Enkrypt AI vs Lakera Guard / Lakera Red
Enkrypt AI vs Lakera Guard / Lakera Red: side-by-side comparison of two memory governance, privacy & safety systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Where they differ (9)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Enkrypt AI | Lakera Guard / Lakera Red | |
|---|---|---|
| Type | Three-point RAG / memory pipeline guardrails | Real-time prompt-injection + poisoning screen |
| Created | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) | 2021 (founded 2021; Lakera Guard product launched Aug 2023; $10M seed 2023; $20M Series A Jul 2024) |
| Pricing | Explore free; Launch $149/mo ($134/mo annual); Scale $1,499/mo ($1,349/mo annual); Enterprise custom | Developer: free (10K API calls/mo); Pro: contact sales (higher volume + advanced detection) |
| Funding | Acquired by Anaconda (2026-08-04; terms undisclosed); prior total $2.35M (Seed led by Boldcap, 2024-02-27) | acquired by Check Point Software (completed 2025-11; terms undisclosed officially, ~$300M reported) |
| Deployment | SaaS for self-serve tiers; Enterprise offers VPC / on-prem deployment | REST API (SaaS cloud) or self-hosted Enterprise deployment |
| API surface | REST (typical SaaS REST + first-party SDK pattern; see vendor docs for language coverage) | REST, SDK: Python, JS |
| MCP | yes — MCP server scanning (Launch tier) and MCP Gateway + Registry (Scale/Enterprise) | no data — MCP referenced in Lakera blog as a threat-research topic only; no native MCP integration advertised (searched lakera.ai, docs.lakera.ai, lakera.ai/blog) |
| A2A | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised | no data — searched lakera.ai/lakera-guard, docs.lakera.ai, docs.lakera.ai/lakera-guard/integrations; A2A protocol not advertised |
| OpenTelemetry | no data — searched enkryptai.com, docs.enkryptai.com; OpenTelemetry export not advertised | no data — searched lakera.ai/lakera-guard, docs.lakera.ai; OpenTelemetry export not advertised |
At a glance
| Enkrypt AI | Lakera Guard / Lakera Red | |
|---|---|---|
| Section | Memory governance, privacy & safety | Memory governance, privacy & safety |
| Tier | T1 | T1 |
| Type | Three-point RAG / memory pipeline guardrails ↗ vendor | Real-time prompt-injection + poisoning screen ↗ vendor |
| Created | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) ↗ third-party | 2021 (founded 2021; Lakera Guard product launched Aug 2023; $10M seed 2023; $20M Series A Jul 2024) ↗ third-party |
| Pricing | Explore free; Launch $149/mo ($134/mo annual); Scale $1,499/mo ($1,349/mo annual); Enterprise custom ↗ vendor | Developer: free (10K API calls/mo); Pro: contact sales (higher volume + advanced detection) ↗ vendor |
| Funding | Acquired by Anaconda (2026-08-04; terms undisclosed); prior total $2.35M (Seed led by Boldcap, 2024-02-27) ↗ third-party | acquired by Check Point Software (completed 2025-11; terms undisclosed officially, ~$300M reported) ↗ third-party |
| Backend storage | custom ↗ vendor | custom ↗ vendor |
| Deployment | SaaS for self-serve tiers; Enterprise offers VPC / on-prem deployment ↗ vendor | REST API (SaaS cloud) or self-hosted Enterprise deployment ↗ vendor |
| API surface | REST (typical SaaS REST + first-party SDK pattern; see vendor docs for language coverage) ↗ vendor | REST, SDK: Python, JS ↗ vendor |
| Embedding | locked ↗ vendor | locked ↗ vendor |
| Multi-tenancy | hard-isolation ↗ vendor | hard-isolation ↗ vendor |
| MCP | yes — MCP server scanning (Launch tier) and MCP Gateway + Registry (Scale/Enterprise) ↗ vendor | no data — MCP referenced in Lakera blog as a threat-research topic only; no native MCP integration advertised (searched lakera.ai, docs.lakera.ai, lakera.ai/blog) |
| A2A | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised | no data — searched lakera.ai/lakera-guard, docs.lakera.ai, docs.lakera.ai/lakera-guard/integrations; A2A protocol not advertised |
| OpenTelemetry | no data — searched enkryptai.com, docs.enkryptai.com; OpenTelemetry export not advertised | no data — searched lakera.ai/lakera-guard, docs.lakera.ai; OpenTelemetry export not advertised |
| Optimised for | governance + compliance + audit + adversarial hardening ↗ vendor | governance + compliance + audit + adversarial hardening ↗ vendor |
| Anti-fit | not for hobbyist / non-production use cases ↗ vendor | not for hobbyist / non-production use cases ↗ vendor |
Taxonomy
| Axis | Enkrypt AI | Lakera Guard / Lakera Red |
|---|---|---|
| storage | n/a | proprietary |
| retrieval | injection | injection |
| persistence | session | session |
| update | read-only | read-only |
| unit | policy | attack |
| governance | auditable | auditable |
| conflict | n/a | n/a |
Pros & cons
Enkrypt AI
Pros: Comprehensive AI security product covering training data, model, and runtime — broader than memory but addresses memory-specific threats too.
Cons: Memory is one of many concerns; less depth on memory-injection attacks than Lakera.
Lakera Guard / Lakera Red
Pros: Memory-aware guardrail product — Guard for runtime + Red for adversarial testing; covers prompt-injection-into-memory specifically.
Cons: Closed SaaS; rule library is opaque; per-call cost can be meaningful at high volume.