Acuvity (now Proofpoint) vs Enkrypt AI
Acuvity (now Proofpoint) vs Enkrypt AI: side-by-side comparison of two memory governance, privacy & safety systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Where they differ (8)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| Acuvity (now Proofpoint) | Enkrypt AI | |
|---|---|---|
| Type | MCP / Shadow-AI runtime enforcement | Three-point RAG / memory pipeline guardrails |
| Created | 2023 (founded by cybersecurity veterans; acquired by Proofpoint Feb 12 2026) | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) |
| Pricing | enterprise pricing via Proofpoint (not public); contact sales | Explore free; Launch $149/mo ($134/mo annual); Scale $1,499/mo ($1,349/mo annual); Enterprise custom |
| Funding | total $9M (Seed led by Foundation Capital, 2024-09); acquired by Proofpoint 2026-02-12, terms undisclosed | Acquired by Anaconda (2026-08-04; terms undisclosed); prior total $2.35M (Seed led by Boldcap, 2024-02-27) |
| Deployment | on-prem or cloud (Proofpoint enterprise deployment); agentless approach | SaaS for self-serve tiers; Enterprise offers VPC / on-prem deployment |
| MCP | Yes — Secure MCP servers (Model Context Protocol) is a core capability; protects MCP-based agent integrations | yes — MCP server scanning (Launch tier) and MCP Gateway + Registry (Scale/Enterprise) |
| A2A | no data — searched proofpoint.com/us/platform/ai-security, acuvity.ai/, acuvity.ai/integrations/, acuvity.ai/blog/; A2A protocol not advertised | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised |
| OpenTelemetry | no data — searched acuvity.ai, proofpoint.com/us/platform/ai-security, docs.acuvity.ai; OpenTelemetry export not advertised | no data — searched enkryptai.com, docs.enkryptai.com; OpenTelemetry export not advertised |
At a glance
| Acuvity (now Proofpoint) | Enkrypt AI | |
|---|---|---|
| Section | Memory governance, privacy & safety | Memory governance, privacy & safety |
| Tier | T1 | T1 |
| Type | MCP / Shadow-AI runtime enforcement | Three-point RAG / memory pipeline guardrails |
| Created | 2023 (founded by cybersecurity veterans; acquired by Proofpoint Feb 12 2026) | 2022 (founded 2022 by Sahil Agarwal and Prashanth Harshangi; Yale PhDs) |
| Pricing | enterprise pricing via Proofpoint (not public); contact sales | Explore free; Launch $149/mo ($134/mo annual); Scale $1,499/mo ($1,349/mo annual); Enterprise custom |
| Funding | total $9M (Seed led by Foundation Capital, 2024-09); acquired by Proofpoint 2026-02-12, terms undisclosed | Acquired by Anaconda (2026-08-04; terms undisclosed); prior total $2.35M (Seed led by Boldcap, 2024-02-27) |
| Backend storage | custom | custom |
| Deployment | on-prem or cloud (Proofpoint enterprise deployment); agentless approach | SaaS for self-serve tiers; Enterprise offers VPC / on-prem deployment |
| 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 — Secure MCP servers (Model Context Protocol) is a core capability; protects MCP-based agent integrations | yes — MCP server scanning (Launch tier) and MCP Gateway + Registry (Scale/Enterprise) |
| A2A | no data — searched proofpoint.com/us/platform/ai-security, acuvity.ai/, acuvity.ai/integrations/, acuvity.ai/blog/; A2A protocol not advertised | no data — searched enkryptai.com, enkryptai.com/platform/capabilities/ai-risk-removal, docs.enkryptai.com; A2A protocol not advertised |
| OpenTelemetry | no data — searched acuvity.ai, proofpoint.com/us/platform/ai-security, docs.acuvity.ai; OpenTelemetry export not advertised | no data — searched enkryptai.com, docs.enkryptai.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 | Acuvity (now Proofpoint) | Enkrypt AI |
|---|---|---|
| storage | n/a | n/a |
| retrieval | agentic | injection |
| persistence | session | session |
| update | read-only | read-only |
| unit | prompt | policy |
| governance | auditable | auditable |
| conflict | n/a | n/a |
Pros & cons
Acuvity (now Proofpoint)
Pros: Enterprise DLP for AI products — protects against data exfiltration via memory writes/reads; backed by Proofpoint's enterprise channel.
Cons: Enterprise-tier pricing and complexity; smaller mind-share than Lakera or Microsoft Defender for AI.
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.