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Choose an AI agent security platform by verifying how it controls an agent’s tools, identity, permissions, memory, and consequential actions—not by relying on prompt filtering or broad efficacy claims alone. Start with your own agent inventory and threat scenarios, then compare candidates through documented evidence and a proof of concept (PoC) that tests least privilege, authorization, approval, auditability, and resistance to adaptive attacks.
Why agent security requires more than prompt filtering
An AI agent can interpret requests, plan work, use connected tools, retain memory, and act toward a goal. That means a security review must follow the full path from user request and external content to model, memory, tool call, downstream permission, and resulting action.
OWASP identifies risks including direct and indirect prompt injection, tool abuse, privilege escalation, data exfiltration, memory poisoning, goal hijacking, excessive autonomy, and misuse of high-impact actions. NIST’s Center for AI Standards and Innovation (CAISI) describes agent hijacking as indirect prompt injection: instructions hidden in material an agent reads can redirect it toward unintended actions.
CAISI’s January 17, 2025 evaluation illustrates why a fixed checklist or familiar attack suite is not enough. In one experiment using an upgraded Claude 3.5 Sonnet and a held-out set of Workspace tasks, the strongest baseline attack succeeded 11% of the time, while the strongest newly developed attack succeeded 81% of the time. Those figures apply only to that model, attack set, and experimental context; they are not general rates for deployed agents or security products.
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Set your evaluation scope before speaking with vendors
List the agents and connected systems you need to protect, including internal and third-party agents, the environments where they run, and the business tasks they can perform. For each task, record the data it can read, the tools it can invoke, the identities and permissions those tools use, and any action that could change records, disclose information, send a message, execute code, or spend money.
Use that inventory to define the boundary of the PoC. A vendor may claim support for a framework, protocol, tool, or deployment pattern; that claim is not proof that the product covers your implementation. Confirm the exact connector and behavior in your own environment.
What capabilities should you evaluate?
Agent, tool, and protocol coverage
Ask which agents, runtimes, frameworks, tools, extensions, protocols, and environments the platform can discover and protect. Determine whether it covers the agent orchestration and lifecycle points relevant to your stack, including internal agents and third-party connections. Verify every claimed integration hands-on.
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Check whether policy can distinguish actions by effect and risk. Reading a file is not equivalent to editing or deleting it; drafting an email is not equivalent to sending it. Ask the vendor to demonstrate how the product identifies and controls those differences for your actual tools.
Rank #2
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Identity, delegated authority, and least privilege
Ask how the product represents an agent’s identity and delegated authority, authenticates agents, and carries authorization across connected systems. Establish whether an agent acts in the initiating user’s security context where appropriate, and how the platform integrates with your existing identity controls.
Check whether permissions can be narrowed to the minimum tool function and data scope a task needs. An agent that summarizes email may need read access, but not permission to send messages. OWASP recommends minimizing the available extensions, their functionality, and their permissions, and executing extensions in the user’s context with minimum privileges. NIST’s AI Agent Standards Initiative highlights agent identity and authentication infrastructure as an area of standards and interoperability work; it is an evolving initiative, not a settled product certification requirement.
Policy enforcement and approval
Map where the platform enforces policy: within the agent, at an intermediary or tool gateway, or in the downstream application. Prefer an architecture that validates each downstream request rather than relying on the model to decide whether an action is allowed. Ask what happens if the agent, a gateway, or a connected application is unavailable.
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Rank #3
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Prompt injection, data protection, and memory
Test how the platform handles malicious instructions embedded in emails, files, web pages, and other external content. Also ask how it governs sensitive information in prompts, tool arguments, outputs, and persistent memory; whether memory can be isolated or validated; and what controls address attempts to poison stored context.
There is no universal detection-efficacy threshold established by the cited guidance. Ask the vendor to define what its controls detect, block, or contain, and test those claims with your own content and threat scenarios rather than treating a feature label as proof.
Observability and incident response
Ask whether an audit record can reconstruct an agent action, including:
- the initiating user and agent identity;
- the policy decision and tool invoked;
- the tool arguments, or a safe representation that preserves investigative value;
- the downstream authorization result and any approval status; and
- the resulting action or failure.
Confirm alert routing to your security operations workflow, retention and export options, and whether responders can pause an agent or revoke its access. OWASP recommends logging and monitoring agent extension activity; assess whether the records are detailed enough for your investigation, audit, and compliance needs.
Rank #4
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Testing and ongoing evaluation
Ask for the vendor’s evaluation methodology, scenario coverage, and update cadence. A useful test program should support realistic task-based red teaming, repeated attempts, task-level outcome measurement, and regression testing as new attacks emerge. Request reproducible evidence from your setup and a clear account of limitations, not a single broad claim that the product is effective.
OWASP’s Artificial Intelligence Security Verification Standard (AISVS) 1.0, released in June 2026, organizes 191 requirements across 12 chapters and three appendices, with verification levels 1–3. It can help turn security expectations into acceptance criteria, code-review checks, CI/CD tests, assessments, and procurement questions. It is a structured baseline, not evidence that a particular product meets your needs.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Compare candidates against testable evidence
Score each candidate against the same criteria and tie every rating to a test result, configuration demonstration, or documentary artifact. The table is a comparison framework, not a ranking of products.
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| Evaluation axis | Evidence to request or verify |
|---|---|
| Agent, runtime, and protocol coverage | Demonstrate discovery and policy enforcement for the specific agents, tools, protocols, and deployment environments in scope. |
| Identity and delegated authorization | Show how agent identity is authenticated and how the initiating user’s authority is represented across downstream systems. |
| Least privilege and tool-level policy | Test whether permissions can be constrained by function, data, and action, including read versus write or send. |
| Prompt injection, sensitive data, and memory | Run buyer-defined scenarios involving untrusted content, sensitive data handling, and persistent-context manipulation. |
| High-impact action enforcement | Demonstrate downstream authorization and the required approval path for the buyer’s consequential actions. |
| Auditability, alerting, and response | Inspect event detail, export and retention, alert integration, and the ability to pause an agent or revoke access. |
| Adaptive testing and evidence quality | Review reproducible task-level results, repeated-attempt testing, attack updates, and known limitations. |
| Operational fit and lifecycle coverage | Verify integration with existing identity, security operations, development, and deployment workflows, plus coverage of relevant lifecycle stages. |
OWASP’s AISVS and agent-security guidance provide vendor-neutral control considerations; NIST’s agent initiative emphasizes identity and interoperability research. OWASP’s AI Security Solutions Landscape can help identify companies to investigate, but a directory is not independent comparative testing and does not establish product effectiveness, suitability for your stack, or pricing.
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Run a proof of concept with realistic failure cases
Agree on the test tasks, expected controls, evidence to capture, and pass/fail criteria before the PoC begins. Include scenarios that test both whether an agent can complete legitimate work and whether the platform prevents unauthorized side effects.
- Separate read from write. Give an agent a document-reading task while its connected tool has broader edit or delete capability. Confirm that an unauthorized write is blocked and that the attempt appears in the audit record.
- Introduce untrusted instructions. Place instructions in an external email or document that conflict with the user’s request. Observe whether the agent is redirected, and whether the platform detects or contains the behavior.
- Test a consequential action. Request an irreversible or externally visible action. Confirm that the intended approval is required and that downstream authorization is checked before execution.
- Test identity boundaries. Run the same task as users with different access rights. Verify that the agent cannot use a shared privileged identity to cross user boundaries.
- Vary the attack. Repeat the evaluation with new, task-specific attacks instead of only replaying a fixed benchmark. Record outcomes by task and attempt, along with any limitations.
These scenarios are evaluation prompts derived from OWASP and NIST/CAISI guidance; they are not claims of tests performed on any vendor product. Use your own sensitive-data rules, application controls, and risk tolerances to set the acceptance criteria.
Make the purchase decision from demonstrated fit
Do not select a platform on feature names, a directory listing, or a single benchmark result. Choose the candidate that demonstrates the required coverage and enforcement in your environment, preserves the right identity and authorization boundaries, supplies usable evidence for response, and fits your operational workflows. Record unresolved gaps as explicit risks with an owner and mitigation before procurement.
Quick Recap
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