Runtime guardrail generator for LLM apps and AI agents

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Describe your LLM application or agent — what it is for, what data it handles, what tools it can use and how autonomously it acts — and the generator drafts the controls VERITRAIL would recommend, as a policy you can take to your engineering and security teams.

What you will provide

Purpose and environment (development, pilot, production).
Data sensitivity, from public to special-category.
Autonomy: suggests only, acts with approval, or acts autonomously.
Tools the system can call and the operations each performs — read, write, delete, external send, payment or export.
Whether it uses a vendor model and whether it affects customers or the public.

What you will get

Output	What it contains	Controls
Risk profile	Suggested tier and the factors behind it (Inferred)	EI-02
Tool permission matrix	Each tool and operation with ALLOW, DENY or REQUIRE_HUMAN_APPROVAL; default-deny for anything unlisted	IS-11, IS-13
Data handling	Redaction entities and surfaces (prompts, responses, tool parameters, tool outputs)	IS-04
Limits	Requests per minute, tool calls per session, tokens per day, monthly cost cap	IS-16
Monitoring and logging	Decision logging, redacted logging levels, tamper-evident audit	SE-08, GL-08
Incident response	Kill-switch scopes, authorized roles and target time-to-disable	IS-15, SE-04
Rollout plan	Observe → Warn → Protect → Enforce, with exit criteria; Contain for incidents	IS-12
Draft policy	YAML and JSON in the VERITRAIL policy schema, status draft	IS-12

VERITRAIL controls cited

IS-11 Least-privilege tool accessIntegrity, Safety & Security · priority: criticalNIST AI RMF: MEASURE 2.7, MANAGE 2.2ISO/IEC 42001: A.6.2.6, A.4.4EU AI Act: Art. 15, Art. 14
IS-12 Runtime guardrails and policy enforcementIntegrity, Safety & Security · priority: highNIST AI RMF: MANAGE 2.2, MANAGE 2.4, MEASURE 2.7ISO/IEC 42001: A.6.2.6EU AI Act: Art. 15, Art. 14
IS-13 Human approval for high-impact actionsIntegrity, Safety & Security · priority: criticalNIST AI RMF: GOVERN 3.2, MANAGE 2.2ISO/IEC 42001: A.9.2, A.6.2.6EU AI Act: Art. 14
IS-04 Sensitive data redaction and maskingIntegrity, Safety & Security · priority: criticalNIST AI RMF: MEASURE 2.10ISO/IEC 42001: A.7.4, A.6.2.6EU AI Act: Art. 10
IS-16 Rate, budget and resource limitsIntegrity, Safety & Security · priority: mediumNIST AI RMF: MANAGE 2.2ISO/IEC 42001: A.4.5, A.6.2.6EU AI Act: Art. 15
IS-15 Kill switch and rollbackIntegrity, Safety & Security · priority: criticalNIST AI RMF: MANAGE 2.4ISO/IEC 42001: A.6.2.6EU AI Act: Art. 14

Framework mappings are indicative VERITRAIL interpretations (Control Library v1.0.0); they are not legal advice and do not establish conformity or compliance.

How to use the draft

Review with the business owner, platform engineering and security. Check every ALLOW rule against the agent's declared purpose.
Adjust thresholds — for example, the value above which a refund needs approval — to your risk appetite.
Deploy in Observe mode and review the decision log for false positives and missing rules.
Promote through Warn, Protect and Enforce against exit criteria, with approval at each production change.

The method is explained in VERITRAIL Shield and in Runtime guardrails for AI agents: a practical rollout model.

Limitations

The generator works from your description; it cannot see your code, prompts or infrastructure. Recommendations are a starting point grounded in VERITRAIL controls, not a security assessment, and do not replace threat modelling (IS-01) or adversarial testing (IS-14).

Describe your LLM application or agent

The output is a draft starting point for review by your security and governance teams. Changing production runtime policy requires human approval.

Application or agent name (required)

Use an internal project name. Do not enter personal data, secrets or credentials.

Intended purpose and context of use

User groups or business functions served

Comma-separated, e.g. customer support agents, claims handlers.

Who is affected by its outputs?

Model (name and version)

Model vendor or hosting provider

Tools, APIs, plugins and databases

One per line as name:operation, where operation is read, write, delete, external_send, payment or export. Example: crm_lookup:read. If you omit the operation VERITRAIL infers it from the name and labels it Inferred.

Data categories processed

Comma-separated, e.g. customer contact details, order history.

Highest data sensitivity

Autonomy

Human-approval model

Deployment environment

Assigned risk tier (if any)

Regulatory obligations

Comma-separated, e.g. GDPR, EU AI Act, HIPAA, PCI DSS.

Existing security controls

Comma-separated, e.g. SSO, DLP, SIEM, secrets manager, red-team testing.

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Frequently asked questions

Can I deploy the generated policy directly to production?

You should not. The output is a draft starting point. It must be reviewed by the system owner and security, tested in Observe mode, and approved before any production use. Changing production runtime policy always requires human approval in VERITRAIL.

What should I not enter?

Do not enter secrets, credentials, personal data or confidential details. Describe the system in general terms — tool names and categories, data sensitivity, autonomy — which is all the generator needs.

Last reviewed: 21 October 2026