Last updated: June 2026 · By the Verax research team
Lasso Security is an AI security startup with a wide footprint, from employee shadow-AI control through a browser extension to securing homegrown LLM apps and agents. This wider footprint however, means it leaves gaps within certain areas, especially when it comes to securing your own employees and their AI usage.
If you're evaluating alternatives for the employee side, its closest rivals are the other AI usage security tools, and the main questions are around the architecture and use case.
How to choose
First you need to understand what you’re looking for:
- Securing employee AI usage (sometimes including agents) by ensuring they use AI safely and how you intended. The best give you visibility, access controls, and DLP functionality that goes beyond the prompt to identify usage at the interaction level, securing any files, connectors, or skills. Additionally, they will ensure your workforce is using the correct models, tools, and tiers.
- Securing homegrown LLM apps and products. These tools focus on AppSec, helping make sure that your users and products are safe.
The next consideration will be the architecture:
- Browser-based solutions are great for some use cases, but not a great fit for AI, where use primarily happens across desktop and mobile apps, within other SaaS, and via agentic workflows. Some companies initially secured AI usage this way but most are realizing this not to be the longterm solution.
- Endpoint agents may be the most complete solution, but are commonly frustrating for security teams as they can limit performance for employees, increasing tickets and noise. Bugs threaten to take out your entire infrastructure (as we saw in the past when all airlines went down due to this deployment method). Not to mention the need for maintenance and limitation when it comes to personal devices and agents.
- Network solutions are the most complete solution, completely securing any traffic going through your network wherever it happens. This does require additional configuration, however, for remote employees and working from home.
Which Lasso alternative is right for you?
Best for AI security beyond the browser? Verax is the pick for teams that want to secure their employees AI usage. With a network-based solution that also offers endpoint agents for additional protection, It secures AI wherever or however it is used, covering native apps, embedded AI, mobile, and personal or contractor devices whose traffic crosses your network, with nothing to deploy. It's not the pick if agentic/MCP coverage is your top priority today, where Harmonic is further along.
Best browser-based AI security? Harmonic Security is a strong, AI-native choice with well-regarded "coach, don't block" UX, identity and plan-tier detection, and a dedicated MCP gateway for agents. Its protection runs through a browser extension and a desktop agent, with detection in its cloud.
Best for securing homegrown LLM apps? Prompt Security (now part of SentinelOne) pairs browser-based employee AI DLP with protection for the LLM apps you build, via an API, with real-time prompt-injection and jailbreak controls. Worth a close look if you're already a SentinelOne shop.
Best broad DLP suite? Nightfall is the pick if you want a mature, established DLP platform where AI is one of many covered surfaces, with machine-learning detection and app-level shadow-AI visibility.
For reference, Lasso itself is strongest at securing homegrown apps and agents through its developer line: IDE plugins, an SDK, and an open-source MCP gateway.
How we evaluated
- Enforcement point. Browser extension, or your own network.
- Coverage. Browser-only, or native desktop apps, embedded AI, and mobile too.
- Where inspection runs. The vendor's cloud, or your own environment.
- Depth of AI coverage. Discovery and DLP, or per-interaction signals (plan, model, connectors, files).
- Breadth, including app-development and agentic security, where Lasso is strong.
Comparison at a glance
Reflects publicly available vendor information as of June 2026, verified against each vendor's documentation.
How to choose
Decide whether your problem is browser-based employee AI (and, for Lasso, app-development security), or securing AI usage wherever it happens with inspection in your own environment. If it's the former, Lasso, Harmonic, and Prompt Security are strong AI-native options, and Nightfall covers broad DLP. If it's the latter, with per-interaction depth and coverage beyond the browser, that's Verax's lane. Ask each vendor: does it cover AI outside the browser, where does inspection run, and how deep does it see each interaction.
Frequently asked questions
What is the best Lasso Security alternative? For securing employee AI usage beyond the browser, with inspection in your own environment and per-interaction depth, Verax is the standout. Harmonic is the closest browser-based peer, Prompt Security (now part of SentinelOne) adds homegrown-app security, and Nightfall is the choice for broad DLP beyond AI.
Who are Lasso Security's competitors? On the employee ysage side: Verax, Harmonic, and Prompt Security. For broad DLP that also covers AI: Nightfall. Lasso also competes on the developer/agentic side, where its open-source MCP gateway and SDK are differentiators.
Does Lasso cover AI used outside the browser? Lasso's employee product runs as a browser extension, so its enforcement is browser-based. Apps and agents fall outside it. Lasso covers app-development and agentic AI through a separate line (IDE plugins, SDK, MCP gateway). Verax covers employee AI beyond the browser, from the network.
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