AI-Powered Search and Recovery
Description
During cloud migration (AWS EVS) and disaster recovery operations, locating specific data across backup snapshots, identifying clean recovery points, and performing forensic analysis of backup data requires significant manual effort and specialized knowledge of backup infrastructure.
Detailed example
AI assistant providing natural language search, classification, and summarization across Cohesity Data Cloud backup data. Includes: (1) Conversational search — natural language queries against unstructured data in backup snapshots, (2) AI-powered threat detection — continuous anomaly scanning of backup data for ransomware indicators and insider threats, (3) Recovery intelligence — intelligent recovery point recommendations with blast radius analysis. Input: natural language queries, backup data snapshots, threat intelligence feeds. Output: search results with citations, anomaly alerts, recovery recommendations, data classification reports. All recovery actions require human authorization.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
AI-powered conversational search across enterprise backup data enables faster data discovery during recovery operations, reduces time-to-recovery during cyber incidents, and supports forensic investigation by allowing natural language queries against unstructured backup data. SaaS deployment model reduces operational overhead for backup infrastructure management during AWS EVS migration.
Audit / financial statement impact
Not high impact: This AI system does not meet the criteria of any of the six pillars that make up High Impact AI in Memorandum M-25-21.
Controls / human review
ATO: Yes; PIA: Not publicly available
Data needed
Commercial vendor-managed AI models. Gaia uses LLM models (Google Gemini or Azure OpenAI) to process queries against agency backup data. No agency data is used for model training.