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Application Security

AppOmni SaaS and AI Security Platform

SaaS security platform preventing data breaches through posture management and threat detection.

AppOmni SaaS and AI Security Platform Overview

What it does

AppOmni is a SaaS Security Posture Management (SSPM) platform that prevents data breaches by securing enterprise SaaS and AI applications through continuous monitoring, threat detection, and automated remediation. As a pioneer in the SSPM category, AppOmni uses patented technology to continuously scan APIs, security controls, and configurations across SaaS applications including Salesforce, Microsoft 365, ServiceNow, and Google Workspace, comparing deployments against best practices and business intent to identify misconfigurations, excessive privileges, and risky third-party integrations.

How it works

The platform delivers comprehensive visibility into shadow SaaS and AI applications, detects threats through real-time monitoring of 2 billion security events daily, manages human and non-human identities with least-privilege enforcement, and secures AI agents including ServiceNow Now Assist with real-time guardrails against prompt injection and data leakage. AppOmni integrates with SIEM, SOAR, XDR, and ITSM platforms to provide automated workflows, compliance reporting aligned with frameworks including FedRAMP, and step-by-step remediation guidance.

Credentials and traction

AppOmni holds SOC 2 Type II certification and a FedRAMP Moderate Authority to Operate. Frost & Sullivan named it a Growth and Innovation Leader in the 2025 Frost Radar for SaaS Security Posture Management and awarded it the 2025 Technology Innovation Leadership recognition, and GigaOm named it a Leader and Fast Mover in the 2024 GigaOm Radar for SSPM. Customers include PepsiCo, the NBA, and the SANS Institute.

Key Capabilities

mapped to solution categories
SaaS Security Posture Management (SSPM)

Maps SaaS configuration findings to CIS SaaS Benchmarks, CISA SCuBA secure configuration baselines, NIST 800-53, ISO 27001 and SOC 2 control requirements, and generates auditor-ready evidence from automated checks rather than manual screenshots, so that SaaS posture can be validated against published standards as they emerge.

Discovers the third-party applications, marketplace plug-ins and add-ons, and AI agents connected to core SaaS environments through OAuth grants, API tokens or MCP, maps the permissions each has been granted, and flags high-risk, over-scoped or unused connections for revocation, so that user-installed integrations do not become an unmanaged path to tenant data.

Compares each connected SaaS tenant's security settings against vendor best practices and the customer's own baselines, reports misconfigurations and drift, and explains the fix, with the depth of checks and advice varying by application. Coverage of enterprise SaaS applications through native admin APIs, including smaller business-critical apps, also varies by vendor.

Maps integration connections between SaaS applications (API keys, webhooks, shared credentials) to surface unmanaged data flows and integration attack surface.

Identifies over-privileged users, dormant accounts, and excessive license assignments within SaaS applications, producing a right-sizing recommendation per application.

Automatically corrects specific SaaS misconfigurations or revokes excessive permissions without manual intervention.

Detects sensitive content shared publicly or externally from connected SaaS apps, such as world-readable files, anonymous share links, and over-shared folders, so exposure can be revoked before it leaks.

Inventories the generative AI features embedded in SaaS applications and the AI agents and assistants granted access to SaaS tenants, including connections made through MCP, showing which models are in use, how they connect and what data and permissions they hold, so that shadow AI inside sanctioned SaaS is governed alongside other integrations.

Analyzes SaaS application activity logs to detect compromised credentials, stolen session tokens, insider misuse and anomalous behavior by human and non-human identities inside and across SaaS applications, so that the most common SaaS breach path is caught within the SaaS estate and not only at the identity provider.

Discovers SaaS applications in use that are not yet connected to the platform, using identity provider logs, browser telemetry, email and API signals rather than network traffic, so that unsanctioned and unmanaged tenants can be brought under posture management. Discovery depth varies widely across vendors.

Compliance

certifications
FedRAMP ModerateGDPRHIPAAISO 27001SOC 2 Type IITX-RAMP

Integrations

compatible tools
1PasswordAsanaAtlassian ConfluenceBoxChatGPT (OpenAI)Claude (Anthropic)CloudflareDatabricksDatadogDocuSignDropboxDuoFastlyGitHubGitLabGongGoogle WorkspaceHubSpotiManageIntercomJamfJiraJumpCloudMicrosoft 365Microsoft Dynamics 365Microsoft Entra IDMiromonday.comMongoDBMulesoftNetSuiteNotionOktaOneLoginOracle Fusion CloudPing IdentityQualysSalesforceSAP SuccessFactorsServiceNowSlackSmartsheetSnowflakeTableauTwilio SendGridUiPathVeeva VaultWebexWizWorkatoWorkdayZendeskZoom

Implementation & support

Deployment model
Agentless (API Integration)SaaS
Support channels
Customer Success Manager (CSM)Email SupportTicketing Portal

Info last updated on September 10, 2026

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