Openlayer Guardrails

Openlayer Guardrails is a runtime policy layer for teams controlling AI inputs and outputs in production. It suits engineering, security, compliance, and finance groups—particularly in regulated environments—that need both intervention and an auditable record. The free tier is a practical pilot, but its narrow quotas and short retention make Enterprise the more realistic choice for sustained or broad use.

Overview

Guardrails examines live prompts and responses before they reach a model or user. Organizations can define rules for sensitive-data categories and topics an assistant should avoid, then choose whether a violation is blocked, redacted, escalated, or sent for review. Every evaluation, action, exception, and outcome can carry a timestamp, system version, owner, and supporting trace, giving investigations and compliance reviews a concrete record rather than an unexplained allow-or-deny result.

Enforcement commonly runs through the Gateway or directly through the SDK. Inline operation is designed to add minimal production latency. API, web, and self-hosted deployment are supported, including a customer’s own VPC and air-gapped environments; on-premise deployment is reserved for Enterprise.

Key features

• Threat coverage: Policies address prompt injection, jailbreaks, PII and PHI exposure, and harmful or toxic content. Openlayer says more than 50 PII and PHI entity types can be detected and blocked inline, a meaningful baseline for applications handling regulated data.
• Flexible enforcement: Blocking is not the only response. Redaction can remove sensitive material, escalation can flag a case, and review routing supports human judgment when an automatic rejection would be too blunt.
• Custom policies: Teams can align controls with organizational rules instead of relying only on fixed categories. That flexibility is valuable, but it also means someone must maintain policies as products, risks, and acceptable topics change.
• Audit evidence: Recorded policy outcomes help explain what happened and who owned the decision. This is stronger than a simple filter log for teams that need traceability.
• Developer access: SDKs are provided for Python, TypeScript, Go, Ruby, and Java, alongside Gateway integration. The language coverage supports mixed application stacks without limiting enforcement to one integration path.
• Security and deployment: Openlayer lists SOC 2 Type II, GDPR, and HIPAA, with AES-256 encryption at rest and TLS 1.2 or higher in transit. VPC and air-gapped options fit stricter environments.

Pricing

Basic

Basic costs nothing and starts with one member, five projects, one inference pipeline per project, 20,000 inferences per month, and 20 tests per project. Data retention is three months, and support is through the community Discord. It is well suited to a small proof of concept or a single team validating policy behavior; the one-member limit, project ceiling, and monthly inference cap quickly constrain shared or high-volume production work.

Enterprise

Enterprise uses custom pricing and removes the published member and project limits, with custom inference volume. It adds on-premise deployment, SAML SSO, a 99.99% SLA, white-glove onboarding, advanced support, and direct Slack access to the Openlayer team. This is the appropriate tier for organizations that need formal identity controls, contractual availability, or deployment outside a hosted environment.

Platforms

Openlayer Guardrails runs through API, web, and self-hosted deployments. Gateway and SDK integration cover common implementation patterns, and SDKs support Python, TypeScript, Go, Ruby, and Java.

Who it's for

Choose it when AI security and compliance require preventive controls plus evidence of each decision, especially for systems processing PII or PHI. Basic fits early evaluation and small workloads. Teams needing multiple contributors, longer-lived records, substantial inference volume, SAML, an SLA, or on-premise operation should plan around Enterprise. It is less suitable when you only need a small, standalone scan quota or an open-source library without a policy-management service.

Pros and cons

• Pros: Covers prompt injection, jailbreaks, toxic content, and more than 50 PII/PHI entity types; supports block, redact, escalate, and review actions; records detailed enforcement evidence; offers VPC and air-gapped deployment; provides broad SDK language support.
• Cons: Basic allows only one member and 20,000 monthly inferences; three-month retention limits longer audits; on-premise, SSO, SLA, and direct support require Enterprise custom pricing; custom policies require ongoing governance.

Alternatives

For a broader catalog of products, see AI Guardrail Software.

• PromptGuard is a better fit for users wanting desktop platforms and a 20,000-scan free allowance with 24-hour logs, or a $19.00 USD monthly Team plan.
• NVIDIA NeMo Guardrails suits developers seeking a free, open-source Python package; external models and services require separate setup.
• Oracle Mobile Authenticator is a free mobile authenticator rather than an AI runtime guardrail.
• Amazon Bedrock Guardrails fits teams already using Bedrock and willing to pay usage-based content-filter and denied-topic charges.
• Enkrypt AI Guardrails offers a free Explore tier with 500 starting credits, 50 credits per month, and seven-day retention.
• Fiddler Guardrails is an alternative freemium service for real-time harmful-exposure, hallucination, toxicity, PII/PHI, injection, and jailbreak detection.
• OpenSecureAI Prompt Firewall is aimed at self-hosted or web use with a free 2,000 API requests per month.
• CyberSecEval is a free open-source benchmark suite, not a runtime enforcement layer.

Verdict

Openlayer Guardrails is a strong choice for regulated or security-conscious teams that need configurable runtime intervention and defensible records of policy outcomes. Choose it for the combination of broad threat coverage, deployment control, and audit evidence; look elsewhere if your priority is an open-source library, a very small standalone quota, or predictable low-cost scaling beyond Basic.