Home
News
Tech Grid
Data & Analytics
Data Processing Data Management Analytics Data Infrastructure Data Integration & ETL Data Governance & Quality Business Intelligence DataOps Data Lakes & Warehouses Data Quality Data Engineering Big Data
Enterprise Tech
Digital Transformation Enterprise Solutions Collaboration & Communication Low-Code/No-Code Automation IT Compliance & Governance Innovation Enterprise AI Data Management HR
Cybersecurity
Risk & Compliance Data Security Identity & Access Management Application Security Threat Detection & Incident Response Threat Intelligence AI Cloud Security Network Security Endpoint Security Edge AI
AI
Ethical AI Agentic AI Enterprise AI AI Assistants Innovation Generative AI Computer Vision Deep Learning Machine Learning Robotics & Automation LLMs Document Intelligence Business Intelligence Low-Code/No-Code Edge AI Automation NLP AI Cloud
Cloud
Cloud AI Cloud Migration Cloud Security Cloud Native Hybrid & Multicloud Cloud Architecture Edge Computing
IT & Networking
IT Automation Network Monitoring & Management IT Support & Service Management IT Infrastructure & Ops IT Compliance & Governance Hardware & Devices Virtualization End-User Computing Storage & Backup
Human Resource Technology Agentic AI Robotics & Automation Innovation Enterprise AI AI Assistants Enterprise Solutions Generative AI Regulatory & Compliance Network Security Collaboration & Communication Business Intelligence Leadership Artificial Intelligence Cloud
Finance
Insurance Investment Banking Financial Services Security Payments & Wallets Decentralized Finance Blockchain Cryptocurrency
HR
Talent Acquisition Workforce Management AI HCM HR Cloud Learning & Development Payroll & Benefits HR Analytics HR Automation Employee Experience Employee Wellness Remote Work Cybersecurity
Marketing
AI Customer Engagement Advertising Email Marketing CRM Customer Experience Data Management Sales Content Management Marketing Automation Digital Marketing Supply Chain Management Communications Business Intelligence Digital Experience SEO/SEM Digital Transformation Marketing Cloud Content Marketing E-commerce
Consumer Tech
Smart Home Technology Home Appliances Consumer Health AI Mobile
Interviews
Anecdotes
Think Stack
Press Releases
Articles
  • Data Security

Commvault Partners with Pinecone for AI Vector Resilience


Commvault Partners with Pinecone for AI Vector Resilience
  • by: Source Logo
  • |
  • December 19, 2025

Commvault has partnered with Pinecone to enhance cyber resilience for vector retrieval workloads essential to retrieval-augmented generation (RAG) and AI applications. This collaboration extends Commvault's unified platform to protect Pinecone's vector databases, providing immutable backups and rapid recovery without compromising performance.

Quick Intel

  • Adds resilience for vector data in AI workloads on top of Pinecone's native backups.
  • Enables immutable backups, point-in-time recovery, and extended retention.
  • Supports compliance with encrypted, air-gapped, auditable copies.
  • Protects against data poisoning, deletion, and AI-specific attacks.
  • Unified protection across AWS, Azure, Google Cloud, and multi-cloud environments.
  • Minimizes downtime for RAG inference and maintains AI application quality.

Enhancing Protection for Mission-Critical Vector Data

Vector databases like Pinecone power modern AI by storing numerical representations of content relationships, enabling accurate, context-aware responses during training and inference. As these become foundational to enterprise AI, regulated industries require robust safeguards against corruption, attacks, or loss.

The partnership addresses this by layering Commvault's advanced capabilities over Pinecone's durable storage, offering enterprises a single platform for managing resilience across cloud and on-premises environments.

Core Features and Compliance Support

The solution delivers key protections via Commvault Cloud:

  • Accelerated point-in-time recovery to restore vector indexes quickly, reducing downtime and preserving RAG performance.
  • Defense against threats like data poisoning or evasion through encrypted, immutable, air-gapped backups for clean restores.
  • Consistent resilience across major clouds, simplifying management in multi-cloud setups.
  • Indelible records for governance, regulatory compliance, and audits in AI workflows.

This enables organizations to transition RAG systems to reliable production scale with enterprise-grade security.

Leadership Perspectives on the Partnership

Pranay Ahlawat, Chief Technology and AI Officer at Commvault, stated: "As enterprises embed AI deeper into their operations and leverage RAG, the vector database layer has become mission-critical; increasingly, these organizations seek additional layers of protection and compliance beyond their already highly durable systems. With Pinecone, we are closing that protection gap. We're enabling AI stacks to operate with the same confidence, governance, and recoverability that traditional workloads demand."

Jeff Zhu, VP Product at Pinecone, added: "Pinecone is built for performance and scale, and our customers trust us with their most critical AI assets. Partnering with Commvault allows us to offer an even deeper level of resilience for organizations with complex compliance needs."

This integration strengthens AI resilience, supporting safe adoption in compliance-heavy sectors while maintaining low-latency query performance.

 

About Commvault

Commvault (NASDAQ: CVLT) is a leader in unified resilience at enterprise scale. In a constantly evolving threat landscape, Commvault keeps customers ready by unifying data security, identity resilience, and cyber recovery, on one cloud-native, AI-enabled platform. Customers trust Commvault to conduct the fastest, most complete recoveries – not just their data, but their entire business. Purpose-built for the agentic enterprise, Commvault also enables organizations to safely embrace AI while protecting against AI-driven threats.

  • Cyber ResilienceAI Data ProtectionCloud Security
News Disclaimer
  • Share