The rapidly accelerating integration of generative and autonomous systems into corporate workflows has fundamentally shifted the modern cybersecurity landscape. As enterprises aggressively adopt generative and agentic AI, they face emerging threats including prompt injection, model abuse, and attacks on autonomous agents. Managing these unique vulnerabilities requires a departure from traditional, disjointed security tools and a move toward comprehensive systems capable of protecting both core cloud infrastructure and novel artificial intelligence models simultaneously.

In a major industry milestone validating this holistic approach, Elastic recently achieved the AI Security distinction in the Amazon Web Services Security Competency. This designation recognizes that Elastic has demonstrated and successfully met the AWS technical and quality requirements for providing customers with a deep level of expertise in AI Security and Threat Detection and Response, to help them achieve their cloud security goals. By bridging the gap between infrastructure monitoring and machine learning protection, the unified platform aims to provide total visibility into AI-specific risks while accelerating secure innovation across diverse corporate environments.

“Achieving the AI Security distinction in the AWS Security Competency reinforces Elastic’s approach to enabling organizations to safely operationalize AI at scale,” said Mike Nichols, general manager, Security at Elastic. “Organizations building AI need security that keeps pace with rapidly evolving threats. Elastic addresses this need with an agentic platform that automates the security lifecycle, empowering analysts to focus on critical threats.”

Modern defensive operations rely heavily on automated capabilities to counteract threats that move at machine speed. The agentic security operations platform combines SIEM, XDR, and AI-powered detection and response in a unified platform to alleviate operational friction. When built using Amazon Bedrock, Elastic AI Assistant enables security teams to investigate threats using natural language, accelerating response and reducing analyst fatigue. This seamless interface allows engineering and security teams to collaborate more effectively when triaging complex infrastructure anomalies.

Deep integration with native cloud services remains essential for maintaining an optimal security posture. Elastic connects natively with Amazon GuardDuty, AWS Security Hub, AWS CloudTrail, Amazon Inspector, and Amazon Bedrock. Furthermore, detection content compiled by Elastic Security Labs is mapped directly to the MITRE ATT&CK framework and becomes fully available as soon as new data sources are connected. For organizations actively building agentic AI with Amazon Bedrock and Amazon Bedrock AgentCore, Elastic provides additional security for the unique risks posed by attacks, abuses, and threats that move at machine speed.

This achievement builds upon a broader foundation of technical validations and strategic cloud collaborations. The new designation adds to Elastic’s growing portfolio of AWS Competencies. As an AWS Advanced Tier Services Partner, Elastic holds the AWS Security Competency, the AWS Data and Analytics Competency, the AWS Financial Services Competency, the AWS Government Competency, the AWS AI Competency, and the AWS Education Competency, and participates in the AWS ISV Accelerate Program and the AWS ISV Workload Migration Program. Together, these recognitions reflect Elastic’s commitment to helping customers build, deploy, and protect AI applications on AWS with confidence. To ensure immediate operational availability, Elastic is available in AWS Marketplace, can be applied toward committed AWS spend, and is deployable across supported AWS regions in minutes.