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Sybill.Ai
Sybill.Ai
Full AI risk report

Covering 26+ risk vectors mapped to the OWASP LLM Top 10, NIST AI RMF, and more.

Sybill: Uses AI to record and analyze sales interactions and generate Pre-meeting Briefs, Magic Summaries and Deal Summaries, Personalized Emails, and CRM Autofill; provides a natural-language chat assistant (Ask Sybill), agent-driven AI Tasks, and Deal Workspace, Deal Pipeline, Deal Inspection, Personal Coach, and AI Workflows features.

PromptArmor is trusted across the Fortune 50 and AmLaw 50

Global 2000
Software Company
Fortune 50
Healthcare Company
Top 10
Law Firm
Fortune 50
Technology Company
Fortune 100
Manufacturing Company
Top 20
Law Firm
Cloud 100
Technology Company
Am Law 100
Law Firm
Global 2000
Software Company
Fortune 50
Healthcare Company
Top 10
Law Firm
Fortune 50
Technology Company
Fortune 100
Manufacturing Company
Top 20
Law Firm
Cloud 100
Technology Company
Am Law 100
Law Firm

How do you protect your data when using Sybill.Ai?

Sybill.Ai Feature and Pricing Detail

Feature Details

Sybill
Uses AI to record and analyze sales interactions and generate Pre-meeting Briefs, Magic Summaries and Deal Summaries, Personalized Emails, and CRM Autofill; provides a natural-language chat assistant (Ask Sybill), agent-driven AI Tasks, and Deal Workspace, Deal Pipeline, Deal Inspection, Personal Coach, and AI Workflows features.

Pricing Details

Freemium
Offers free tiers.
Per License
Charges per user, org, or access point.
Consumption-Based
Pay per token, API call, inference, etc.
Outcome-Based
Pay only when certain results or performance goals are achieved.
01

Are you spending time figuring out what Sybill.Ai even does?

02

Is the business asking you to review the AI risk in Sybill.Ai

03

Do you know when Sybill.Ai is updating its AI features?

Why is AI risk important?

13%

of enterprises have suffered an AI-related security breach in the last year, including AI-generated phishing and malicious prompt injection.

$4.4M

average cost per incident, with indirect prompt injection and data leakage via LLMs now among the top attack vectors across industries.

Here are some facts about Sybill.Ai

#1

Sybill.ai was founded in August 2020 by a team from Stanford, MIT, and various IITs, focusing on building an AI engine that provides real-time insights into attendee engagement and agreement during video calls, primarily targeting sales teams.

#2

The company rapidly grew its annual recurring revenue (ARR) from $100,000 to $1 million within nine months in 2023, largely driven by customer referrals and users bringing the product to new companies, and has secured over 500 paying customers across more than 30 countries.

#3

Sybill raised $11 million in a Series A funding round led by Greycroft, bringing its total funding to approximately $14.5 million, and plans to use this capital to further develop its AI assistant and expand its team from 30 to around 40 employees by the end of the year.

Unlock the Full AI Risk Report

A comprehensive view of Sybill.Ai's AI risk, covering 26 risk vectors mapped to OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS, and more.

FAQ

What are the new AI security risks?

Indirect prompt injection, data exfiltration through connected tools, and sensitive information disclosure are the most common, and they map to the OWASP LLM Top 10 and MITRE ATLAS.

What industries do you specialize in?

PromptArmor works across the Fortune 50 and AmLaw 50, with depth in legal, financial services, healthcare, and technology.

How do I see how a vendor maps to the OWASP for LLM Top 10?

Request the full risk report. Each vendor is scored against every OWASP LLM Top 10 category, plus NIST AI RMF and MITRE ATLAS.

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