Vorlon

Vorlon is a security gateway for the AI supply chain that monitors and controls data flow between your internal systems and third-party AI services.

Excellent for security teams needing visibility into third-party AI agent behavior, weaker for organizations only using internal, self-hosted models.

Cybersecurity Ai Governance Compliance Api Security Llm Observability

Analysis based on product data, pricing structure, traffic signals, and public user sentiment.

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Who Should Use Vorlon?

Typical users

Security operations (SecOps) teams and engineering leads at mid-market to enterprise companies integrating multiple external AI APIs.

Maturity fit

scaling

Choose this if…

You use multiple third-party AI agents and need a centralized audit log
Your priority is preventing PII or secrets from reaching external LLM providers
You need to enforce compliance policies across developer-integrated AI tools

Skip this if…

You only use local, air-gapped LLMs where data never leaves your infrastructure
You are a solo developer looking for a simple prompt engineering tool
Your security needs are limited to basic web filtering rather than deep API inspection

About Vorlon

Vorlon is an AI security platform focused on the 'AI supply chain.' It acts as a protective layer between an organization's data and the third-party AI services or agents developers integrate into their workflows.

Official profiles

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What it actually does

The platform provides a dashboard for real-time visibility into every AI request and response. It automatically detects sensitive data leakage, identifies malicious activity from compromised AI agents, and allows teams to set granular access policies for different AI providers.

What makes it different

Unlike general Cloud Access Security Brokers (CASBs), Vorlon is built specifically for the non-deterministic nature of AI. It focuses on the 'shadow AI' problem—where developers connect third-party agents to internal data—by providing deep inspection of the API traffic rather than just blocking the URL.

Real-time AI traffic monitoring Automated PII and secret redaction Third-party AI agent risk scoring Policy-based request blocking Detailed audit trails for compliance Integration with existing SIEM/SOAR tools

Key Features

AI Discovery

Automatically maps all third-party AI services currently in use across the organization.

Data Leakage Prevention (DLP)

Scans prompts for sensitive information like API keys or customer data before they reach the LLM.

Agent Behavioral Analysis

Monitors third-party agents for unusual patterns that might indicate a compromised service.

One-Click Remediation

Allows security teams to revoke access to specific AI services instantly if a threat is detected.

Compliance Mapping

Aligns AI usage data with frameworks like SOC2 or ISO 27001.

Developer Proxy

Provides a secure endpoint for developers to route AI calls through without changing their code logic.

Pricing

Popular

Contact Sales

Custom

Full AI visibility and discovery
Real-time threat detection
Data leakage prevention
Enterprise SIEM integrations
Custom policy engine

Pricing checked 4 months ago

Pricing guidance

Best plan for most users: The custom enterprise plan is currently the only path, making it best for organizations with established security budgets.

Free plan enough? No — there is no publicly available free tier; the tool is designed for corporate-wide deployment.

Upgrade when:

When moving from AI experimentation to production
When internal audit requirements demand AI usage logs
When the number of third-party AI integrations exceeds what can be manually tracked

Watch out for:

Throughput limits may apply based on the custom contract
Specific third-party agent support may vary by version

Premium enterprise positioning aimed at high-compliance industries.

Pros & Cons

Strengths

Centralized visibility of 'Shadow AI'
It uncovers AI tools being used by employees that haven't been vetted by IT, reducing the risk of unmanaged data exposure.
Granular data control
The ability to redact specific data types (like credit card numbers) while allowing the rest of the prompt to pass through keeps AI tools functional but safe.
Low friction for developers
By acting as a proxy or integration layer, it doesn't require developers to rewrite their entire AI implementation to stay compliant.

Weaknesses

Latency overhead
As an intermediary layer inspecting traffic, it can introduce minor delays in AI response times, which might affect real-time applications.

Affects: Teams building high-speed, user-facing chat interfaces
Enterprise-heavy focus
The feature set and sales-led motion are overkill for small startups with simple AI needs.

Affects: Early-stage startups and solo founders
Opaque pricing
Lack of public pricing makes it difficult for teams to evaluate the cost-to-value ratio without a lengthy sales cycle.

Affects: Budget-conscious procurement teams

Real User Sentiment

Generally positive among security professionals who view it as a necessary 'firewall' for the AI era.

Users tend to like

Ease of integration with existing workflows
Clarity of the dashboard
Effectiveness of the PII redaction

Users commonly complain about

Lack of self-serve onboarding
Limited documentation for niche AI providers

Recurring tradeoffs

Users trade a small amount of performance (latency) for significantly higher security and visibility.

Happiest users

CISO and Security Architects at mid-sized tech companies.

Often frustrated

Developers who want to move fast without any middle-layer inspection.

Use Cases

Preventing developers from accidentally sending proprietary code to OpenAI

Auditing how third-party AI agents interact with internal customer databases

Ensuring AI integrations comply with HIPAA or GDPR data residency rules

Detecting if a third-party AI service has been compromised and is sending malicious payloads

Consolidating AI usage metrics across different departments for cost and risk management

Frequently Asked Questions

How much does Vorlon cost?

Vorlon does not publish its pricing online. It follows an enterprise sales model where pricing is customized based on the volume of AI traffic, the number of integrations, and the size of the organization. You must book a demo to get a quote.

How does Vorlon compare to Prompt Security or Lakera?

While all three focus on AI security, Vorlon places a heavier emphasis on the 'supply chain' and third-party agent monitoring. Lakera is often more focused on prompt injection defense for developers, while Vorlon is built more for the security team to oversee all company-wide AI activity.

Does Vorlon add latency to AI responses?

Yes, because Vorlon acts as a proxy that inspects traffic in real-time, it adds a marginal amount of latency. However, it is designed to minimize this impact through optimized inspection engines, and for most enterprise use cases, the delay is negligible compared to the LLM's processing time.

Can Vorlon block specific users from using certain AI tools?

Yes, Vorlon allows you to set granular policies based on user identity or department, enabling you to restrict access to specific AI services or limit the types of data certain groups can send to those services.

What integrations does Vorlon support?

Vorlon supports major AI providers like OpenAI, Anthropic, and Google Vertex AI, as well as various third-party AI agents. On the security side, it integrates with SIEM platforms like Splunk and Datadog to funnel security alerts into your existing stack.

Is there a free trial available?

There is no self-service free trial. Interested companies typically undergo a guided Proof of Concept (PoC) after an initial discovery call with their sales team.

Why trust this page?

This evaluation combines product positioning, pricing analysis, traffic and market signals, and public user sentiment into a single decision-support page. Content is generated editorially — not copied from the vendor's website.

Funding & Company

Founded

2022

Stage

Series a

Total Raised

$15.7M

Latest Round

Series A (Apr 2024)

Notable Investors

Accel Shield Capital

Vorlon has raised a total of $15.7 million, primarily from a Series A round in April 2024 led by Accel. This funding is aimed at expanding its business operations and developing its platform for securing third-party AI and API integrations.

Full funding report medium confidence

Market Signals & Traffic

Estimated visits, global rank, geography, traffic sources, monthly visit trends, and organic search keywords (Similarweb)—on a dedicated page built for depth and search.

Estimated visits: 6,722
Global rank: #2,530,985
Snapshot: Apr 2026
Traffic trend: Surging