SaaS Agent Security

Control AI agents on SaaS infrastructure.

Discover and govern agents across Salesforce Agentforce, Amazon Bedrock AgentCore, and Microsoft Copilot Studio. Understand ownership and access, control agent capabilities, and audit policy violations.

Salesforce Agentforce
Amazon Bedrock AgentCore
Microsoft Copilot Studio

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The Dwaar approach

Connected platforms
SaaS and cloud agent environments
Common inventory
Agents and available metadata
Ownership and access
Review identities and capabilities
Supported controls
Apply policies and audit violations

The challenge

Agents outlive the projects—and people—that created them.

Fragmented inventories

Teams build agents across business platforms, leaving security teams to assemble a picture from separate consoles.

Powerful permissions

Connections to business systems give agents access to sensitive records and actions that deserve ongoing review.

Unclear ownership

An agent can remain active after its creator changes roles or leaves, while its access to critical information persists.

Capabilities

From visibility to control.

Discover agents and owners

Build an inventory across supported SaaS and cloud integrations. Bring together available ownership, environment, identity, and agent metadata.

Map capabilities and access

Use an agent capability registry to connect agents with available actions, connectors, knowledge sources, and MCP tools. Keep the context of each underlying platform.

Prioritise access risk

Review sensitive access and unapproved connections against your policies. Identify agents with missing ownership that need investigation.

Review agent ownership

Use the inventory to review agents after employee departures and role changes. Identify who should be responsible for agents that retain critical access.

Test and apply controls

Red-team accessible agent interfaces and audit policy violations. Restrict unapproved capabilities where the connected platform provides a supported control point.

Explore dForge

The employee leaves. Their agent still has access.

01 / Risk
An agent continues to access sensitive business records after the employee who created it leaves the organisation.
02 / Policy decision
An ownership review identifies the agent’s remaining access and the need for an accountable owner.
03 / Outcome
The security team uses the available platform controls to restrict access while ownership is resolved, retaining the evidence for review.

A sales agent reaches beyond the customer’s request.

01 / Risk
An injected instruction in a lead enquiry asks a sales agent to retrieve unrelated customer records and deal details.
02 / Policy decision
A configured policy checks the requested action against the agent’s intended role and the authorised data scope.
03 / Outcome
The connected control point restricts the disallowed action and records the violation for investigation.

A business agent connects to an unapproved tool.

01 / Risk
A team adds a new connector to an agent, creating an additional route to sensitive business information.
02 / Policy decision
The agent capability registry makes the connection available for review against the organisation’s approved-use policy.
03 / Outcome
The security team applies the available platform controls to restrict the unapproved capability and reviews the policy evidence.

Your context. Your policies.

Security policies tailored to your organisation.

Use application context, red-team findings, and available traffic analysis to inform policies that fit how your organisation works.

Dwaar’s in-house small language model (SLM) supports private policy evaluation. Choose deployment and data-handling boundaries suited to your environment, with control over sensitive policy inputs.

Discuss private deployment