Scale AI Across Your Organization.With Full Control.
Give each department AI agents built for its work, from one secure platform your IT team controls. Access follows each person’s role, sensitive data stays inside your environment, and every action is tested, recorded and ready for your auditors.
A sample platform console. All teams, packages and numbers are made up.
One Control Plane for Every Agent You Run
Business teams will keep building agents. ThinkStack gives IT and security one runtime to register, secure, test and audit all of them, inside your boundary.
Who it serves
What it draws on and acts through
See Every Team’s Agents in One View
Usage, cost, quality and policy events for every team, agent and version, so you can show the value of AI and catch problems before users do.
Roles by team and person decide who builds, publishes, uses and approves, with separation of duties.
Token, cost and rate limits per team, agent and user.
Every prompt, retrieval, tool call and decision traced per run.
Evaluation scores and drift tracked for every agent version.
Targets for latency, errors, cost and quality, with alerts to the owner.
Turn off a tool, an agent or a team’s access in one step, or roll back a version.
Usage and cost reported by team, cost center and use case.
Every event streamed to your SIEM and kept in an audit trail no one can edit.
Why One Runtime Beats Agent Sprawl
Teams are already building agents in copilot builders, chat tools and custom code. Each one brings its own credentials, policies and logs. ThinkStack gives IT one place to govern all of them.
Everything a Team Needs, Published by IT
Your platform team builds and approves the building blocks once. Teams use them in their own agents without handling credentials, writing integrations or rebuilding what another team already has.
Skills and Tools
Reusable skills and tools, versioned and tested, that any approved team can add to an agent.
ExploreAPIs and MCP Servers
Internal systems registered once as governed MCP servers and APIs, with permissions per tool.
ExploreKnowledge Bases
Curated, versioned knowledge, with access that follows your identity rules.
ExploreSecrets
Scoped, short-lived credentials injected at run time and never shown to a model.
ExplorePolicies and Guardrails
PII, data loss, topic and injection policies applied to every team by default.
ExplorePackaged Solutions and Runtimes
Ready-made agents for a use case, bundled with their skills, tools, knowledge and policies, in the runtime you choose.
ExploreWhich vendors have invoices more than 60 days past due, and what does our policy say we do next?
Context config
Eleven vendors have invoices more than 60 days past due, totaling $412,800.ERP · AP aging
Policy calls for a second notice at 60 days and escalation to the controller at 90 days.Policy §4.2
Each Team Gets Agents Tailored to Its Work
Teams use what IT has approved for them. A finance analyst works with the finance connections, knowledge and reviewers, and nothing else, while web search and other teams’ data stay off by policy.
Access by Team and Role
Each capability is granted to the teams and roles that need it, and nothing more.
Tailored, Not Rebuilt
Teams adjust prompts, knowledge and workflows within the limits IT sets.
Value You Can Show
Runs, hours saved and cost are reported for each team and use case.
Teams Never Handle a Credential
Agents act for people and systems, so they get the controls you already apply to any identity. The platform issues secrets per task, and teams build without ever seeing a key.
Enforced for every team, by default
- Role-based access decides who can build, publish, use and approve each capability
- Each agent has its own identity, owner and purpose in one catalog
- Least-privilege scopes for every tool, API and knowledge base
- Secrets issued per task, short-lived and never shown to the model
- Network egress limited to approved destinations
- Every call checked for PII, data loss and prompt injection
- Access reviewed on a schedule, with unused scopes revoked
Nothing Ships Until It Passes
Every new agent and every new version is tested on cases your experts graded before it reaches production. A release goes live only when it passes every threshold you set, and the same tests run again on every change.
Thresholds You Set
Grounding, data protection, injection resistance and scope, each with its own pass mark.
Calibrated to Your Reviewers
The automated judge is tuned until it agrees with the people who know the work.
Regressions Caught
The same cases run on every version, so anything that got worse is found before release.
Aligned to the Frameworks Your Security Team Uses
Controls are documented against the frameworks you already report on, so agents fit into your existing security program.
Security Frameworks
- NIST SP 800-53 Rev. 5
- NIST Cybersecurity Framework 2.0
- ISO 27001
- Zero Trust architecture
AI Risk
- NIST AI Risk Management Framework
- OWASP Top 10 for LLM Applications
- MITRE ATLAS
Identity and Logging
- SAML and OIDC single sign-on
- SCIM provisioning
- PIV/CAC for government
- SIEM export for every event
ThinkTrends documents its controls against the frameworks you use. Certification and authorization decisions remain with your assessors.
Related Modules
The platform modules these solutions are built on.
Frequently Asked Questions
Common questions about ThinkTrends IT & Security.
What does ThinkTrends offer for IT and security teams?
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ThinkTrends gives IT, AI and engineering teams one governed platform to provide agentic AI to the rest of the organization. The platform team publishes approved skills, tools, APIs, MCP servers, knowledge bases, secrets and packaged solutions once, business teams use them in their own workspaces, and every call is secured, tested, traced and reported by team.
How do IT teams share AI tools, skills and knowledge bases across an organization?
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With ThinkTrends, the platform team registers each skill, tool, API, knowledge base and secret once in a governed catalog, bundles them into packaged solutions, tests them against release gates and grants them to the teams and roles that need them. Teams reuse them without handling credentials or rebuilding integrations.
How is ThinkTrends different from Microsoft Copilot Studio or building agents in-house?
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Copilot builders and in-house frameworks help individual teams create agents, but each brings its own credentials, permissions, policies and logs. ThinkTrends is the platform across all of them: one catalog, role-based access control, one policy set enforced on every call, scoped secrets, release gates, per-team observability and one audit trail, deployed in your cloud, on-premises or air-gapped.
How does ThinkTrends track AI usage, cost and value by team?
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Every run is metered and traced, so usage, cost, hours saved and quality are reported by team, agent, version and cost center. Budgets and quotas can be set per team, with alerts when a team approaches its limit.
Does ThinkTrends support role-based access control for AI agents?
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Yes. ThinkTrends applies role-based access control across the platform. Roles such as platform admin, builder, publisher, team user, approver and auditor decide who can build, publish, use and approve each agent, tool and knowledge base, with separation of duties and access synced from your identity provider.
How does ThinkTrends secure AI agents and their credentials?
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Every agent is treated as an identity with least-privilege scopes. Secrets are issued per task, short-lived and never shown to the model, network egress is limited to approved destinations, and every call is checked for PII, data loss and prompt injection.
How does ThinkTrends test agents before teams get them?
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Every package and agent version is graded on cases your experts scored, against thresholds you set for grounding, data protection, injection resistance and scope. A version is published only when it passes, and the same tests run on every change.
Does ThinkTrends integrate with our identity provider and SIEM?
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Yes. ThinkTrends supports SAML and OIDC single sign-on, SCIM provisioning and PIV/CAC, and streams every agent event to your SIEM.
Is our data used to train AI models?
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No. ThinkTrends uses prompts, documents and logs only to do the work, inside your own environment. Your data is never used to train, tune or evaluate a model.