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Transmit Security’s New AI Analytics Service Changes the Game for Identity Security

You are surrounded by data, but it’s of little use unless you’re able to extract meaning and insights. And you shouldn’t have to wait for an analyst to interpret it for you. When it comes to cybersecurity, you don’t have time for that. This is where Transmit Security sees immense potential for leveraging generative AI in security solutions, and we’re excited to be leading the way with a powerful new Conversational Analytics service capable of returning text, raw data or visualizations in response to queries. You’ll be empowered with the immediate answers you need to fortify security or optimize customer experiences.

At Transmit Security, we’ve made it our mission to give you maximum visibility into your identity stack — and today we’re introducing the only customer identity security solution to integrate AI large language models (LLMs) into our platform’s analytic capabilities. Our Conversational Analytics service enables you to ask text questions and receive answers about your data — in a form you can digest, understand and put to use.

In doing so, we’ve dramatically simplified your ability to extract meaningful insights about your end users and security posture — a much-needed solution in today’s data-driven world. This blog post explores how Transmit Security’s Conversational Analytics enhances visibility and empowers you to optimize security by bridging the gap between your raw data and your need for answers.

The power of large language models 

AI large language models (LLM) are trained on a vast amount of diverse data using a method called Reinforcement Learning from Human Feedback, which enables complex language processing based on human values. These models excel in generating human-like text responses and exhibit impressive language comprehension capabilities. 

Gleaning meaningful insights from most identity security platforms requires time and advanced technical knowledge, and the time and skill needed to synthesize data from disparate sources only grows as enterprise identity systems become increasingly complex. In addition, a constant stream of alerts and an ongoing shortage of skilled cybersecurity workers can make it difficult to cut through the noise to find and prioritize how to respond to threats.

Further complicating this problem is the wide range of stakeholders impacted by identity security, requiring data to be shared across security, identity, fraud, risk management and other teams — including individuals who may not have the technical skills needed for data analysis. As a result, these decision-makers must wait for experts to retrieve and analyze information, which can cause delays in decision-making. 

How Transmit Security is solving these problems

With the recent advances in large language models, our product development team saw an immediate opportunity to cut through this complexity and democratize data analysis. By creating a text-based analytics service, we are empowering anyone, with or without advanced technical skills, to perform quick custom searches on identity databases.

GIF illustrating how Transmit Security's Conversational Analytics feature can be used to create custom queries customer identity and security in natural language

The model will extract the intent and relevant parameters from the queries to retrieve the desired information, which is provided to you within seconds as coherent and informative answers in language or visualizations that you can easily comprehend.

For example, you might want to know: 

  • What is the blocking rate in the US from Windows operating systems over the past two hours? 
  • What is the most prevalent attack in the past week? 
  • Who are the most active users?

Once the query is constructed, the Conversational Analytics service securely executes it. Transmit Security ensures proper authentication and authorization protocols are in place to safeguard sensitive information and ensure that each interaction with Conversational Analytics remains private and within the bounds of your predefined access controls. 

The integration of AI-based large language models into our platform significantly enhances your experience and productivity, enabling you and your stakeholders to instantly gain valuable insights without relying on technical experts and accelerate investigations into usage trends, potential fraud and anomalies by instantly asking follow-up questions on returned outputs. Ultimately, greater visibility will lead to improved security management with the agility to quickly adapt to evolving threats and changing trends in usage.   

Addressing privacy and ensuring accuracy

While Conversational Analytics is a powerful new service, it’s essential to address the limitations and potential challenges associated with AI-generated responses. For instance, these models can sometimes suffer from “hallucinations” where the model generates responses or outputs that are not based on real-world knowledge or accurate information, leading to the creation of fictional or false results.

To tackle this, we have added enhancements to improve the accuracy of results generated by Conversational Analytics and ensure the privacy and security of all interactions with the service. After a query is entered, it is validated by robust validation mechanisms that automatically reject inappropriate or incorrectly generated queries, such as nonsensical requests or those that contain personally identifiable information, in order to minimize the risk of incorrect or sensitive data being exposed. Once the query is validated, metadata from the request is used to enrich the query with additional context that helps to generate more accurate results — a process known as “prompt engineering.”

Although prompt engineering does not completely eliminate the possibility of inaccuracies, Conversational Analytics contains a built-in mechanism that allows it to continuously improve its responses based on explicit feedback. This feedback is only used to tailor and improve your organization’s experience of Conversational Analytics; we do not use any data processed within Conversational Analytics for model training and enrichment, so the insights gained from your data stay only with you. 

To further minimize risk and ensure data privacy, security and compliance, each interaction with Conversational Analytics is underpinned by the same rigorous authentication, authorization and continuous risk assessment protocols that are used across our entire platform and trusted by some of the largest and most demanding enterprises in the world.

Unlock the potential of underutilized data

Transmit Security’s Conversational Analytics service, powered by AI-based large language models, revolutionizes the analysis of identity and security data. By enabling free language querying, Conversational Analytics makes data-driven insights richer, easier to obtain and accessible to a wider range of individuals within an organization. 

As AI continues to evolve, solutions like this demonstrate the immense potential of combining natural language processing with identity security products. Transmit Security’s innovative approach sets a new standard for identity security visibility and reinforces the importance of bridging the gap between analysts and complex security systems. 

Our AI-powered analytics service is now in beta and available to all Transmit Security customers. Or, if you’re not yet a customer, contact Sales to set up a free demo and see it in action today.


  • Jonathan Ben Dov, Data Scientist

    Jonathan Ben-Dov is a Data Scientist at Transmit Security, building and developing AI and ML solutions for various cases. Jonathan has been at the intersection of AI and security over the past years and was previously a part of the Data Science team for Checkpoint's Threat Emulation product. He holds a Bachelor's degree and is currently finishing his Master's degree in Computer Science with a focus on Deep Learning.

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  • Danny Kadyshevitch, Senior Product Manager

    Danny Kadyshevitch is a Senior Product Manager at Transmit Security previously building and leading product management for the company's Passwordless and MFA Services and is now running PM for Account Protection Services. Prior to Transmit Security, Danny has an essential experience in the domain of cyber security, after serving in the 8200 intelligence unit of IDF and spending 7 years in Microsoft's Cloud Security division.

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