Coralogix has signed a Strategic Collaboration Agreement with AWS, expanding their technical partnership to focus on
building and scaling AI-driven observability and security solutions for cloud-native environments.
Traditional observability tools often rely on fixed thresholds and basic machine learning models, which can fall short in dynamic, high-scale systems. Coralogix is taking a different approach. By integrating Amazon Bedrock and its foundation models, such as Claude, LLaMA, and Titan, Coralogix is enabling AI-native observability that adapts in real time to system behavior, user context, and infrastructure changes. Instead of hard-coded rules, these models detect anomalies across logs, metrics, traces, and security signals, using semantic understanding and behavioral correlation to identify emerging incidents before they disrupt operations.
Co-Innovation at the Core of the Coralogix-AWS Collaboration
According to
Coralogix CEO Ariel Assaraf, this collaboration isn’t just about backend integration, it’s about deep co-innovation. "Our partnership with AWS is built on deep technical alignment and the co-development of solutions designed to address critical use cases in observability, security, and compliance,” he said. “Without our partnership, customers are left without the insights they often demand.”
That alignment spans native integrations with services like CloudWatch, Kinesis, S3, Firehose, and Lambda. Coralogix also gets early access to AWS features, allowing its team to validate and optimize functionality before those features are publicly released. “Regular roadmap alignment between our engineering teams ensures synergy on SDKs, agents, and telemetry pipelines,” Assaraf noted.
Bringing Real-Time Threat Detection to the Edge
One of the clearest examples of this co-development is Coralogix’s integration with AWS WAF and Amazon CloudFront. Customers can ingest and analyze WAF and edge telemetry in real time, detecting unusual IP patterns, suspicious payloads, and geolocation anomalies without relying on batch ingestion or static alerting.
In one real-world example, a media company using CloudFront was able to block a botnet scraping attempt within seconds, thanks to real-time correlations between WAF data and application logs. “We bring edge-layer telemetry directly into the core observability layer, instantly,” said Assaraf. “This means real-time dashboards, proactive threat detection, and Lambda-triggered response automation without added complexity or inflated storage costs.”
Lower Costs Without Compromising Visibility
The platform’s architecture plays a major role in its cost efficiency. With in-stream analytics and a data prioritization model, Coralogix eliminates the need to index everything. Customers can parse, filter, and store data based on its business value, dramatically reducing storage costs, especially in high-volume edge environments.
This model is proving especially beneficial for organizations handling petabyte-scale telemetry. “Billing by data priority, not just volume, allows our customers to monitor more, spend less, and avoid compromises in visibility,” Assaraf said.
One Platform for Full-Stack Observability and Security
As the observability and security markets converge, Coralogix is positioning itself as a unified platform for DevSecOps teams, MSSPs, and enterprise IT. By covering the entire OpenTelemetry pipeline—from logs and traces to WAF events and business KPIs, the platform avoids the need for stitched-together tools.
“AI isn’t bolted on; it’s built in,” Assaraf emphasized. “We’re enabling behavioral anomaly detection, natural language incident summaries, and automated root cause suggestions, all powered by Bedrock and foundation models.”
Designed for Scale, Built for Partners
Coralogix’s cloud-native, regionless architecture supports localized data residency and low-latency ingestion across global environments. At the same time, its partner-first approach is accelerating adoption among MSSPs, with support for usage-based multitenancy, tenant-level billing, and white-label options.
With a growing network of AWS-aligned offerings, from Marketplace availability to joint co-sell programs, customers also benefit from simplified procurement and shared technical expertise.
As businesses modernize applications and push more workloads to the edge, the ability to detect anomalies and respond to threats in real time is critical. This expanded partnership between Coralogix and AWS is designed to meet that demand, delivering smarter, faster, and more cost-efficient observability to customers across industries.
For organizations navigating the complexities of digital transformation, Coralogix offers a path forward: full-stack visibility, edge-to-core threat detection, and AI-native insights that scale with the business.
