Ciroos announced a suite of capabilities designed to manage the skyrocketing complexity of AI-powered infrastructure.
Ciroos’s AI-native SRE platform delivers proactive reliability intelligence specifically designed for modern enterprise environments.
Ciroos Signal Intelligence acts as an alert normalizer, ingesting, deduplicating and correlating them into a high-fidelity signal for investigation. By algorithmically performing these actions without the need to author rules, operators can automatically cut alert noise on day one, compressing thousands of noisy events into rich signals. For advanced use cases, operators can use a policy engine to govern investigation scope, cost, and other actions required to enhance autonomous reliability. In early customer deployments, Ciroos Signal Intelligence reduced noise by up to 60%.
Ciroos is reducing operational toil through a dynamic knowledge graph that persistently compounds over time. Unlike static topological maps, the knowledge graph serves as the platform’s persistent memory architecture. To build this living, persistent model, Ciroos has expanded the graph's ingestion capabilities to seamlessly fuse historical observability data, service mappings from systems of record, and eBPF (Extended Berkeley Packet Filter) with human feedback. By autonomously learning from every incident, the graph retains critical system state and tribal knowledge provided directly by human engineers. This ensures that once a problem is solved, that understanding persists permanently and never requires human input twice.
Ciroos has significantly expanded its cross-domain investigation capabilities to navigate these sprawling architectures, now boasting more than 50 active integrations (including deep new support for AWS ElastiCache, Amazon RDS, PostgreSQL, and MariaDB).
Rather than replacing existing observability tools, Ciroos acts as a connective intelligence layer. Its multi-agent architecture automatically correlates machine data from these systems with runtime telemetry and tribal knowledge captured through Ciroos User Behavior Patterns™. By bringing together this full context, Ciroos delivers accurate, automated root cause diagnosis, compounding intelligence over time and enabling customers to extract significantly more value from their existing observability investments without the need for manual troubleshooting war rooms.
“Modern site reliability in the enterprise isn’t simply a matter of using AI to crunch observability data in the hopes it will determine a root cause,” said Ronak Desai, Co-Founder & CEO of Ciroos. “It requires human context that truly understands the environment. It must look at signals from multiple data sources. It must have predictable, repeatable incident resolutions, rich auditability, and be constantly refined as infrastructure and AI models evolve. Enterprise site reliability is hard. With Signal Intelligence, persistent context, and cross-domain investigations, Ciroos aims to make it easier for enterprises on the path towards autonomous reliability.”
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