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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Repair Windows errors before they cause bigger problemsFix Now →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Choose an AI agent platform by verifying how it identifies agents, limits their authority, controls tool use, protects data, records actions, and supports ongoing security testing—not by relying on a vendor’s general security claims. Test those controls against a real workflow in a controlled environment, then confirm that the exact deployment, plan, region, and contract meet your organization’s requirements.
What security controls should an AI agent platform provide?
An agent can interact with company data and tools on a user’s or workflow’s behalf. Assess controls at those boundaries: know which agent is acting, limit what it can do, govern each consequential action, and preserve enough evidence to understand what happened.
| Control area | What to verify in a proof of concept | Warning sign |
|---|---|---|
| Agent identity and ownership | Can you inventory agents and assign each a distinguishable identity? Can records connect an agent to its owner, parent process, or delegated user? NIST’s draft concept paper discusses agent identification, authorization, delegation, logging, and data-flow provenance. | All agents use a shared service identity, or activity cannot be tied to an owner or workflow. |
| Authorization and delegation | Can you scope permissions to the agent’s task, resources, and tools? Can delegated user authority be limited and revoked? Are access decisions linked to agent identity? NIST discusses OAuth 2.0 delegation and policy-based access control as approaches to consider. | The agent receives broad user or service credentials without a clear way to restrict or revoke them. |
| Tool-boundary enforcement | Can policy allow, deny, or condition a tool call before it executes? Can high-risk actions require human approval? Test the actual tool endpoints, including alternate or chained paths to the same action. | Policy is only described in prompts, or approval can be skipped by calling another tool or route. |
| Prompt and data protection | Can the platform inspect untrusted input and tool responses for prompt injection, jailbreaks, sensitive-data exposure, or secrets? Determine what information is retained or sent to external services. | There is no way to inspect or contain malicious tool output, or data handling is unclear for the chosen configuration. |
| Isolation and encryption | Can execution and agent state be isolated appropriately? Check encryption and key-management choices for memory, credentials, and logs, along with network access boundaries. | Isolation, network reach, or key control cannot be established for the deployment you intend to use. |
| Auditability and response | Can audit records connect authentication, agent identity, policy decisions, tool calls, relevant data flows, and outcomes to a user or workflow? Can you export or retain the records in systems used for incident response? | Logs show only that a model ran, without enough context to reconstruct the agent’s actions. |
| Testing and operations | Can teams sandbox tools, run adversarial scenarios, monitor anomalies, and repeat tests after material changes to models, prompts, tools, connectors, or data sources? | Security testing ends at launch, or there is no process to retest after changes. |
| Buyer-specific fit | Can the vendor substantiate the requirements for your identity integration, region, deployment, compliance obligations, contract, and operations? | A general product page is treated as proof that every plan, region, or architecture meets your requirements. |
These checks align with NIST’s agent identity and authorization work and OWASP’s lifecycle-oriented security guidance. They are evaluation criteria, not a claim that any particular platform satisfies them by default.
How to test a platform against a real business workflow
Use a controlled proof of concept built around one workflow with meaningful risk—for example, an agent that reads internal records and can also update a system. Test the configured service and its tool connections, not just a demo or vendor overview.
#1 Best Overall
- Map the workflow. Record its users, data sources, tools, and actions that could create financial, privacy, or operational impact. Distinguish actions that only read information from those that change or disclose it.
- Set the agent’s authority. Define its identity, task scope, allowed tools, and any delegated user authority. In the test environment, try requests that exceed those boundaries and confirm they are denied or otherwise handled as intended.
- Test hostile and untrusted content. Feed adversarial content through realistic inputs and tool responses. Check whether it can redirect the agent, expose sensitive information, or trigger an unintended tool action.
- Exercise approval gates. Require human approval for consequential actions. Try alternate routes and chained tool calls to determine whether the same action can occur without approval.
- Inspect the audit trail. Follow test actions through the records. Verify that you can identify the agent, action, policy decision, and relevant user or workflow context, and that records can be retained for your incident-response needs.
- Verify technical boundaries. Check execution and state isolation, encryption, key management, and network access against the intended deployment. AWS guidance, for example, discusses customer-managed keys for AgentCore resources and logs, as well as private-resource access and security isolation.
- Repeat after changes. Re-run relevant tests when the model, prompts, tools, connectors, or data sources change. OWASP guidance covers threat modeling, sandboxed testing, runtime guardrails, audits, and monitoring across the agent lifecycle.
How do the major cloud platforms describe their agent-security controls?
Official documentation can help identify features to test, but vendor descriptions are not independent verification or a guarantee for every configuration. Treat these examples as starting points for questions about the specific service, plan, and deployment you are evaluating.
| Platform example | Documented capabilities or guidance | What to validate |
|---|---|---|
| Microsoft Entra Agent ID | Microsoft describes registering and managing agent identities, logging authentication and agent actions, and using Conditional Access and agent risk signals. | Confirm which capabilities apply to your deployment and license, how agent actions appear in your logs, and how identity and access policies apply to the agents you plan to run. |
| Gemini Enterprise Agent Platform | Google Cloud describes unique agent identities, audit and governance capabilities, runtime business-rule enforcement, and Model Armor templates for inspecting prompts and tool responses for prompt injection, jailbreaks, and sensitive-data leaks. | Test enforcement and inspection on your workflow, including how policies behave at tool boundaries and which prompt and response content is inspected in your configuration. |
| Amazon Bedrock AgentCore guidance | AWS guidance recommends customer-managed encryption keys for AgentCore memory, identity token vaults, gateway configuration, and logs, and discusses private-resource access and security isolation. | Verify which recommendations and controls are available in your architecture, how keys and private-resource access are configured, and whether the resulting boundaries match your threat model. |
The cited materials do not establish comparative performance, pricing, contract terms, or suitability for a particular company. Choose among platforms only after validating the controls that matter in your own configured environment.
How NIST and OWASP guidance can inform your decision
NIST’s AI Agent Standards Initiative describes work on voluntary guidelines and industry-led standards, as well as research into authentication, identity infrastructure, and security evaluations. Its page, updated August 14, 2026, states: “The AI Agent Standards Initiative ensures that the next generation of AI—agents capable of autonomous actions—is widely adopted with confidence.” That initiative is not evidence that a product has been certified against a finished agent-security standard.
NIST’s NCCoE draft concept paper, published in February 2026, explores identifying software and AI agents, authorizing their rights, delegating user access, logging agent actions, and tracking data flows and provenance. It discusses OAuth 2.0 and policy-based access control among relevant approaches. Use it to shape questions about identity and authorization, while recognizing that it is a draft concept paper rather than a buyer-specific product assessment.
OWASP’s State of Agentic AI and AI Security Solutions Initiative materials address security across planning, development, testing, release, deployment, operation, governance, and monitoring. Practices they describe include threat modeling, least-privilege or ephemeral credentials, human approval for high-risk actions, sandboxed tool testing, action audits, runtime guardrails, and ongoing monitoring. Apply those ideas throughout the platform lifecycle rather than treating initial setup as the only security review.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What to confirm before selecting a platform
Public product descriptions cannot establish whether a platform meets every organization’s obligations. Before making a decision, obtain current evidence for the exact plan, region, architecture, and contract you expect to use.
- Compliance: Confirm the specific attestations or contractual commitments your organization requires, and whether they cover the services and configuration in scope.
- Data residency and handling: Establish where prompts, tool responses, agent state, credentials, and logs are processed or retained, and which external services receive them.
- Identity integration: Confirm how agent identities work with your identity provider and access policies, including ownership, delegation, revocation, and audit attribution.
- Operational fit: Verify that your team can monitor agent behavior, investigate records, manage keys and permissions, and maintain the approval and testing processes your workflow needs.
- Contract and service boundaries: Confirm responsibility boundaries, data-use terms, available controls, and any conditions that affect the deployment you intend to operate.
Make the decision on demonstrated control coverage for your workflow and documentary evidence for your buyer-specific requirements. A platform’s feature list is a shortlist aid; the configured proof of concept and the terms that govern your deployment are what you need to validate.
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