Astrix is used primarily for observability of LLM applications, including AI agents and RAG systems. For example, we have a refund email process where a prompt processes the email and, with some inspection, proceeds with the refund. Astrix sometimes provides incorrect answers in this workflow. The user query goes to the prompt, then to the LLM response, reads some data, calls tools, and then provides the final response. Once we implemented Astrix, we added middleware to monitor the observability of the response, temperature, model latency, and cost.
My primary use case for Astrix is discovering, monitoring, and securing all non-human entities connecting to our core SaaS application, including API keys, OAuth tokens, service accounts, and third-party integrations.
My primary use case for Astrix is SaaS to SaaS access governance and third-party app risk management, especially for OAuth connected applications across Google Workspace and Microsoft 365. The most important use case for me is monitoring and controlling third-party OAuth integrations. For example, I discovered through Astrix that several employees had connected AI productivity tools and automation apps to Google Drive and Gmail, some with full read and write permission across company files. Before Astrix, I had very limited visibility into which apps were connected, what level of permission they had, whether they are still actively used, or whether they posted external exfiltration risk. After Astrix, I received real-time risk alerts. Astrix classified the app based on risk level. I am able to automatically revoke high-risk tokens and created policies to prevent similar risky scopes in the future. This one incident justified the investment. Other use cases include vendor off-boarding automation, continuous SaaS posture management, security hygiene reporting for compliance audit, and identifying dormant integrations to reduce blast radius for compromised SaaS accounts.
Astrix is celebrated for streamlining workflows and optimizing data integration, enhancing efficiency with automation and insightful analytics. Its user-friendly interface and exceptional customization options cater to various industries. By boosting organizational efficiency and collaboration, Astrix enables data-driven decision-making and improved productivity.
Astrix is used primarily for observability of LLM applications, including AI agents and RAG systems. For example, we have a refund email process where a prompt processes the email and, with some inspection, proceeds with the refund. Astrix sometimes provides incorrect answers in this workflow. The user query goes to the prompt, then to the LLM response, reads some data, calls tools, and then provides the final response. Once we implemented Astrix, we added middleware to monitor the observability of the response, temperature, model latency, and cost.
My primary use case for Astrix is discovering, monitoring, and securing all non-human entities connecting to our core SaaS application, including API keys, OAuth tokens, service accounts, and third-party integrations.
My primary use case for Astrix is SaaS to SaaS access governance and third-party app risk management, especially for OAuth connected applications across Google Workspace and Microsoft 365. The most important use case for me is monitoring and controlling third-party OAuth integrations. For example, I discovered through Astrix that several employees had connected AI productivity tools and automation apps to Google Drive and Gmail, some with full read and write permission across company files. Before Astrix, I had very limited visibility into which apps were connected, what level of permission they had, whether they are still actively used, or whether they posted external exfiltration risk. After Astrix, I received real-time risk alerts. Astrix classified the app based on risk level. I am able to automatically revoke high-risk tokens and created policies to prevent similar risky scopes in the future. This one incident justified the investment. Other use cases include vendor off-boarding automation, continuous SaaS posture management, security hygiene reporting for compliance audit, and identifying dormant integrations to reduce blast radius for compromised SaaS accounts.