Wingback SecuritySolution · AI SaaS agent security
Security for AI agents inside your SaaS
Your SaaS vendors now ship agents of their own: Copilot Studio bots, Agentforce agents, Bedrock and Azure OpenAI deployments. Wingback discovers every one of them and scores the risk, without an agent to install in someone else's platform.
The problem
A business user can stand up a Copilot Studio bot or an Agentforce agent in an afternoon, wired to real data and real permissions, and security never sees it. These agents live in accounts your SOC does not monitor and inherit scopes nobody reviewed. The result is a growing population of AI actors with access to customer data and internal systems, and no inventory of what exists.
How Wingback secures SaaS and cloud agents
- Agentless discovery. Wingback scans your cloud and SaaS for AI already in use: Bedrock models, agents, knowledge bases, guardrails and flows; Azure OpenAI deployments and AI agents; Copilot Studio and Agentforce; RAG indexes and vector stores.
- Exposure analysis. IAM and secrets analysis flag over-broad roles, public or unauthenticated endpoints, and model APIs without authentication.
- Scored and owned. 40+ misconfiguration checks, each asset scored 0 to 100 on configuration, exposure, change history, and ownership, with findings auto-routed to the owning team.
- AIBOM. A CycloneDX 1.6 AI bill of materials per model and agent, versioned and exportable.
FAQ
- What is AI SaaS agent security?
- AI SaaS agent security covers the AI agents and assistants that live inside third-party SaaS and cloud platforms: Microsoft Copilot Studio, Salesforce Agentforce, Amazon Bedrock agents, Azure OpenAI deployments, and the RAG indexes and vector stores behind them. It finds these agents, scores their exposure, and governs what they can access.
- How does Wingback discover SaaS and cloud agents?
- Wingback scans your cloud accounts and SaaS agentlessly for AI services already in use: Bedrock models, agents, knowledge bases and guardrails, Azure OpenAI deployments and AI agents, Copilot Studio and Agentforce agents, and RAG indexes. Each asset is inventoried, scored, and routed to its owner.
- What SaaS and cloud platforms are covered?
- AWS (Bedrock and AgentCore), Azure (OpenAI, AI Foundry, AI agents), Microsoft Copilot and Copilot Studio, Salesforce Agentforce, plus RAG indexes and vector stores. GCP/Vertex support is on the roadmap.
- What risks does Wingback find in SaaS agents?
- Over-broad roles, public or unauthenticated agent endpoints, model APIs without authentication, misconfigured guardrails, and sensitive data exposed through a RAG index. Each finding is scored 0 to 100 and mapped to the team that owns the asset.