Openlayer Guardrails

Openlayer Guardrails checks live AI inputs and outputs and can block, redact, escalate, or send policy violations for review. It targets prompt injection, jailbreak attempts, PII and PHI exposure, and harmful or toxic content. Openlayer says it detects and blocks more than 50 PII and PHI entity types inline. Teams can customize which sensitive-data categories to block and which topics an assistant should avoid. Guardrails are commonly enforced through the Gateway or applied through the SDK. Decisions can be logged with a timestamp, system version, owner, supporting trace, and reason for blocking a request or response. Openlayer says guardrail activity contributes compliance evidence and names the EU AI Act, ISO/IEC 42001, NIST AI RMF, and OSFI E-23. Connections include SDKs, framework integrations, a network-level gateway, CLI, and REST API. Deployment options include a customer's VPC and air-gapped environments; on-premise deployment is available on Enterprise. Basic is free, while Enterprise pricing is custom.

Openlayer Guardrails combines live policy enforcement with configurable controls and decision records. The free Basic plan has firm member, project, pipeline, and logging limits; Enterprise pricing is custom.

It suits engineering, AI, security, compliance, and finance teams working with AI systems, including teams in healthcare and financial services. Its controls and evidence features may be relevant where policy enforcement and compliance records matter.

Openlayer Guardrails is a runtime policy layer for applications that send AI inputs and outputs through its Gateway or SDK. It is best suited to engineering, security, and compliance teams that need configurable controls and decision records; its free plan is useful for a small setup, but its strict workspace and traffic caps make broader use an Enterprise decision.

Overview

Guardrails can block, redact, escalate, or route policy violations for review as live requests and responses pass through an application. Teams can tune sensitive-data categories and topics an assistant should avoid, which makes the controls adaptable to an organization’s policies rather than limited to a fixed set of filters.

The product targets prompt injection, jailbreak attempts, PII and PHI exposure, and harmful or toxic content. Openlayer says it detects and blocks more than 50 PII and PHI entity types inline. Each decision can carry a timestamp, system version, owner, supporting trace, and reason for a block, giving teams a useful record for investigating how a policy was applied.

Key features

Teams can enforce controls through the Gateway or apply them directly with the SDK. SDKs, framework integrations, a CLI, and a REST API provide additional connection paths, while the Gateway is designed to work across LLM providers. That flexibility can suit teams fitting checks into an existing stack; organizations that need controls to sit in one particular place should choose their integration path accordingly.

Openlayer says guardrail activity feeds into compliance evidence and names the EU AI Act, ISO/IEC 42001, NIST AI RMF, and OSFI E-23. That can help teams assemble records for governance work, but the evidence feed should not be mistaken for a guarantee of compliance.

Deployment options include a customer VPC and air-gapped environments; on-premise deployment is reserved for Enterprise. Openlayer states it has SOC 2 Type II certification and GDPR compliance, supports HIPAA-aligned use cases, and encrypts data at rest with AES-256 and in transit with TLS 1.2 or higher. These are relevant assurances for sensitive workloads, while teams needing on-premise deployment will have to consider the custom-priced tier.

Pricing

Basic: free. It includes one member, five projects, one inference pipeline per project, 20,000 inference logs per month, 20 tests per project, one workspace, three months of data retention, and Discord community support. The no-cost entry point can serve a single-member evaluation or small deployment, but the member, pipeline, and log ceilings leave little room for a larger team or sustained production traffic.

Enterprise: Custom pricing. It includes unlimited members and projects, custom inference pipelines and logs, unlimited tests, custom data retention, SAML SSO, on-premise deployment, white-glove onboarding, and direct Slack access to Openlayer’s team. It is the practical fit for organizations that outgrow Basic or require those deployment and support options, though the custom price makes cost comparison dependent on a quote.

Platforms

Openlayer Guardrails is available through API, web, and self-hosted deployments. Its hybrid deployment model, including VPC and air-gapped options, gives organizations choices about where it runs; on-premise deployment requires Enterprise.

Who it's for

Engineering, AI, security, compliance, and finance teams are among Openlayer’s intended users, including teams in healthcare and financial services. It is a stronger fit for organizations that need configurable live enforcement plus records for governance than for a solo user looking only for a lightweight prompt filter. Basic can establish a small footprint, but teams needing multiple members, more than five projects, or greater log capacity will need to move beyond its limits.

Pros and cons

• Pros: Live controls cover both inputs and outputs, with actions including blocking, redaction, escalation, and review routing.
• Pros: Policies can target sensitive-data categories and avoided topics, and Openlayer says inline detection covers more than 50 PII and PHI entity types.
• Pros: Decision records and multiple integration paths support investigation and governance workflows.
• Cons: Basic is limited to one member, one workspace, five projects, and 20,000 inference logs per month, restricting team-wide or higher-volume use.
• Cons: Basic retains data for only three months and offers Discord community support; direct Slack access and custom retention require Enterprise.
• Cons: Enterprise pricing is custom, which makes budgeting less straightforward for teams that need its expanded capacity or on-premise option.

Alternatives

For a broader comparison, browse LLM Security Tools or AI Governance Software.

• Sanctum Runtime is worth considering if open-core licensing and broad platform coverage, including Android and iOS, matter more to your choice.
• Amazon Bedrock Guardrails may suit readers seeking a paid, web-based option with separately priced text content filters and denied topics.
• PromptGuard is an alternative for teams that want a free tier with 20,000 monthly scans, one API key, one project, and 24-hour log retention, or a Team plan at $19 a month.
• GLACIS is another freemium API, self-hosted, and web option, with a free account that requires no card and takes about a minute to set up.
• Prompt Inspector may fit teams seeking a free plan with 1,000 monthly detections, a REST API, SDK, and MCP.
• Guardrails AI is a free, open-source framework option for teams that prefer that model.
• Lasso AI Security Platform is a paid alternative available through API, extension, and web.
• VotalAI is a paid option that also offers a free plan and free trial.

Verdict

Choose Openlayer Guardrails if your team needs live, configurable AI policy enforcement paired with traceable decisions and governance evidence. Its flexible integration and deployment paths are meaningful strengths, but the free plan is too constrained for a multi-member team, and Enterprise’s custom pricing may send smaller organizations looking for a simpler, more predictable alternative.