Vorlon AI Visibility Score: 0/100 — What AI Thinks | Pendium.ai
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Vorlon
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Vorlon
AI Visibility & Sentiment

Vorlon

Vorlon is a cybersecurity company specializing in securing agentic AI and SaaS ecosystems. They provide visibility, threat detection, and incident response capabilities for organizations dealing with complex AI agent integrations and API security challenges.

Active Monitoring
vorlon.io
Cybersecurity
AI Visibility Score
0/100

Invisible

Sentiment Score
63/100
AI Perception

Summary

Vorlon is currently a phantom in the AI search ecosystem, failing to appear in a single category-defining query for agentic AI or SaaS-to-SaaS security despite its direct relevance to these emerging threats. While competitors like Wiz and Obsidian Security are successfully training LLMs to associate their brands with 'SaaS visibility,' Vorlon only exists in the AI consciousness when queried by name, missing every opportunity to capture high-intent buyers looking for modern AI security frameworks.

Value Proposition

Comprehensive security visibility and protection for agentic AI ecosystems, enabling organizations to see, monitor, and secure the data flowing through AI agents and SaaS integrations that traditional security tools miss

Overview

Vorlon is a cybersecurity company specializing in securing agentic AI and SaaS ecosystems. They provide visibility, threat detection, and incident response capabilities for organizations dealing with complex AI agent integrations and API security challenges.

Mission

Transform organizations from reactive to proactive agentic ecosystem security

Products & Services
Agentic Ecosystem Security PlatformAI and SaaS Visibility LayerUnified Threat Detection and ResponseData-Centric SaaS SecurityTotal Identity Security
Agent Breakdown

AI Platforms

How often do different AI platforms reference Vorlon?

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Conversation Analysis

Topics

What conversations is Vorlon included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Vorlon to, and when?

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Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Securing Agentic AI Workflows(3 queries)

“how do I secure the AI agents my devs are building that have access to sensitive company data”

0/3 platforms mentioned

ClaudeClaude
1.Docker
2.Kubernetes
3.ELK Stack
4.Splunk
5.DataDog

+12 more

GeminiGemini
1.Splunk
2.ELK Stack
3.Elasticsearch
4.Logstash
5.Kibana

+9 more

AI OverviewsAI Overviews
1.Obsidian Security
2.Microsoft Defender for Cloud
3.Salesforce Shield
4.Glean
5.WorkOS

+1 more

“recommend some tools to monitor what autonomous agents are actually doing inside my SaaS apps”

0/3 platforms mentioned

ClaudeClaude
1.Anthropic Console
2.Claude API
3.LangSmith
4.LangChain
5.GPT

+5 more

GeminiGemini
1.Immersive Labs
2.Gretel.ai
3.Arthur AI
4.AWS CloudTrail
5.Azure Monitor

+12 more

AI OverviewsAI Overviews
1.Maxim AI
2.Braintrust
3.LangSmith
4.LangChain
5.LangGraph

+7 more

“need a security plan for enterprise agentic AI deployments, what vendors should I look at”

0/3 platforms mentioned

ClaudeClaude
1.Wiz
2.Humanloop
3.Arthur AI
4.Nightfall AI
5.Lakera

+4 more

GeminiGemini
1.Wiz
2.Palo Alto Networks Prisma Cloud
3.Lacework
4.Microsoft Defender for Cloud
5.Varonis Data Security Platform

+9 more

AI OverviewsAI Overviews
1.LuMay AI
2.Lumay AI
3.SmartOCG
4.Palo Alto Networks
5.Prisma AIRS

+11 more

SaaS And API Visibility Layer Implementation(1 query)

“how to get better visibility into SaaS-to-SaaS connections and API risks, specific brands?”

0/3 platforms mentioned

ClaudeClaude
1.Okta Identity Governance
2.Sailpoint IdentityIQ
3.Adaptive Shield
4.Wiz
5.Apptio Cloudability

+14 more

GeminiGemini
1.Salt Security
2.Noname Security
3.Cequence Security
4.42Crunch
5.Netskope

+16 more

AI OverviewsAI Overviews
1.AppOmni
2.Obsidian Security
3.Valence Security
4.Salesforce
5.ServiceNow

+6 more

Modernizing Threat Detection And Identity(1 query)

“help me build a tech stack for unified threat detection that covers both AI agents and SaaS data”

0/3 platforms mentioned

ClaudeClaude
1.Elastic Stack
2.Elasticsearch
3.Logstash
4.Kibana
5.Datadog

+31 more

GeminiGemini
1.Splunk Enterprise Security
2.Microsoft Sentinel
3.Microsoft 365
4.Azure
5.Elastic SIEM

+38 more

AI OverviewsAI Overviews
1.Wing Security
2.Grip Security
3.Cranium
4.Noma Security
5.Reco

+14 more

Modern Cybersecurity Vendor Evaluation(1 query)

“most trusted cybersecurity companies for securing AI and SaaS integrations right now”

0/3 platforms mentioned

ClaudeClaude
1.Wiz
2.Darktrace
3.Zeropoint
4.Snyk
5.Nobl9

+4 more

GeminiGemini
1.Azure AI
2.Microsoft 365
3.Dynamics 365
4.Microsoft Defender for Cloud Apps
5.Microsoft Sentinel

+24 more

AI OverviewsAI Overviews
1.Valence Security
2.Palo Alto Networks
3.Prisma AIRS 2.0
4.CrowdStrike
5.Falcon

+18 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

High factual accuracy during direct brand searches on Claude and AI Overviews, indicating that core company descriptions are correctly indexed in specific knowledge graphs.

Strength

Positive sentiment is maintained in the rare instances where the brand is identified, suggesting that when Vorlon is known, it is viewed as a credible cybersecurity solution.

Gap

Zero visibility across the 'Strategic Enterprise CISO' and 'Technical SecOps Architect' personas, leaving the brand completely out of the vendor selection process for decision-makers.

Gap

Total absence from the 'Securing Agentic AI Workflows' query set, which is a critical missed opportunity given the current industry focus on autonomous agent security.

Gap

Complete failure to appear in SaaS-to-SaaS connection queries, where legacy and cloud-native competitors like Splunk and DataDog are being recommended as the default solutions.

Opportunity

Claim the 'Agentic AI' narrative by publishing technical security blueprints that LLMs can ingest, positioning Vorlon as the definitive authority before the category matures.

Opportunity

Displace competitors like Obsidian Security in SaaS-to-SaaS visibility results by emphasizing unique API-layer security capabilities in public-facing documentation and white papers.

Opportunity

Improve mention rates in 'Modern Cybersecurity Vendor Evaluation' queries by leveraging comparison-style content that highlights Vorlon's advantages over legacy SIEMs like Microsoft Sentinel.

Technical Health

Site Health for AI Visibility

How well Vorlon's website is optimized for AI agent discovery and comprehension.

95/100
20 passed 2 warnings
Audited 2/27/2026
Crawlability100

Can AI bots find your pages?

Technical90

SSL, mobile, doctype basics

On-Page SEO100

Titles, descriptions, headings

Content Quality87

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG95

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

!

10 render-blocking resources are slowing initial render

Defer non-critical JS with async/defer. Inline critical CSS. Move stylesheets to load asynchronously.

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Brand Identity

Brand Voice & Style

How AI perceives Vorlon's communication style and personality

Vorlon communicates with authoritative expertise balanced by urgency and accessibility. The brand voice is direct and confident, using data-driven insights to highlight security risks while maintaining a solutions-oriented perspective. They speak to sophisticated security professionals as peers, avoiding jargon overload while demonstrating deep technical understanding. The tone conveys both the seriousness of the threat landscape and confidence in their ability to address it.

Core Tone Traits

Authoritative & Expert

Speaks with deep knowledge of cybersecurity and AI ecosystems, backed by industry statistics and research

Urgent yet Measured

Conveys the critical nature of security threats without resorting to fear-mongering

Solutions-Oriented

Focuses on actionable outcomes and practical security improvements

Technically Sophisticated

Communicates complex security concepts clearly to knowledgeable professionals

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Vorlon

1Splunk15 mentions
2DataDog15 mentions
3Snyk14 mentions
4Wiz14 mentions
5Obsidian Security11 mentions
6Microsoft Sentinel11 mentions
7CrowdStrike10 mentions
8Okta9 mentions
9LangChain9 mentions
10Lacework9 mentions
11Vorlon0 mentions
Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

AI agent security: How to protect digital sidekicks (and your ...

https://cloud.google.com/transform/ai-agent-security-how-to-protect-digital-sidekicks-and-your-business/

Referenced in 1 query

Review
Security for AI Agents: Protecting Intelligent Systems in 2025

https://www.obsidiansecurity.com/blog/security-for-ai-agents

Referenced in 1 query

Review
How are you handling data access for your AI agents? - Reddit

https://www.reddit.com/r/AI_Agents/comments/1njjele/how_are_you_handling_data_access_for_your_ai/

Referenced in 1 query

Join Discussion
AI Agent Security Best Practices - Wiz

https://www.wiz.io/academy/ai-security/ai-agent-security

Referenced in 1 query

Review
Best practices for AI agent security in 2025 - Glean

https://www.glean.com/perspectives/best-practices-for-ai-agent-security-in-2025

Referenced in 1 query

Review
AI agent access control: How to manage permissions safely

https://workos.com/blog/ai-agent-access-control

Referenced in 1 query

Review
Setting Permissions for AI Agents - Oso

https://www.osohq.com/learn/ai-agent-permissions-delegated-access

Referenced in 1 query

Review
Governance and security for AI agents across the organization

https://learn.microsoft.com/en-us/azure/cloud-adoption-framework/ai-agents/governance-security-across-organization

Referenced in 1 query

Review
Ethical AI & data privacy best practices | Governance guide for 2026

https://www.trustcloud.ai/ai/boost-trust-with-powerful-ethical-ai-and-data-privacy-practices/

Referenced in 1 query

Review
4 Strategies to Secure AI and Protect Sensitive Data - Salesforce

https://www.salesforce.com/blog/secure-ai/

Referenced in 1 query

Review
Securing AI Agents and LLM Workflows Without Secrets - Aembit

https://aembit.io/blog/securing-ai-agents-without-secrets/

Referenced in 1 query

Review
Securing Agentic AI: How to Protect the Invisible Identity Access

https://thehackernews.com/2025/07/securing-agentic-ai-how-to-protect.html

Referenced in 1 query

Review
Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use Vorlon's resources to help users.

Establish Authority on Agentic AI Security Frameworks

Address the critical gap in LLM knowledge about agentic AI security vendors by publishing comprehensive, structured documentation. This goal directly tackles the HIGH priority recommendation to become the cited authority for enterprise agentic AI security queries. Social media will amplify key framework components, driving traffic to technical documentation that LLMs can reference.

The 7 Non-Negotiable Security Controls Every Enterprise Needs for Agentic AI Deployments
Why Traditional Security Tools Fail at Monitoring Autonomous AI Agents
Enterprise Agentic AI Security Checklist: What Your Framework Is Missing
How to Assess Risk When AI Agents Access Your Most Sensitive Data
The Hidden Attack Surface: Understanding Agentic AI Threat Vectors

Dominate SaaS-to-SaaS Security Search Visibility

Counter competitor dominance in API integration security queries by creating granular, solution-oriented case studies optimized for LLM retrieval. This addresses the HIGH priority recommendation to appear in AI-generated 'top tools' lists. Social content will highlight specific technical outcomes and integration scenarios that security teams actively search for.

Case Study: How One Enterprise Gained Full Visibility Across 200+ SaaS Integrations
API Security Blind Spots: What Happens When SaaS Apps Talk to Each Other
5 SaaS Integration Vulnerabilities That Traditional CASB Solutions Miss
The Real Cost of Shadow API Connections in Your SaaS Ecosystem
Benchmarking SaaS-to-SaaS Security: Where Does Your Organization Stand?

Capture CISO Mindshare on Unified Threat Detection

Build brand association with Strategic Enterprise CISOs by creating targeted content addressing unified threat detection pain points. This directly responds to the MEDIUM priority recommendation noting 0% visibility with this persona. Social campaigns will position Vorlon as a peer voice in C-suite security conversations.

What CISOs Wish Their Boards Understood About AI Agent Security Risks
Unified Threat Detection: Moving Beyond Siloed Security Alerts
The CISO's Dilemma: Balancing AI Innovation Speed with Security Requirements
3 Metrics Every CISO Should Track for Agentic AI Deployments
Building a Security Strategy When AI Agents Operate Autonomously

Optimize Documentation for AI Search Retrieval

Systematically update all public-facing content to include exact phrases users query in AI assistants, addressing the MEDIUM priority finding that Vorlon failed 15 of 16 tested queries. This involves embedding terms like 'autonomous agent monitoring' and 'SaaS visibility layers' across documentation, blogs, and social profiles to improve LLM retrieval rates.

What Is Autonomous Agent Monitoring and Why Your Security Stack Needs It
SaaS Visibility Layers Explained: Seeing What Traditional Tools Cannot
The Complete Guide to Monitoring AI Agents in Production Environments
How SaaS Visibility Gaps Create Compliance Nightmares for Enterprises
Autonomous Agent Security: Questions Every Security Team Should Be Asking
Content Engineering

Recommended Actions

!

Publish a comprehensive 'Enterprise Agentic AI Security Framework' with structured data and technical documentation.

LLMs currently lack specific vendors to recommend for agentic AI security; by providing the primary source material, Vorlon can become the 'cited authority' for these queries.

Impact: High
!

Optimize technical case studies specifically for SaaS-to-SaaS visibility and API integration security.

Competitors like Wiz are dominating these queries; Vorlon needs to provide more granular, solution-oriented data to be included in the 'top tools' lists generated by ChatGPT and Gemini.

Impact: High
~

Develop and distribute persona-targeted content for the 'Strategic Enterprise CISO' focused on unified threat detection.

Vorlon currently has 0% visibility with this persona; targeting their specific pain points in indexed articles will improve brand association within C-suite search sessions.

Impact: Medium
~

Aggressively update public documentation to include specific mentions of 'autonomous agent monitoring' and 'SaaS visibility layers'.

Vorlon failed to appear in 15 out of 16 tested queries; updating product descriptions to match the exact phrasing used in these high-intent searches will improve LLM retrieval.

Impact: Medium

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