Director Information Security at a financial services firm with 1,001-5,000 employees
Real User
Top 20
Sep 1, 2026
My main use case for CrowdStrike Falcon AI Detection and Response (AIDR) is visibility and the ability to block prompt injection. One specific example of how I use it for visibility or blocking prompt injection in my environment is that the Falcon sensor comes with an option to deploy the browser extension that gives great visibility, and we have done hook integration with the Claude Code that provides prompt level visibility. Getting to know what prompts are being executed is crucial, and the Falcon sensor has innate functionality through ID Automate that helps get visibility on AI governance and AI infrastructure, as well as what MCPs are running and what skills are being used.
Head of cybersecurity at a outsourcing company with 1,001-5,000 employees
Real User
Top 10
Sep 1, 2026
Currently, I am conducting a proof of concept and getting to know the CrowdStrike Falcon AI Detection and Response (AIDR) tool. The primary objective of CrowdStrike Falcon AI Detection and Response (AIDR) today is to manage our company's AI product and deploy AIDR to monitor all calls and tool resources. We have a tool that helps with software development by making calls, using AI to accelerate development, connected to Git, making calls with MCP and LLM. We need a tool to help us keep all of this secure, and we are testing CrowdStrike Falcon AI Detection and Response (AIDR) to see if we can close all the security gaps we currently have. We use our generative AI and agents in the development environment with CrowdStrike Falcon AI Detection and Response (AIDR). It has helped accelerate software development. The security challenge is maintaining both the data entered into the tool and the calls secure. CrowdStrike Falcon AI Detection and Response (AIDR) has helped us with visibility we did not have before. We do not use CrowdStrike Falcon AI Detection and Response (AIDR) for end users. We use it connected to other tools, and it helps accelerate processes for our other clients. With CrowdStrike Falcon AI Detection and Response (AIDR), we identify when a user makes a malicious prompt and we can have visibility of this, which we did not have before. With sensitive data, for example, source code, contracts, or something we understand to be sensitive, it can analyze this and either block it or alert us from a support perspective.
IT Manager at a insurance company with 1,001-5,000 employees
Real User
Top 10
Sep 1, 2026
I have been using CrowdStrike Falcon AI Detection and Response (AIDR) for two months. My main use case for CrowdStrike Falcon AI Detection and Response (AIDR) is finding shadow AI in the environment. I can give a quick specific example of how I have used AIDR to find shadow AI in my environment. We deployed browser extensions as well as now with CrowdStrike sensor. We are now able to monitor everybody who uses GenAI and everything so that we can understand what kind of LLMs that we are using across the board.
Senior Systems & Network Administrator at a construction company with 501-1,000 employees
Real User
Top 20
Sep 1, 2026
Our main use case for CrowdStrike Falcon AI Detection and Response (AIDR) is on the endpoint, so we can understand how our users are interacting with AI and ensure that guardrails are in place for them to follow approved policies for the use of AI. One of the main things we do is understand if our different departments are handling PII information in an appropriate way or if that ends up in prompts. We also have the ability to redact or limit that information once it goes into those prompts. We have observed that people may not have been trained to understand that this is a risk, and being able to understand how this is visible with CrowdStrike Falcon AI Detection and Response (AIDR) and how we can enforce policies on it has been valuable.
Learn what your peers think about CrowdStrike Falcon Guardian (AIDR). Get advice and tips from experienced pros sharing their opinions. Updated: September 2026.
CrowdStrike Falcon Guardian is CrowdStrike's flagship AI detection and response (AIDR) solution, delivering unified AI visibility, governance, runtime protection, investigation, and response. Falcon Guardian extends CrowdStrike's runtime security architecture into the agentic layer, connecting agent and AI activity with endpoint execution to establish a direct causal chain from prompt to agentic runtime processes. Falcon Guardian secures both workforce adoption of agents and AI tools as well...
My main use case for CrowdStrike Falcon AI Detection and Response (AIDR) is visibility and the ability to block prompt injection. One specific example of how I use it for visibility or blocking prompt injection in my environment is that the Falcon sensor comes with an option to deploy the browser extension that gives great visibility, and we have done hook integration with the Claude Code that provides prompt level visibility. Getting to know what prompts are being executed is crucial, and the Falcon sensor has innate functionality through ID Automate that helps get visibility on AI governance and AI infrastructure, as well as what MCPs are running and what skills are being used.
Currently, I am conducting a proof of concept and getting to know the CrowdStrike Falcon AI Detection and Response (AIDR) tool. The primary objective of CrowdStrike Falcon AI Detection and Response (AIDR) today is to manage our company's AI product and deploy AIDR to monitor all calls and tool resources. We have a tool that helps with software development by making calls, using AI to accelerate development, connected to Git, making calls with MCP and LLM. We need a tool to help us keep all of this secure, and we are testing CrowdStrike Falcon AI Detection and Response (AIDR) to see if we can close all the security gaps we currently have. We use our generative AI and agents in the development environment with CrowdStrike Falcon AI Detection and Response (AIDR). It has helped accelerate software development. The security challenge is maintaining both the data entered into the tool and the calls secure. CrowdStrike Falcon AI Detection and Response (AIDR) has helped us with visibility we did not have before. We do not use CrowdStrike Falcon AI Detection and Response (AIDR) for end users. We use it connected to other tools, and it helps accelerate processes for our other clients. With CrowdStrike Falcon AI Detection and Response (AIDR), we identify when a user makes a malicious prompt and we can have visibility of this, which we did not have before. With sensitive data, for example, source code, contracts, or something we understand to be sensitive, it can analyze this and either block it or alert us from a support perspective.
I have been using CrowdStrike Falcon AI Detection and Response (AIDR) for two months. My main use case for CrowdStrike Falcon AI Detection and Response (AIDR) is finding shadow AI in the environment. I can give a quick specific example of how I have used AIDR to find shadow AI in my environment. We deployed browser extensions as well as now with CrowdStrike sensor. We are now able to monitor everybody who uses GenAI and everything so that we can understand what kind of LLMs that we are using across the board.
Our main use case for CrowdStrike Falcon AI Detection and Response (AIDR) is on the endpoint, so we can understand how our users are interacting with AI and ensure that guardrails are in place for them to follow approved policies for the use of AI. One of the main things we do is understand if our different departments are handling PII information in an appropriate way or if that ends up in prompts. We also have the ability to redact or limit that information once it goes into those prompts. We have observed that people may not have been trained to understand that this is a risk, and being able to understand how this is visible with CrowdStrike Falcon AI Detection and Response (AIDR) and how we can enforce policies on it has been valuable.