Airlock VS ShadowLock

Compare Airlock VS ShadowLock and see what are their differences

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Airlock

Monitor, audit, and intercept every agent action.

ShadowLock

Detect and block unauthorized AI use before sensitive data leaks

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2026-06-25

ShadowLock is a shadow AI detection and governance platform that gives MSPs and IT teams real-time visibility and control over how employees use AI tools, before sensitive data leaves the endpoint. It covers the blind spots managed-device controls miss: browser extensions, desktop AI apps, local LLMs like Ollama, and personal accounts. A browser extension intercepts and classifies risky pastes to AI sites, a Windows agent blocks desktop AI apps and deploys silently via your existing RMM, and a multi-tenant dashboard lets you audit or block each control with audit-ready reports. Built for MSPs to govern AI across every client from one place, and private by design with no keystroke logging and zero content transmission.

Airlock

Website: air-lock.ai
Pricing URL: Official Airlock Pricing
Release Date: -

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ShadowLock

Website: shadowlock.io
Pricing URL: Official ShadowLock Pricing
Release Date: 2026 June
Startup details
Country: United States

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Airlock features and specs

AI Security Focus
Airlock specializes in securing AI applications, addressing a growing and critical need as organizations increasingly deploy AI systems that face unique security threats such as prompt injection, data leakage, and adversarial attacks.
Real-Time Protection
Airlock provides real-time monitoring and protection for AI models and applications, helping to detect and mitigate threats as they occur rather than relying solely on post-incident analysis.
Easy Integration
The platform is designed to integrate with existing AI workflows and infrastructure with minimal friction, allowing teams to add security layers without significantly reworking their existing AI pipelines.
Addressing Emerging Threat Landscape
Airlock targets the relatively new and rapidly evolving space of AI-specific vulnerabilities, including prompt injection, jailbreaking, and sensitive data exfiltration, which traditional security tools are not equipped to handle.
Guardrails for LLM Applications
The platform offers guardrails specifically tailored for large language model (LLM) applications, helping organizations deploy generative AI solutions with greater confidence and compliance.

Possible disadvantages of Airlock

Nascent Product and Company
As a relatively new entrant in the AI security space, Airlock may lack the maturity, proven track record, and extensive battle-testing that more established cybersecurity platforms offer.
Limited Public Information
There is relatively limited publicly available documentation, case studies, and independent reviews, making it harder for potential customers to thoroughly evaluate the platform before committing.
Niche Market Focus
Airlock's narrow focus on AI security means it may not serve as a comprehensive security solution, requiring organizations to maintain additional security tools for their broader infrastructure needs.
Evolving AI Threat Landscape
The AI security domain is changing extremely rapidly, and there is a risk that the product may struggle to keep pace with novel attack vectors and emerging threats that haven't yet been anticipated.
Potential Vendor Lock-In
Depending on how deeply Airlock integrates into AI workflows, organizations may face challenges migrating away from the platform or switching to competing solutions as the market matures and more options become available.

ShadowLock features and specs

No features have been listed yet.

Analysis of Airlock

Overall verdict

Airlock (air-lock.ai) appears to be a solid choice for teams looking to secure and manage their AI applications, offering practical safeguards and governance features. As with any emerging security tool, its suitability depends on your specific needs, so evaluating it against your requirements and testing it in your environment is recommended.

Why this product is good

Focuses on AI security and governance, addressing a growing need as organizations adopt AI systems
Aims to help protect against risks like prompt injection, data leakage, and misuse of AI applications
Designed to give teams greater visibility and control over how AI tools are used
Can help organizations meet compliance and safety standards for AI deployments

Recommended for

Companies deploying LLM-based or generative AI applications who need security guardrails
Security and compliance teams responsible for governing AI usage
Enterprises concerned about data privacy and preventing sensitive information leakage through AI
Developers building AI products who want to mitigate risks like prompt injection and abuse

Analysis of ShadowLock

Overall verdict

I don't have verified information about ShadowLock (shadowlock.io) in my training data, so I can't confirm its features, reliability, or reputation. I'd be fabricating details if I claimed specific knowledge about this product. I recommend checking independent reviews, verifying company legitimacy through domain age/registration info, looking for user testimonials on third-party sites, and checking security/privacy audits before trusting this service, especially if it relates to security or password management given the name.

Why this product is good

Insufficient verified data available to confirm quality or legitimacy
Name suggests security/privacy focus, which warrants extra due diligence
Cannot verify company background, funding, or track record
No access to independent reviews or user feedback on this specific product

Recommended for

Users should independently research this product before use
Best suited for those willing to verify security credentials and read third-party audits first
Not recommended to trust based on name alone, especially for security-sensitive use cases
Consider reaching out to cybersecurity communities or forums for firsthand user experiences