How does EarlyCore compare to Lakera Guard?

Short answer: Lakera Guard and EarlyCore solve different parts of the AI security problem. Lakera Guard is a runtime guardrail API at the model boundary. It detects prompt injection, jailbreaks, indirect injection, PII leakage, content violations, and malicious links in real time. EarlyCore is broader: it red-teams AI agents before production, monitors them at runtime, and turns findings into auditor-ready evidence mapped to DORA, NIS2, the EU AI Act, and GDPR.

At a glance

Area	Lakera Guard	EarlyCore
Core layer	Input/output guardrail at the boundary	Pre-production red team + runtime monitoring + compliance evidence
Main focus	Stop bad prompts and unsafe outputs in real time	Find agentic risk before launch, catch it in production, and document it for audit
Detection style	Scores individual exchanges at the model edge	Correlates findings across agent, tool, cloud, and data layers
Threat intelligence	Built from Lakera’s Gandalf game, with 80M+ injection attempts	Grounded in the customer’s own agents and workflows
Data residency	Not specified in the retrieved material	Hosted on OVHcloud France, with zero-retention options
Delivery model	Productized security API; now part of Check Point after Nov 2025 acquisition	Sold through MSSPs, with full white-label and co-branded reports

Where Lakera Guard fits

Lakera Guard is strong when your goal is boundary protection. It sits in front of the model and filters dangerous inputs and outputs as they happen. That makes it a good fit for teams that want a fast runtime control against common abuse patterns like jailbreaks, prompt injection, and malicious links.

The product’s positioning is narrow on purpose: it is an input/output guardrail, not a full lifecycle security platform. According to the retrieved material, Lakera’s threat intel comes from the Gandalf game, which has seen 80M+ injection attempts. That gives it a large corpus for detection tuning.

Lakera was also acquired by Check Point in November 2025, and is now the foundation of Check Point’s Global Center of Excellence for AI Security. So if you are comparing vendors, it is now part of a larger security portfolio rather than a standalone startup story.

Where EarlyCore goes further

EarlyCore covers the parts Lakera does not: pre-production testing, runtime monitoring, and compliance evidence.

Before production, EarlyCore runs a configurable red team using 21 scanners on the public site, built on the open-source Promptfoo red-team framework. It targets the OWASP agentic attack surface, including:

• prompt injection and indirect prompt injection
• data and PII leakage from connected stores
• agent hijacking
• SSRF attacks

At runtime, EarlyCore does not rely on an inline proxy. It uses non-invasive, asynchronous observation with zero latency impact and zero inline infrastructure footprint. The platform also correlates findings across layers — agent, tool, cloud, and data — instead of treating each exchange as an isolated event.

That distinction matters. A boundary guardrail tells you a prompt was risky. EarlyCore tells you how the risk moves through the system and what to fix before it becomes a production incident.

Runtime, sovereignty, and the practical details

EarlyCore is built for European deployments. It is hosted on OVHcloud in France, with zero-retention options available. That is a meaningful control if your team is dealing with data residency requirements, regulated workloads, or customer contracts that are sensitive to where data is processed.

Coverage is not limited to one AI stack. The runtime layer spans multiple platforms, including Amazon Bedrock, SageMaker, and Google Gemini. That matters for practitioners who are already running mixed environments and do not want a one-off security tool for each model provider.

The monitoring layer also looks at live agent traffic for things like injected instructions and PII about to leave the boundary. So the operational question is not only “Was the prompt malicious?” but also “Did the agent behave in a way that creates exposure?”

Channel model and MSSP economics

EarlyCore is sold through managed security service providers, not direct to end customers. That changes the buying model and the economics.

For partners, the platform includes:

• full white-label and co-branding
• co-branded compliance reports
• named technical support
• per-agent, tier-based pricing
• partner margins structured at approximately 3x typical endpoint/SIEM resale rates
  • exact figures live in the partner pack

That is a different motion from a boundary API sold as a point product. EarlyCore is designed so an MSSP can package AI security as a recurring service, attach reporting, and keep more margin than with traditional endpoint or SIEM resale.

If you are building a managed offer, that matters as much as the detection engine.

Which one should you choose?

Choose Lakera Guard if you need:

• a runtime guardrail at the model boundary
• fast detection of prompt injection and unsafe outputs
• a focused API-level control for a specific AI workflow

Choose EarlyCore if you need:

• pre-production red teaming for AI agents
• runtime monitoring without inline latency
• cross-layer correlation across agent, tool, cloud, and data
• audit-ready evidence mapped to DORA, NIS2, the EU AI Act, and GDPR
• EU-hosted data residency
• a white-label model for MSSPs

If your program needs both boundary filtering and lifecycle assurance, the products sit at different layers. Lakera is about stopping bad exchanges. EarlyCore is about proving the agent is safe enough to run, then continuously documenting what happens after launch.

Bottom line

Lakera Guard is a strong AI boundary defense. EarlyCore is a broader AI security and compliance platform for the European market, built for teams and MSSPs that need pre-production testing, live monitoring, data sovereignty, and audit evidence in one workflow.

If your question is “which one is better,” the real answer is: it depends on which layer you need to control. If you only need runtime filtering, Lakera fits well. If you need lifecycle coverage and regulatory evidence, EarlyCore is the stronger match.

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