SaaS application security platform that combines posture management, identity risk detection, automated remediation workflows, and supply-chain governance across SaaS ecosystems.
SaaS Supply-Chain GovernanceDiscover and monitor third-party OAuth integrations and non-human service accounts to reduce SaaS-to-SaaS risk. Maps app-to-app connectivity and flags over-scoped tokens to help prune risky connections.
Misconfiguration ManagementContinuously assess security settings across major SaaS apps and identify misconfigurations or policy drift. Enforce best practices such as MFA and SSO and align with frameworks like CIS Benchmarks.
Identity and Access GovernanceUnify SaaS identity data to apply least privilege. Detect weak authentication (e.g. no MFA), dormant or shadow admin accounts, and over-privileged roles, and guide remediation to right-size permissions.
Data Exposure MonitoringIdentify and remediate inadvertent data sharing by scanning for overly shared files (public links or external shares) and orphaned documents across apps to close off unnecessary external access.
Limited Behavior AnalyticsLacks native user behavior analytics or insider threat detection (no UEBA/ITDR), so subtle malicious behaviors may go undetected without SIEM or identity platform integration.
Shallow Data ContextProvides limited content-level insight into data risk (no full DLP or data classification). Cannot detect sensitive data exfiltration beyond identifying broadly exposed assets.
No Native Threat ResponseFocuses on posture prevention with minimal in-app threat detection; active token misuse or account compromise require other tools. No automated data exposure remediation—issues are flagged but must be manually fixed.
Reliance on External IntegrationsFor advanced detection or automated remediation, Valence depends on SIEM, identity, or other third-party solutions to close the loop.
Agentless SaaS security platform that delivers continuous visibility, configuration hardening, threat detection, and AI-driven insights to protect SaaS, shadow-SaaS, and AI tools across the organization.
Deep SaaS Configuration Posture ManagementAssesses and hardens security settings across major SaaS platforms, continuously monitoring for configuration drift and alerting on deviations from best practices.
Third-Party App and API Access ControlInventories OAuth connections and API tokens, identifying risky scopes and enabling centralized allow/block lists for integrations to reduce SaaS supply-chain risk.
Real-Time Risk & Compliance InsightsProvides posture scoring and compliance assessments mapped to standards (ISO, SOC 2, CIS) with guided or one-click fixes for many issues.
Extensibility through Developer PlatformOffers APIs and a developer framework to build custom connectors or policies, extending security coverage to unique or homegrown SaaS apps.
Lacks User Behavior AnalyticsDoes not monitor daily user activities or anomalies like unusual data downloads or failed login patterns.
No In-App Threat Detection/ResponseCannot alert on token theft or insider abuse, nor orchestrate incident response actions such as suspending users or revoking tokens in real time.
Limited Data Exposure RemediationIdentifies but does not automatically remove public links or remediate data exposures, relying on administrators for manual fixes.
Visibility Gaps Outside Integrated AppsApps outside its supported list may go unmonitored until custom integrations are built, creating potential blind spots.
Mario Duarte, Vice President of Security, Snowflake
Heather Akuiyibo, VP Go-To-Market, Databricks
Øyvind Berget, Chief Technical Officer, Norma Cyber
Obsidian Security helps organizations detect and minimize GenAI risks, enabling safe and responsible use across the business.
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