Gophish vs Lightning AI comparison

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Gophish

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Executive Summary

We performed a comparison between Gophish and Lightning AI based on real PeerSpot user reviews.

Find out in this report how the two AWS Marketplace solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Gophish vs. Lightning AI Report (Updated: July 2026).

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Gophish vs. Lightning AI

July 2026

Helped 909,948 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Gophish

Ranking in AWS Marketplace

2nd

Average Rating

8.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Lightning AI

Ranking in AWS Marketplace

30th

Average Rating

8.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the AWS Marketplace category, the mindshare of Gophish is 0.2%, up from 0.2% compared to the previous year. The mindshare of Lightning AI is 0.2%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AWS Marketplace Mindshare Distribution
Product	Mindshare (%)
Gophish	0.2%
Lightning AI	0.2%
Other	99.6%

AWS Marketplace

Featured Reviews

Juanfran Celdran

Administrador de sistemas informaticos en red at a consultancy with 201-500 employees

Phishing awareness campaigns have improved training impact but still need smarter automation

I think Gophish could be improved with more automation, for instance. It is great that you can create templates, schedule them, and do everything you want in Gophish, but it would be nice to have a small integrated AI model with which you could create email templates and phishing templates. It would be nice if Gophish implemented artificial intelligence. I wish Gophish could provide more support and be more advanced and that they continue developing it because it seems that Gophish does not get many updates, and I think they need to implement more features. It is great because it is free, but it needs more features. It would be cool if there was an artificial intelligence model that could create phishing campaigns or templates or email templates for you integrated within Gophish. I would rate it a seven. It is quite good and free software, but it needs more substance. It also depends on the number of clients a company has; it may be necessary to launch Gophish in a staggered way, which I also think is a drawback Gophish has. The issue is that if there are many people being targeted, for example, 5,000 employees in a company and you send 5,000, it may be that sending so many messages gets blocked by the security systems companies have. I think that Gophish could also improve the message sending flows. I gave it a seven because there are things to improve and it is not perfect. As I said before, it would be nice if templates could be created with AI, integrated into Gophish using an API with Gemini or ChatGPT or whichever, but the point is that it would be nice if the sending flows at large scale were better managed. When you send a phishing campaign to 5,000 people, you have to send it in sections in a staggered way, for example: to these 5,000 people it is going to be sent between eight in the morning and four in the afternoon. If you send them all at once, the phishing may get blocked and then the campaign has no effect. I would like it if Gophish implemented more improvements because they are needed, as it is kind of a bit stagnant. I hope that in the future they add more improvements including creating personalized templates with artificial intelligence and improving the message sending flows.

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Shravan Revanna

Software Engineer at klydo.in

Rapid experimentation has transformed our AI prototyping and collaboration workflows

There are definitely a few areas where Lightning AI can improve. Overall, we have had a positive impact, but there are definitely a few areas it could enhance. One area is cost visibility and resource management. There are multiple teams running experiments, GPUs, and long-running sessions. It is not always obvious how much compute is being consumed and what the projected costs might be. More granular visibility and alerts would help the team manage usage proactively. Another area is workspace and project organization. As the number of experiments grows, it can become difficult to keep projects, notebooks, data sets, and test environments organized. Better lifecycle management could help achieve this and discoverability would be useful for larger teams. We have also encountered situations where long-running sessions or development environments needed more resilience. While this is not unique to Lightning AI, interruptions during model training and experimentation can be frustrating, especially when working with larger data sets. From an enterprise perspective, I think there is room to strengthen governance and operational control. Features around permissions, auditability, environment standardization, and usage policies become increasingly important as adoption expands across teams. I would particularly appreciate better support for moving successful experiments into production workflows. There could be better cost and resource visibility, stronger project and experiment organization, improved reliability for long-running sessions, stronger governance capabilities, and a smoother journey from experimentation to production. None of these are major blockers for us, but these are areas where the platform could become more valuable as the team and workload scale. A minor annoyance would be stronger project and experiment organization. When more data sets and more projects come into place, it becomes difficult to organize, and keeping them in a standardized way becomes slightly difficult. That is an area I wanted to highlight. There is not much of a pain point. There are a few minor suggestions I would mention, such as observability and experiment tracking at scale. When teams start running many experiments across different models, it becomes increasingly important to have a clear view of what changed and why performance improved or declined. That could be one area. Another area is cross-team discoverability. As AI adoption grows within an organization, valuable experiments and reusable components can be scattered. Better mechanisms for surfacing reusable workflows and templates would be beneficial. I would also appreciate continued investment in LLM and agent development workflows. The AI landscape is evolving rapidly. These suggestions come from the perspective of a team that is using the platform heavily. Most of the core capabilities work well today, which is why the feedback is more about helping the platform scale with a growing AI organization rather than fixing major shortcomings.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Gophish has positively impacted my organization by making it very easy to set up and start phishing campaigns."

"I think Gophish is a fantastic tool that, at least for my use case, worked perfectly."

"Gophish has positively impacted my organization by helping my team reach our goals."

"Gophish, despite being a free tool, fits very well because it has all the features we need, from creating landing pages and creating the email to tracking the click traffic and the ingestion of information."

"Gophish has impacted my organization positively in terms of security awareness, as I have noticed fewer phishing incidents and more responses towards reporting phishing emails as specific improvements."

"Regarding my use of Gophish in this academic context, I found it extremely easy to use; you do not need to be a technical person with special skills to be able to handle it."

"Gophish is a good structure and a good technological innovation that deserves to be studied and much better known by the world because not everyone knows Gophish."

"The impact it has had is that we have been able to sell it to clients who, for example, do not have the money to pay for a platform because they are small startups, and so with Gophish we create a solution that is cheaper for them."

More Gophish pros

"With the help of Lightning AI, we were able to manage our workflows efficiently, manage our GPU infrastructure effectively, and save a substantial amount of time and actions in those areas."

"Lightning AI is excellent for setting up GPU servers, Docker, Kubernetes, and ML infrastructure, providing everything in one platform, which is the unique aspect I have noticed."

"Lightning AI changed my workflow compared to what I was doing before by not only saving my time, but also making my training and validations more standardized to try different hyperparameters and logging metrics and tracking points."

"Overall, it has helped us spend less time on infrastructure and operational setup and more time building constantly and evaluating AI solutions that can create value for businesses."

Cons

"I do not really have any improvements in mind at the moment, but offering ready-made templates that we could use or examples of emails that we could directly use would be beneficial."

"Gophish can be improved in that it is an open-source solution and there is a bottleneck issue related to sending emails."

"When I send to more than 300 recipients, I am forced to split it into several sends because the tool doesn't behave effectively and freezes."

"I think Gophish could be improved because it is effective for its purpose, but there are certain features that can be enhanced."

"Gophish can be improved by adding more languages and maybe a web version for it, a SaaS platform."

"The customer support needs improvement."

"I think Gophish could be improved with a user-level function, meaning if the person is strong or weak, we send more or fewer awareness emails, and rely on real attacks in order to be able to create a template by itself."

"The feature of actually taking the website's source code might be something which is not so ethical, because you're copying from the main website even though you're learning."

More Gophish cons

"When running large workloads or complex projects, Lightning AI can sometimes experience lag or latency issues, and I am not always satisfied with the training results, as I have noticed spikes during training."

"I think I have an idea for improving Lightning AI in the area of debugging distributed training. I know the abstraction is great, but when something can go wrong in multi-GPUs, we could probably have more intuitive diagnostics or clearer error messages that would help us to further reduce iteration time or debugging time."

"There are definitely a few areas where Lightning AI can improve."

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Top Industries

By visitors reading reviews

Construction Company

26%

Manufacturing Company

10%

University

10%

Comms Service Provider

Construction Company

35%

University

14%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	6
Large Enterprise	9

No data available

Questions from the Community

What is your experience regarding pricing and costs for Gophish?

My experience with pricing, setup costs, and licensing shows that the setup cost is not very high; Gophish is completely free, as it is an open-source tool.

What needs improvement with Gophish?

I believe Gophish can be improved in a few areas. First, the user interface could be made more modern and beginner-friendly. The current setup is simple, but for a new user, campaign creation, land...

What is your primary use case for Gophish?

My main use case for Gophish is to run a phishing awareness campaign inside an organization in a safe and controlled way. For example, instead of waiting for a real attacker to send a fake email to...

What needs improvement with Lightning AI?

Lightning AI is currently in a good stage, but for improvements, integrated tools could be added to easily update ticket statuses directly from Lightning AI, persistent storage offerings could be e...

What is your primary use case for Lightning AI?

My main use case for Lightning AI was personally training a large language model named Bharat LLM, which is a Hindi, English, and Hinglish model with seven billion parameters, trained on roughly ei...

What advice do you have for others considering Lightning AI?

I would advise others looking into using Lightning AI to consider it as a platform where you don't have to worry much about infrastructure and management across your codebase. Lightning AI is a ver...

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Product Reports

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Gophish

August 2026

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August 2026

Overview

Gophish is an open-source phishing toolkit aimed at simplifying the creation and execution of phishing campaigns for cybersecurity professionals.

Designed to cater to organizations seeking to enhance their security awareness, Gophish offers a streamlined process for launching phishing simulations. It provides a customizable environment, allowing users to simulate real-world phishing scenarios efficiently. With its user-friendly interface, even those with limited technical skills can easily navigate and deploy effective campaigns. Gophish has become a vital tool for companies looking to test employee susceptibility to phishing attacks and refine their security protocols.

What are the key features of Gophish?

Campaign Automation: Automate phishing campaigns with pre-designed templates and schedules.
Customizable Landing Pages: Easily create and edit landing pages to closely mimic real phishing sites.
Real-time Reporting: Obtain immediate results and insights for each campaign to assess effectiveness.
User Management: Organize targets into groups for specific and detailed phishing simulations.

What benefits and ROI can users expect?

Enhanced Security Awareness: Users gain valuable insights into employee responses to phishing attempts.
Cost-effective Training: Reduces the need for expensive external security consultants.
Improved Incident Response: Helps organizations develop more robust protocols against security threats.
Scalable Solutions: Easily manage small to large-scale campaigns with minimal operational impact.

Gophish is widely adopted across banking, healthcare, and retail industries to tackle specific challenges related to phishing risks. In banking, it helps simulate threats that target customer financial information. Healthcare organizations leverage it to protect sensitive patient data by educating staff to recognize phishing attempts. In retail, Gophish assists in safeguarding consumer transaction data. Its adaptability and effectiveness make it a favored choice for diverse industry needs.

HailBytes

Lightning AI is an advanced platform that supports AI development through flexible solutions catering to diverse industry demands. It streamlines complex processes to enhance machine learning capabilities for businesses.

Offering versatile functionality, Lightning AI integrates sophisticated AI architecture designed for efficiency and speed. It is crafted to accelerate AI workflows and is particularly advantageous for enterprises adopting data-driven strategies. The platform supports various stages of AI deployment, including prototyping, testing, and scaling, ensuring that businesses can harness the full potential of AI technologies effectively. Its robust infrastructure facilitates seamless integration and deployment, making it an integral tool for modern AI projects.

What are the most important features of Lightning AI?

Scalable Deployment: Facilitates the easy scaling of AI models as business needs grow, ensuring consistent performance.
Real-time Data Processing: Enables quick analysis and processing of data, allowing for timely insights and actions.
Intuitive API Integration: Offers simple integration with existing systems to enhance functionality without disruption.

What benefits and ROI should users look for in reviews when evaluating Lightning AI?

Increased Efficiency: Users often note significant improvements in workflow speed and productivity.
Cost-effectiveness: The platform is recognized for reducing expenditure by optimizing resource utilization.
Improved Decision-making: Enhanced data analytics capabilities provide deeper insights leading to better business decisions.

In finance, Lightning AI is used for predictive analytics, helping institutions manage risks and optimize investment strategies. In healthcare, it improves patient care through data-driven diagnostics and personalized treatment plans. Retail companies benefit by utilizing AI for inventory management and customer behavior analysis, enhancing operational workflows and customer satisfaction.