Agentic Index
Guardrails AI vs Lakera (2026)
Choose Guardrails AI to build output validation into your own stack with an open source framework, and choose Lakera to buy managed runtime security against prompt injection and data leakage. Guardrails AI is open source under Apache 2.0 with a hub of prebuilt validators and a managed Pro tier via sales, while Lakera is a contact sales enterprise product now sold through Check Point. This is the classic build versus buy split in LLM safety tooling.
| At a glance | Guardrails AI | Lakera |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Open source (Apache 2.0) · managed Pro contact sales | Contact sales (enterprise, via Check Point Infinity) · free Gandalf testing game |
| Free / trial | Free and open source under Apache 2.0; pip install, self host | Gandalf, the company's adversarial AI security game, is free to play. Commercial Lakera Guard and Lakera Red pricing is handled through sales. |
| Pricing confidence | public partial | contact only |
| Feature |
L
Lakera
|
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | No / Not documented |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
No / Not documented | No / Not documented |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Partial | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | No / Not documented |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | Partial |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
L
Lakera
|
|
|---|---|---|
|
Entry price Lowest public entry point |
Open source (Apache 2.0) · managed Pro contact sales | Contact sales (enterprise, via Check Point Infinity) · free Gandalf testing game |
|
Pricing confidence How public the numbers are |
Public — partial | Contact only |
|
Billing Primary billing axis |
Open source is free; managed Pro billing is not publicly disclosed | Enterprise licensing, typically by usage and deployment scope; sold through Check Point's Infinity platform and not publicly itemized |
|
Variable cost Workload / overage exposure |
Low variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Sales call |
Choose Guardrails AI if
- Your team wants composable, code level control over validation and correction logic
- Open source with no per request vendor dependency fits your architecture
- Structural output validation matters as much as adversarial defense
Choose Lakera if
- Adversarial attacks are the threat model and you want a dedicated defense vendor
- A managed service with continuous red teaming beats maintaining validators in house
- Enterprise procurement through Check Point suits your security organization
Lakera was acquired by Check Point in 2025 and now sells primarily through the Check Point Infinity platform. Buyers outside the Check Point ecosystem should weigh roadmap priorities accordingly.