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Aurora is a team of specialized AI agents that works alongside your security team. When an alert comes in, the agents analyze it, dig deeper and produce a clear report with recommended actions. Your analysts start from the conclusions, not from scratch.

Security teams receive hundreds of alerts every day, and many are false alarms. Aurora does the first round of analysis on all of them, so people can spend their time on real threats. The result: faster responses, less stress and less risk that an important alert goes unnoticed.

No, it empowers them. Aurora prepares the analysis and suggests what to do, but it does not carry out corrective actions on its own. The final decision always rests with a person, and you keep full control.

The time for the first analysis of an alert goes from tens of minutes to a few moments, and the work runs 24 hours a day. The savings depend on the volume of alerts you handle: during evaluation we can measure it together on your real data.

No. Aurora connects to the monitoring systems you already use, such as Graylog, Elasticsearch/OpenSearch and Wazuh. There is nothing to replace and no processes to redo. It fits into what you already have.

It's up to you. Aurora can run entirely within your infrastructure and use AI models installed in-house, so nothing leaves your perimeter. If you prefer an external AI service, you can use one. In either case, a feature is available that anonymizes personal data in the stored information.

Yes. Aurora can be installed entirely inside your infrastructure, including in a fully air-gapped setup with no connection to the outside: agents, locally installed AI models, knowledge base and reports all stay within your perimeter. For GDPR this means the personal data found in alerts and logs is never sent to third parties or transferred outside the EU, and an anonymization feature is available for the stored information. For NIS2 an isolated installation removes the supply-chain and third-party risk of relying on external services, while the first analysis of every alert, the report with its 1h, 4h, 24h and 7-day action plan and the searchable activity log help you document incidents and meet the early-warning (24 hours) and notification (72 hours) deadlines. Compliance ultimately rests with your organization, but Aurora is built to make full alignment with both regulations straightforward, and we are happy to go through it with your DPO and security lead.

No. Aurora works with the main providers (OpenAI, Azure, Anthropic, GitHub Copilot) and with locally installed models. You can switch at any time, and you can also set up an automatic fallback if the primary service doesn't respond.

Aurora notifies you where you already work: Slack, Microsoft Teams, Google Chat or email. You decide who receives what and when, and you can also get periodic summaries so you aren't flooded with messages.

Yes. The agents' roles, behavior and procedures are configured from the interface, without writing code. You can also provide your own documents and internal procedures, so the analyses reflect your company's rules.

Aurora includes protected access with multi-factor authentication, Active Directory/LDAP integration, roles with different permissions (administrator, operator, read-only) and encryption of credentials and keys. Every activity is recorded in a searchable archive, useful for audits and internal reviews.

Installation is guided and doesn't require reorganizing your infrastructure. An initial setup procedure walks you through the first steps: connect your monitoring system, choose the AI service and you're up and running. A guided trial lets you verify it with no commitment.