FAQs Coralogix AI Tools
December 5, 2025
Coralogix offers powerful AI solutions in accordance with its Terms and Conditions and AI Tools Acceptable Use Policy:
Cora AI
Cora AI is an optional suite of features which are built-in directly on top of the Coralogix UI. It helps you create queries, interpret logs and receive answers from documentation. It can be toggled on and off (individually per tool or together as a full suite) at any time in the settings. It includes 3 features:
AI DataPrime Query Assistance – Create searches using plain English (no complex queries needed)
Explain Logs – Understand logs easily. It will break down log data into simple, clear terms to help you quickly find and fix issues.
Knowledge Assistant – Get instant, smart answers from your internal documentation, knowledge base and past incidents.
AI Center
A Service for monitoring your AI systems’ performance, security, compliance, and cost. Located as a tab in the top bar of the Coralogix UI. Integrate your desired AI projects into the Coralogix platform and send spans in the same way you send other traces to Coralogix. The AI Center includes:
AI Evaluation Engine – Checks every prompt and response for accuracy, security, and compliance automatically. You can customize it for your needs. Uses Azure OpenAI for processing.nd response for accuracy, security, and compliance-automatically. You can customize it for your needs. Uses Azure OpenAI for processing.
AI-SPM (Security Posture Management) – Monitors real-time AI security issues like prompt injections, data leaks, and personal data exposure using simple dashboards.
User Journey & Cost Tracking – Keeps an eye on user activity and token use to spot issues and control costs.
Performance Metrics – Flags slow, inaccurate, or risky AI behavior so teams can fix problems fast and maintain a smooth user experience.
Olly
A standalone AI agent that connects to your Coralogix observability data; logs, metrics, and traces, and enables you to interact with your data through a conversational interface.
Olly is Coralogix’s AI observability agent that makes logs, metrics, and traces easily accessible through natural language queries. Users can ask questions like “Why is my app slow?” or “What’s wrong with the payment flow?” and get instant, actionable insights.
Olly automatically scans all telemetry data to identify root causes and suggest fixes, eliminating manual investigation. It drastically reduces troubleshooting time, helping teams resolve issues faster and keep systems running smoothly. Built to democratize observability, Olly empowers all team members—not just engineers—to understand and act on system behavior
Explianability- Olly adheres to one of the core principles found in AI regulatory frameworks: the ability to clearly explain, trace, and justify system outputs. Olly has complete transparency into the logic behind every output, including the exact DataPrime and PromQL queries it executes. This enables inspecting, validating, reusing, and learning from the underlying reasoning process, reducing opacity and supporting responsible AI governance.
Transparency – Olly defaults to transparency, displaying all queries so users can verify correctness, understand the process, and improve practices. Olly emphasizes visibility, trust, auditability, and compliance with AI transparency standards.
Olly services shall be provided in accordance with Coralogix Master Subscription Terms and Addendum to Coralogix Master Subscription Terms- Olly Services
FAQs
| # | Question | Cora AI | AI Center | Olly |
| Activation & Admin Rights | ||||
| 1 | Is it on by default | No | No | No |
| 2 | Who can turn it on/off? | By admins or by users that are provided the team- ai settings: Manage permission. Toggle switch on/off In the settings under account preferences. | Only admins. It requires specific configuration to be set up properly by the User admin. Additionally, access controls are implemented through RBAC, ensuring that only admin users or specific authorized users can access its features and functionalities. | Only customers, in the separate interface through Ollyhq.com, users must configure the AI agent and integrate it with their Coralogix data. |
| 3 | Once activated, can individual users enable / disable it? | By admin users or by users that are provided the team- aisettings:Manage permission | Only by admin users. | Only by admin users |
| 4 | Can the AI tool be activated or deactivated later? | Yes, by admins or by users that are provided the team- aisettings: Manage permiss ion | Yes, by admins. | Yes, by admins |
| Data Privacy | ||||
| 5 | Is any data sent to third parties? | Yes. Some tools use external AI services: ● OpenAI (used by AI Query Assistant & Explain Logs) ● Kapa AI (used by Knowledge Assistant) | Only for the Evaluations feature utilizing Coralogix’s private deployment of Azure OpenAI. | Olly utilizes GPT model through Azure OpenAI by default, and various optional LLM providers which can be selected: ● Azure OpenAI’s GPT Large Language Models, are deployed completely inside Coralogix’s own Azure VPC. Since everything runs within Coralogix’s isolated cloud environment: No telemetry data data leaves Coralogix infrastructure. Third- party vendors such as OpenAI can not access or store your data.. ● Claude model is available (as an optional processing model which users can toggle) on Coralogix’s AWS VPC. ● GCP through Google’s Vertex AI service with Endpoints which are configured with private endpoints only, with logical isolation. |
| 6 | Is my data used for training these models? | No, data is not used to train LLMs | No, data is not used to train LLMs | No, data is not used to train LLMs |
| 7 | What data is Processed? | It depends on the type of tool, for example Explain Logs: processes selected logs + metadata Query assistant: processes prompt + metadata Knowledge Assistant: processes only your question | User-AI spans for evaluations | Processing of all telemetry data which is queried. This is including your logs, metrics and traces relevant to your query or investigation. |
| 8 | Where is the data processed? | ● OpenAI: Runs on Microsoft Azure (US) ● Kapa AI: Sends prompts to OpenAI & Anthropic (US) | Microsoft Azure data centers hosted by Microsoft Azure in USA, EU or Asia-Pacific. | GPT model: Located in Microsoft Azure regions matching the customer selected AWS region. I.e. if the customer selected AWS hosting region is in EU, then the Processing datacenters will accordingly be in the EU. ● Claude model: Located in AWS regions matching the customer-selected AWS region. I.e. if the customer selected AWS hosting region is in EU then the Processing on Azure datacenters will accordingly be in the EU. ● Gemini model: located in GCP regions matching the customer AWS selected region. I.e. if the customer selected AWS hosting region is in EU, then the Processing on GCP datacenters will accordingly be in the EU, however customers located in Asia should note that |
| 9 | Is data stored externally? | Yes, up to 30 days, only to prevent abuse. | No. | No. |
| Compliance | ||||
| 10 | Is it GDPR compliant? | Yes | Yes | Yes |
| 11 | Can it be used with PHI (Protected Health Information)? | No, it is not HIPAA compliant | Yes, it is HIPAA compliant | Yes, it is HIPAA compliant |
Coralogix MCP
The Model Context Protocol (MCP) server enables external AI agents to access and analyze Coralogix observability data via a remote interface. It utilizes an express-based architecture to integrate AI tools with Coralogix telemetry, enabling effective troubleshooting and root cause analysis. MCP serves as an open standard for connecting AI systems to various application services.
| Do I need to install anything? | No, the server is remote and does not require any local installation. |
| Can I use MCP with 3rd party AI tools? | Yes, you can use MCP with other AI LLM’s or IDEs you choose to use. |
| What is required to activate MCP? | You simply add the configuration available here to you mcp.json and replace the endpoint and api key as detailed in the setup guide. |
| Is it turned on by default? | No |
| What permissions are required? | Depending on the data you would like to query, the following permissions are required for using the MCP server. |
| Can the MCP be activated or deactivated later? By Whom? | As the MCP connects to 3rd party AI tools, managing its use and permissions is associated with its use through the 3rd party tool itself. Customers are responsible for managing the permissions within their 3rd party tools. |
| Is any data Processed by third parties? | Customers select which 3rd party AI tools they will integrate with. Coralogix does not have any responsibility for the Processing which occurs on customers’ 3rd party AI tools. |
| Is my data used for training these models? | Coralogix remains isolated from those external processes. The data may be used according to the 3rd party AI LLM’s or IDEs you choose to use. |
| What data is Processed? | Data that you explicitly query from your Coralogix account. |
| How do you avoid Cross-tenant data exposure? | Logical segregations through separate endpoints and uniqueAPI keys. |