1
Proxy and gateway enforcement
Put Datawiza in front of AI agents, MCP servers, APIs, SaaS tools, and web apps to enforce decisions before requests reach sensitive systems.
Approach
Inline identity control for AI agents and critical apps
Datawiza sits in the access path so enterprises can enforce identity, policy, credential protection, and audit without rebuilding every agent workflow or business application.
Policy enforced
Identity
UserAgentService
Auth source
Entra IDOktaDuo
Datawiza control plane
Contextuser, agent, tool, action
Decisionallow, deny, constrain, approve
Secretsbrokered at runtime
Evidenceaudit-ready activity trail
AI tools
MCPAPIsSaaS
Enterprise apps
JDEEBSSharePoint
ActorActionResult
sales-agentread crm accountallowed
dev-agentcall prod apiapproval
unknown-agentexport recordsdenied
Why inline
Security controls should meet traffic where it already flows
2
Identity-aware policy
Evaluate access using the user, agent, app, action, environment, and risk context instead of relying on static network boundaries.
3
Credential protection
Broker downstream credentials at runtime so secrets, tokens, and privileged sessions do not have to live inside agent or app code.
4
Audit-ready visibility
Capture the access decision, identity context, target, action, and outcome so security teams can prove what happened.
Where it applies
One model for the new AI runtime and existing enterprise apps
1
AI agents and MCP servers
Control which tools agents can call, how credentials are handled, and which actions require approval or additional policy checks.
2
Legacy and custom web apps
Add MFA, SSO, OAuth, SAML, access policy, and audit to applications that cannot easily support modern identity on their own.
3
Enterprise identity providers
Use Microsoft Entra ID, Okta, Ping, Duo, Google, Auth0, and other identity providers already trusted by the organization.
4
Cloud, on-prem, and hybrid environments
Deploy as SaaS, private cloud, on-premises, or hybrid depending on where critical applications and tools already run.