Choose an AI agent by the access and actions your task requires—not just by what it can do. Give it the narrowest useful permissions, check whether you can review its activity, and keep your approval in the loop before consequential actions. These precautions reduce risk; they do not guarantee that an agent cannot be manipulated.
What makes an AI agent different from a chatbot?
An agent may do more than generate text: it can reason through a task, use connected tools, retain memory, and take actions. That combination changes the security question. If an agent can access email, files, or business applications, a mistake or manipulation may affect those resources. NIST highlights the risks created by agents’ access to diverse data, tools, and applications, and points to identity and authorization controls as relevant safeguards: NIST’s February 5, 2026 announcement.
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There is no general certification in the cited guidance that makes a commercial agent immune to attacks. NIST describes agent-hijacking defenses and evaluation as ongoing work, not a pass/fail endorsement of products: NIST’s January 2025 technical blog.
How to compare agents for a task
Compare the controls that affect your particular use. A feature that matters for an agent reading a public webpage may be less important than send approval for an agent connected to email.
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| What to check | Questions to ask |
|---|---|
| Permission scope | Can you limit access to the specific data, tools, and actions the task needs? Can access be read-only? |
| Action control | Can you review a draft or proposed change before the agent sends, publishes, deletes, or updates anything? |
| Identity and authorization | Can you identify the agent and constrain what it is authorized to do? |
| Auditability | Can you inspect what it accessed and what actions it took? |
| Untrusted input | Will it process external webpages, documents, or messages that could contain malicious instructions? |
| Memory and persistence | Does it retain information between tasks, and can you inspect or control what it remembers? |
These are evaluation questions, not a product ranking. The cited guidance does not compare current agent brands or establish how any particular product implements these controls.
Why external content can manipulate an agent
Prompt injection is an attempt to steer an AI system with instructions that conflict with the user’s intended task. OWASP distinguishes direct injection from indirect injection, in which hostile instructions appear in content the agent is asked to process, such as a webpage or document. NIST describes agent hijacking as malicious instructions placed in data an agent ingests, potentially prompting unintended harmful actions. See the OWASP prompt-injection guidance and NIST’s discussion of agent hijacking.
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For example, an agent asked to summarize an email may encounter text in that email that tries to redirect it to disclose information or take another action. Treat material the agent reads as untrusted input, even when it comes from a source you recognize. Limiting permissions and requiring review can reduce the possible impact, but neither makes malicious content harmless by itself.
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Set permissions to the minimum the task needs
Grant only the tools and authority necessary for the job. An agent that needs to summarize a document does not necessarily need permission to edit or share it. An agent that drafts a reply does not necessarily need permission to send it. OWASP recommends limiting tools to those required for the task and identifies excessive agency as a risk: OWASP GenAI Security Project guidance.
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Email: read, draft, review, then send
Mailbox access illustrates why the distinction between reading and acting matters. OWASP describes how a crafted incoming email could manipulate an assistant with mailbox access. Its risk-reduction recommendations include a mail-reading-only capability or read-only authorization where possible, and having the user review and send drafted messages. See OWASP’s excessive-agency guidance.
If an agent is helping with email, prefer a workflow in which it can read only what it needs and prepare a draft, while you decide whether and when to send. Apply the same principle to other consequential actions: preserve a human checkpoint before changes to records, sharing, deletion, purchases, or publication.
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Consider data exposure and persistent memory
Connected services can expose information through the tools an agent uses, its outputs, or persistent memory. OWASP lists data exfiltration and memory poisoning among agent-security risks: OWASP’s agent-security guidance. The specific exposure depends on the system and its configuration, so check what information the agent can access, where it may send results, and whether it retains information across tasks.
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What to check before using an agent at work
For workplace use, evaluate controls at the organizational level as well as the individual task level. NIST’s work on agent identity and authority identifies agent identification, authorization, auditing, and non-repudiation as relevant questions. Its NCCoE project describes work toward a practice guide with example implementations and lessons from lab work; it is project work, not certification of current products. See the NIST NCCoE project hub.
- Determine who is responsible for authorizing the agent and the resources it can access.
- Check whether activity can be audited so an organization can review what the agent accessed and did.
- Require approval for consequential actions rather than relying on the agent to judge when an action is safe.
- Review how the agent handles untrusted content and persistent memory before connecting it to sensitive systems.
These checks help organizations evaluate capabilities; they do not establish that a vendor or product is approved, compliant, or secure in every configuration.
Quick Recap
A practical selection checklist
- Write down the task and the exact data and actions it requires.
- Choose an agent that can restrict its access to that scope; prefer read-only access when it is sufficient.
- Check whether you can identify its authority and review its activity.
- Keep your approval before it sends messages or makes other consequential changes.
- Assume external content may contain hostile instructions, and limit the damage the agent could cause if misled.
- Review memory and data handling, especially before providing sensitive information or connecting work accounts.
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