Amazon Nova 2 Lite
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- Orca Security launches Discovery AI natural-language query agent on Amazon Bedrock
Orca Security worked with AWS to build Discovery AI, which turns natural-language questions into Sonar queries over its security data graph of more than 900 cloud resource models. The system runs a nine-stage pipeline on Amazon Bedrock combining retrieval-augmented generation with schema-aware query construction: Amazon Titan embeddings recall 20 validated examples, Cohere Rerank 3.5 narrows them to five, Anthropic Claude Haiku 4.5 handles model selection and query generation, and Amazon Nova 2 Lite handles guardrails and validation, with generated filters checked statically and against Orca's Sonar API before retries. Orca says that versus an initial baseline that loaded all 900-plus model schemas into one prompt at roughly 2 million input tokens and about 60 seconds end to end, query cost fell 90 percent, input tokens 93 percent and latency 75 percent, while the system now handles thousands of queries per day at about 15 seconds.
AWS Machine Learning Blog · 🔥 0 - Cornerstone cuts database diagnosis time 78% with Bedrock-based Orion AI
Cornerstone OnDemand's Enterprise DataOps team built Orion AI, a multi-agent system on Amazon Bedrock and AWS's open-source Strands Agents framework, using a hub-and-spoke topology in which a meta-orchestrator routes work to 13 domain-specific agents, including three SQL Server diagnostics agents. According to the AWS blog post, database diagnosis time fell from about 45 minutes to 10 minutes per incident (a 78% reduction), manual lifecycle steps dropped roughly 70%, SRE-to-data-team reporting lag went from 15 minutes to real time, and redundant alerts fell by a median of 65%. A three-person team delivered the system in six months on Amazon ECS, with Amazon Bedrock AgentCore providing cross-session memory.
AWS Machine Learning Blog · 🔥 0
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