Enable AI Securely.
Embrace AI safely by treating AI like what it is: a powerful operator that must be governed like a user and secured like an app.
AI Brings Value. AppOmni Brings Security.
Whether embedded in SaaS platforms or acting as agents, AI tools can access sensitive data and trigger actions across your SaaS environments. AppOmni helps you adopt AI confidently, enforcing least privilege and Zero Trust from day one.
With AppOmni, you can say yes to AI and no to its risks.
How AppOmni extends SSPM to secure AI
How AppOmni secures with AI
AppOmni combines AI-driven automation with telemetry from billions of SaaS events to provide intelligent threat detection and faster, more effective response across environments of any size.
MCP Server
Enhance the fidelity of alerts by adding meaningful SaaS context, enabling SIEMs and SOAR platforms to detect real threats, not noise.

SIEM
IAM
XDR
NDR
Treat AI Agents as First-Class Citizens in Security
“As a CISO, I’m seeing a real disconnect. While company surveys show AI adoption in production at just 7%, employee usage is soaring to 70-80%. That means we have to address two distinct challenges: securing official AI deployments and managing the hidden risks of employees using AI SaaS apps outside our direct view.”
Oli Newbury, former Global Financial Services CISO
Latest Resources
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AppOmni Wins Frost & Sullivan’s 2025 Technology Innovation Leadership Award
Recognized for redefining SaaS Security through innovation, scale, and leadership — helping enterprises protect the SaaS data that drives their business. Why it matters: SaaS has become the most targeted and most exposed part of your attack surface. Frost & Sullivan’s recognition highlights that AppOmni is not only innovating but also helping security and IT…
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Heisenberg: Open-source software supply chain health check tool
Heisenberg is an open-source tool that checks the health of a software supply chain.
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What experts think about Agentforce’s data privacy
Brian Soby, CTO and co-founder of AppOmni, shared that professionals should consider doing a meaningful security evaluation of Agentforce components.



