Enkrypt AI vs HiddenLayer AISec Platform 2.0
Enkrypt AI vs HiddenLayer AISec Platform 2.0: side-by-side comparison of two memory governance, privacy & safety systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Enkrypt AI · HiddenLayer AISec Platform 2.0
Where they differ (8)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Enkrypt AI | HiddenLayer AISec Platform 2.0 | |
|---|---|---|
| Type | Three-point RAG / memory pipeline guardrails | Model Genealogy + AIBOM (supply-chain layer) |
| Created | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) | 2022-03 (founded March 2022; emerged from stealth July 2022 with $6M seed; Series A $50M Sep 2023) |
| Pricing | free starter + pay-as-you-go; Enterprise: contact sales | enterprise pricing; contact sales; no public pricing |
| Funding | $2M Seed · 2024-02 | $56M total ($6M seed Ten Eleven Ventures Jul 2022; $50M Series A M12+Moore Strategic Sep 2023) |
| Deployment | REST API SaaS (cloud-hosted); no self-host option confirmed | SaaS cloud or on-prem enterprise; agentless; no weights or training data access needed |
| MCP | Yes — MCP Hub: vulnerability scanning for MCP (Model Context Protocol) servers; source-based + hosted scans; MCP Registry | Yes — Agentic and MCP Security use-case (Use case 04); protects agents and MCP-based systems from prompt injection / unsafe tool use |
| A2A | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised | no data — searched hiddenlayer.com, hiddenlayer.com/platform, docs.hiddenlayer.com; A2A protocol not advertised |
| OpenTelemetry | no data — searched enkryptai.com, docs.enkryptai.com; OpenTelemetry export not advertised | no data — searched hiddenlayer.com/platform, docs.hiddenlayer.com; OpenTelemetry export not advertised |
At a glance
| Enkrypt AI | HiddenLayer AISec Platform 2.0 | |
|---|---|---|
| Section | Memory governance, privacy & safety | Memory governance, privacy & safety |
| Tier | T1 | T1 |
| Type | Three-point RAG / memory pipeline guardrails | Model Genealogy + AIBOM (supply-chain layer) |
| Created | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) | 2022-03 (founded March 2022; emerged from stealth July 2022 with $6M seed; Series A $50M Sep 2023) |
| Pricing | free starter + pay-as-you-go; Enterprise: contact sales | enterprise pricing; contact sales; no public pricing |
| Funding | $2M Seed · 2024-02 | $56M total ($6M seed Ten Eleven Ventures Jul 2022; $50M Series A M12+Moore Strategic Sep 2023) |
| Backend storage | custom | custom |
| Deployment | REST API SaaS (cloud-hosted); no self-host option confirmed | SaaS cloud or on-prem enterprise; agentless; no weights or training data access needed |
| API surface | REST (typical SaaS REST + first-party SDK pattern; see vendor docs for language coverage) | REST (typical SaaS REST + first-party SDK pattern; see vendor docs for language coverage) |
| Embedding | locked | locked |
| Multi-tenancy | hard-isolation | hard-isolation |
| MCP | Yes — MCP Hub: vulnerability scanning for MCP (Model Context Protocol) servers; source-based + hosted scans; MCP Registry | Yes — Agentic and MCP Security use-case (Use case 04); protects agents and MCP-based systems from prompt injection / unsafe tool use |
| A2A | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised | no data — searched hiddenlayer.com, hiddenlayer.com/platform, docs.hiddenlayer.com; A2A protocol not advertised |
| OpenTelemetry | no data — searched enkryptai.com, docs.enkryptai.com; OpenTelemetry export not advertised | no data — searched hiddenlayer.com/platform, docs.hiddenlayer.com; OpenTelemetry export not advertised |
| Optimised for | governance + compliance + audit + adversarial hardening | governance + compliance + audit + adversarial hardening |
| Anti-fit | not for hobbyist / non-production use cases | not for hobbyist / non-production use cases |
Taxonomy
| Axis | Enkrypt AI | HiddenLayer AISec Platform 2.0 |
|---|---|---|
| storage | n/a | n/a |
| retrieval | injection | n/a |
| persistence | session | long-term |
| update | read-only | read-only |
| unit | policy | model |
| 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.
HiddenLayer AISec Platform 2.0
Pros: Strong on adversarial ML threats (model evasion, training-data poisoning) extending into memory poisoning at runtime.
Cons: Broad ML-security positioning means memory specifically isn't the focus; pricing is enterprise-tier.