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Enkrypt AI

LLM Agents & RAG · AI Ethics & Governance · Document AIBoston, United States

Enkrypt AI is based in Boston, Massachusetts and works in AI Agents for Insurance, with further work in AI Ethics & Governance and Document AI.

Average rating
—
Reviews
0
Profile coverage
80%
Evidence percentile
P75

Profile updated · Request a correction

Company & commercials

Primary category
LLM Agents & RAG
Team size
Not disclosed
Typical budget
Not disclosed
Primary industry
Financial Services & Insurance
Contact provider →Visit website ↗
Overview

What Enkrypt AI does best.

About

LLM Agents & RAG provider for Financial Services & Insurance

A cybersecurity firm focused on the "AI Safety-as-a-Service" model, protecting enterprise generative AI applications from security and compliance risks. Its own website shows its strongest capability in AI Agents within LLM Agents & RAG, alongside Retrieval-Augmented Generation and Large Language Models. The industry it describes most is Insurance.

Service model·Service
Primary AI categoryLLM Agents & RAG
Benchmarked against 1,860 providers in this category.
Primary industryFinancial Services & Insurance
Technology stack

4 platforms & methods

Bars show how many mapped capabilities use each one.

  • Generative AI1 capability
  • MCPProfile only
  • Multimodal AIProfile only
  • AI Security AgentsProfile only
RankGlobal provider intelligence

Evidence report

How Enkrypt AI compares with peers on evidence, reviews and coverage.

Analyst brief · Published
CategoryLLM Agents & RAG
Compared with1,860 providers
Signals3 signals
Status● Published
Evidence score
71/100
Moderate evidence75th percentile of 1,860 peers · peer median 70
Profile coverage80
Taxonomy density100
Review signal0
Peer benchmarkHow the profile comparesLLM Agents & RAG among 1,860 published providers
Average rating0.00 · median 4.89
Independent reviews0 · median 0
Profile completeness80% · median 70%
Taxonomy breadth22 · median 20
This profile Peer median
Signal radarMulti-dimensional evidence
Independent reviewsCoverageBreadth
This profile (percentile) Peer median
Industries4 industries
Legal, Risk & Compliance40%
Financial Services & Insurance20%
Professional & Business Services20%
Retail, Wholesale & Consumer Goods20%
Share of mapped industries, not share of work or revenue.
Evidence mixMapping grades
91%Direct · 20 mappings
9%Supported · 2 mappings
Grades across 22 mappings. Not a search ranking.
Analyst summary

What the evidence says

Enkrypt AI presents as a moderate evidence profile for LLM Agents & RAG. It ranks in the 75th percentile of 1,860 published providers in LLM Agents & RAG, and no reviews on the profile yet.

Current positioning: P75 evidence quality · P54 industry breadth
Strongest signalsEvidence-backed strength in LLM Agents & RAG is the profile's clearest signal in the mapped taxonomy.
Best user fitFinancial Services & Insurance buyers evaluating LLM Agents & RAG across engagement sizes.
Confirm before engagementConfirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
How this report is calculated →
Capabilities

AI capabilities.

AI category · 1 / 12

AI Ethics & Governance

—
DirectSupportedRelatedAdjacentOne of 934 providers in this category
Compare AI Ethics & Governance providers →
Technology used

None of the listed technologies is specific to AI Ethics & Governance.

Mapping source · https://www.enkryptai.com/solutions/customer-facing-agents — “Secure Customer-Facing Agents | Enkrypt AI Compliance & Release ● New Enkrypt AI Joins Anaconda 🌟 - Learn More Platform Ag”

1 client review mentions this
“By integrating Enkrypt AI's generative AI risk capabilities and advanced guardrails, we've significantly strengthened our CASB offerings—empowering customers with real-time visibility and control over AI-driven LLM focused risks.”
Thyaga Vasudevan, EVP, Product
Matched from the review text by RankGlobal; analysts can correct any match.

Featured 12 of 17 capabilities, ranked by mapping grade then confidence.

Industry experience · 4 industries · 5 subindustries

Industries served.

3 Core1 Adjacent · discovery only
  • InsuranceDirect · Primary
    90%

    https://www.enkryptai.com/ — “e and compliant answers to our customers." Head of AI Deployment Insurance Services Company Securing agent interactions and tool usage "Sec”

Client feedback

What clients say.

Testimonial
AI Ethics & GovernanceLLM Agents & RAG
By integrating Enkrypt AI's generative AI risk capabilities and advanced guardrails, we've significantly strengthened our CASB offerings—empowering customers with real-time visibility and control over AI-driven LLM focused risks.
TVThyaga Vasudevan, EVP, ProductSkyhigh SecurityFrom the firm’s website1 / 4
4 reviews

Worked with Enkrypt AI? Review them → Every reviewer is verified by RankGlobal.

Methodology

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research — a mapping grade is not a claim of discoverability weight.

  1. T1AuthoritativeTypical evidenceRegulators, registries, certifications, signed client evidence.Scoring useHighest evidentiary weight
  2. T2IndependentTypical evidenceCredible media, industry bodies, partner directories, third-party datasets.Scoring useStrong with attribution and recency
  3. T3Provider-controlledTypical evidenceCompany site, case studies, press releases, structured submissions.Scoring useAccepted as a claim; verification raises weight
  4. T4Discovery-onlyTypical evidenceDirectory listings, aggregations, and early discovery signals.Scoring useUsed for discovery; weighted accordingly in ranking
Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.RankGlobal trust center →
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Before you reach outKey facts, and three things to confirm once you're in touch.
Primary category
LLM Agents & RAG
Primary industry
Financial Services & Insurance
Typical budget
Not disclosed
Team size
Not disclosed
  1. 1Name the use caseSay which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.
  2. 2Pressure-test the budget bandNo budget band is on file. Ask what a scope like yours typically lands at.
  3. 3Ask for a referenceRequest a client reference in Financial Services & Insurance — the strongest industry signal on this profile.
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