eSentire Atlas AI FAQ
Security teams face mounting pressure to keep pace with threats while navigating complex tools and growing alert loads. This solution brief breaks down what Atlas AI is and how it enhances security operations by using multi-agent Generative AI to accelerate investigations, enrich findings, and bring expert-level reasoning to every workflow. Check out the solution brief to understand how Atlas AI strengthens your program, and contact Intelektra Technology, Inc. to speak with an expert about applying these capabilities in your environment.
What is eSentire Atlas AI?
eSentire Atlas AI is an advanced multi-agent Generative AI system integrated within eSentire’s Atlas Security Operations Platform. Its purpose is to scale human expertise rather than replace it, automating and enhancing security operations. By leveraging autonomous reasoning and action, Atlas AI accelerates threat detection and response, aiming to think and act like an expert. It is built on validated real-world workflows, providing transparency and context in minutes.
How does Atlas AI integrate with existing systems?
The eSentire Atlas SecOps Platform incorporates Generative AI models to enhance various security operations for both eSentire teams and customers. This integration supports functions like Agentic AI for alert investigations, AI Auditor for feedback on findings, and Point Tooling for investigation enhancements. It also allows natural language interaction with Atlas and enables internal users to utilize Generative AI for building low-code Atlas Actions.
What role do human experts play in Atlas AI?
Human experts are essential to the Atlas AI system, remaining involved at every step of the process. While Atlas AI facilitates preliminary investigations with detailed insights, all findings must be reviewed and approved by a human. This ensures that the results are accurate and aligned with the customer's specific business context and risk tolerance, maintaining the quality and relevance of the AI's output.
Sign in with LinkedIn