Posture for the SaaS Your AI Touches
AI agents and OAuth apps reach into your SaaS estate. AgentFence brings that estate into view - connected apps, grants, and the risky configurations that quietly expose data.
Illustrative product view
The SaaS estate behind your AI
Your AI does not act in a vacuum - agents and OAuth apps reach into a sprawling SaaS estate that holds your data. AgentFence (saas_governance.py) gives that estate posture: which apps are connected, which grants and scopes are risky, which agents and MCP servers touch SaaS data, and which configurations expose it. It is SaaS security posture management with AI access as a first-class concern.
What SaaS posture covers
| Area | What it surfaces | Tone |
|---|---|---|
| Connected apps | The SaaS apps in scope | Neutral |
| OAuth grants | Broad or dormant third-party access | Warn |
| Risky configuration | Public sharing, weak defaults | Warn |
| Agent / MCP access | AI reaching SaaS data | Governed |
From posture to governed action
Posture tells you where the risk is; the decision point governs what happens next. When an agent or app acts on a SaaS system, the same tenant-isolation, scope-containment, and sensitivity rules apply, so a risky posture finding connects directly to enforcement rather than staying a static report.
What you get
- Visibility of the SaaS apps and grants in your estate
- Risky configurations and over-broad grants surfaced
- Agent and MCP access to SaaS treated as posture
- A path from a finding to a governed, per-action decision
How it connects
- OAuth app governance covers the grant side of SaaS risk
- Non-human identity governance owns the agents and apps involved
- MCP governance covers servers bridging agents to SaaS
- The decision point enforces per-action access to SaaS data
Frequently asked questions
What is SaaS security posture management?
SaaS security posture management (SSPM) is monitoring and governing the security configuration of your SaaS estate - connected apps, OAuth grants, sharing settings, and access. AgentFence adds AI access as a first-class concern, surfacing which agents and MCP servers touch SaaS data alongside the classic posture signals.
Why include AI access in SaaS posture?
Because an agent or OAuth app that can read a SaaS system is part of that system’s attack surface. Leaving AI access out of posture gives an incomplete picture; treating agent and MCP access to SaaS as posture signals means you see the full set of ways your SaaS data can be reached.
What risky configurations does it surface?
Things like public sharing enabled, over-broad or dormant OAuth grants, weak default settings, and unmanaged agent or MCP access to SaaS data. These are the quiet exposures that leak data without an obvious breach, and posture brings them into view.
How does posture connect to enforcement?
Posture identifies where the risk is; the decision point governs the actions. When an agent or app acts on a SaaS system, the same tenant-isolation, scope-containment, and sensitivity rules apply, so a posture finding leads to a governed per-action decision rather than a static report.
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