{"type":"post","id":"natural-language-security-queries-at-orca-security-using-e6d046","slug":"natural-language-security-queries-at-orca-security-using-e6d046","title":"Natural language security queries at Orca Security using Amazon Bedrock","description":"From language to a bounded query interface Thesis Orca’s case illustrates how a model interface becomes operationally useful when it emits a structured domain query rather than a free-form answer. The system translates natural-language questions into Sonar filters making the","retrieval_nugget":"From language to a bounded query interface Thesis Orca’s case illustrates how a model interface becomes operationally useful when it emits a structured domain query rather than a free-form answer. The system translates natural-language questions into Sonar filters making the","published_at":"2026-10-14","updated_at":"2026-10-14","record_date":"2026-10-14","date_kind":"published_at","topics":[],"source_urls":["https://aws.amazon.com/blogs/machine-learning/natural-language-security-queries-at-orca-security-using-amazon-bedrock"],"schema_version":"newruntime-agent-readable-v0.2","stable_id":"post:natural-language-security-queries-at-orca-security-using-e6d046","status":"published","visuals":[],"editorial_provenance":{"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:dfd871aa8dc27a9286f678f8c428c5bb570b2ad25f0d6ac569ba198c52bf8b94","reviewed_at":"2026-10-14T04:04:34.571Z","source_evidence_count":1,"verified_claim_count":2,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":2,"implication_count":2,"watch_condition_count":1,"related_record_count":0},"analysis":{"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"Orca’s case illustrates how a model interface becomes operationally useful when it emits a structured domain query rather than a free-form answer.","observed_facts":[{"text":"Sonar covers more than 900 cloud infrastructure and application resource models and supports 18 operators.","source_urls":["https://aws.amazon.com/blogs/machine-learning/natural-language-security-queries-at-orca-security-using-amazon-bedrock"]},{"text":"The initial proof of concept used roughly 2 million input tokens per workload and took about 60 seconds; AWS says the production pipeline handles thousands of queries daily at about 15 seconds.","source_urls":["https://aws.amazon.com/blogs/machine-learning/natural-language-security-queries-at-orca-security-using-amazon-bedrock"]}],"mechanism":"Orca combines retrieval-augmented generation with schema-aware query construction in a multi-stage pipeline, matching stages to different Bedrock models. This narrows the output contract from an open-ended response to a query that can be applied to Sonar.","why_now":"The case addresses a practical interface bottleneck: analysts need to explore a complex cloud graph without learning its schema and query operators first.","implications":["The useful design move is to treat the generated query as a task interface whose validity can be evaluated against the receiving system, rather than treating fluency as success.","AWS reports 90% lower query cost, 93% fewer input tokens, and 75% lower latency versus Orca’s initial baseline."],"evidence_boundary":"These are figures in an AWS customer case study, comparing the deployed approach with the initial proof of concept; they are not independently audited results, and the supplied account does not establish production accuracy rates.","watch_conditions":["Look for published query-validity and correction rates, plus evaluation across complex multi-model questions, to determine whether the efficiency gains preserve reliable results."],"related_records":[],"new_branch_reason":"No prior New Runtime record is supplied for this specific customer implementation; this opens a distinct record on natural-language-to-security-query interfaces."},"editor":{"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"routes":{"html":"https://newruntime.com/posts/natural-language-security-queries-at-orca-security-using-e6d046/","markdown":"https://newruntime.com/posts/natural-language-security-queries-at-orca-security-using-e6d046.md","json":"https://newruntime.com/posts/natural-language-security-queries-at-orca-security-using-e6d046.json"},"next_reads":[{"type":"collection","path":"/posts/","url":"https://newruntime.com/posts/","title":"Field Notes","reason":"Open the latest editorial analysis.","media_type":"text/html","json_url":"https://newruntime.com/posts.json"},{"type":"collection","path":"/source-ledger.json","url":"https://newruntime.com/source-ledger.json","title":"Source Ledger","reason":"Inspect the public source evidence graph.","media_type":"application/json"}]}