaged third-party access.

The company competes across overlapping SSPM, SaaS identity, cloud access, data-security, and AI-governance categories. AppOmni, Wing Security, Grip Security, Obsidian Security, BetterCloud, Microsoft Defender for Cloud Apps, and adjacent identity or data-security suites are relevant competitors or substitutes. Valence’s stated differentiation is the closed-loop workflow: it combines discovery and risk context with one-click fixes, automated actions, ticketing, and collaboration with application owners through tools such as Jira, ServiceNow, Slack, and email. The breadth is potentially valuable, but it also creates a product-positioning and integration-depth test: a broad catalog is less defensible if connectors are shallow, detections are noisy, or remediation cannot be trusted.

There are credible commercialization signals but limited independently verifiable operating data. Valence publicly announced a $7M seed round in 2021 and a $25M Series A led by Microsoft’s M12 in October 2022, bringing reported total funding to $32M at that time. Its current website lists a leadership team, SOC 2 Type II claims, a supported-application catalog, and customer case studies including Riskified, ServiceTitan, and Lionbridge. These are useful diligence leads rather than proof of current scale, retention, or security efficacy. The next diligence step should test recurring revenue, active deployments, connector depth, remediation adoption, incident outcomes, and whether AI-security demand converts into durable platform usage.

Valence has bounded but substantive dual-use relevance. SaaS identity, data-sharing, third-party integration, and AI-agent controls are applicable to government, defense-adjacent, and regulated organizations that rely on cloud collaboration and enterprise applications. However, the company is cybersecurity infrastructure software, not a defense prime or mission-system provider, and no public evidence here establishes defense contracts or deployment in classified environments. Its strategic value therefore comes from reducing attack surface and identity-driven data exposure in sensitive digital environments, with procurement, hosting, compliance, and government-cloud requirements remaining open questions.

Dual-Use Assessment

Military & Commercial Applications

Valence has credible dual-use potential because its core controls govern SaaS applications, OAuth and service identities, third-party integrations, data sharing, and AI-agent access. Those risks occur in commercial enterprises and in government or defense-adjacent organizations using cloud collaboration systems. The case is bounded: public sources do not establish defense contracts, classified deployment, or mission-specific functionality, so this is security-infrastructure adjacency rather than a defense-first capability.

Strategic Fit Assessment

Research priority signal

Priority signal means this entry may be worth researching within the Claw & Talon thesis. It does not mean investable, suitable, endorsed, available, or likely to produce returns.

Valence is a credible strategic-priority signal for a dual-use cybersecurity database because it addresses a growing control-plane problem at the intersection of SaaS sprawl, identity security, data exposure, and AI adoption. The reported seed and Series A financing, current product breadth, public leadership page, SOC 2 Type II claim, and named customer case studies indicate a real venture-backed operating company rather than a paper-only record. the diligence case depends on proving that the platform delivers measurable remediation and retention, not merely broad discovery or a long integration list. Diligence should concentrate on recurring revenue and customer concentration, deployment time, connector maintenance, false-positive rates, remediation permissions, AI-security attach rate, and differentiation from bundled identity, cloud-access, and data-security products. strategically relevant is an internal fit flag and not an investment recommendation.

Strategic Value to U.S.-Israel Alliance

Valence occupies a strategically relevant control layer for organizations whose sensitive data and workflows increasingly run through SaaS and AI applications. Its ability to connect application inventory, identity and integration context, policy findings, and remediation could reduce exposure that is otherwise fragmented across IT, security, and business owners. That makes it relevant to regulated and public-sector environments, subject to evidence on data residency, government-cloud support, procurement readiness, and deployment boundaries. The strategic thesis is meaningful but should not be overstated as defense capability without customer or contract evidence.

Key Technologies

  • SaaS application discovery and shadow IT inventory
  • SaaS security posture management for configuration and permission risk
  • AI security posture management for shadow AI, embedded AI, and AI agents
  • SaaS identity threat detection and response for human and non-human identities
  • OAuth, SaaS-to-SaaS integration, token, and service-account analysis
  • Connector-based telemetry across 150+ business applications
  • One-click, ticketed, collaborative, and automated risk remediation

Use Cases & Applications

  • Inventorying sanctioned, unsanctioned, and AI-enabled applications across an enterprise
  • Finding open links, excessive permissions, inactive accounts, and risky OAuth grants
  • Governing shadow AI tools, embedded AI features, and AI agents that access business data
  • Monitoring human and non-human identities for anomalous SaaS activity
  • Revoking stale or over-privileged SaaS-to-SaaS integrations and tokens
  • Routing contextual remediation requests to application owners through tickets, Slack, or email
  • Supporting continuous SaaS security and compliance monitoring against CIS, ISO, SOC 2, or NIST-aligned controls
  • Reducing cloud-application attack surface in regulated or security-sensitive organizations

Sources and verification

This profile is based on public-source research, Claw & Talon curation, and editorial judgment. Inclusion does not imply endorsement, partnership, investment, or a recommendation to transact. Readers should still confirm current status, customers, funding, and product claims before relying on this profile. The editorial policy explains how profiles are researched, where automated drafting is used, and how corrections work; the research methodology documents how evidence is graded, what counts as an independent source, and why some profiles are excluded from search indexing.

This record lists 9 public references used for company identity, status, positioning, or material-claim review.

Public sources

The links below are visible public references used for source discipline around company identity, status, funding, customer, acquisition, public-company, or other material claims where available.

Related sector

See the Cybersecurity sector page for market context, related subcategories, and other Israeli companies in this part of the database.

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