Users manually pieced together anomaly data during cyberattacks. Now, a multi-agent AI investigates telemetry and guides recovery.
A cloud-based data security provider trusted by 75 of the Fortune 500 helps over 7,500 customers safeguard their operations and recover from cyber threats.
Customers previously had to manually piece together insights from multiple sources to understand anomalous data during high-stress security...
“It was a very manual process that involved lots of people. Virtually any cyberattack in a company would become a high-stress situation.”
SaaS platform for cloud data protection, backup, and cyber resilience.
Cloud computing platform and on-demand infrastructure services.
Druva's Incident response is part of this use case:
Related implementations across industries and use cases
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Users manually pieced together anomaly data during cyberattacks. Now, a multi-agent AI investigates telemetry and guides recovery.
A cloud-based data security provider trusted by 75 of the Fortune 500 helps over 7,500 customers safeguard their operations and recover from cyber threats.
Customers previously had to manually piece together insights from multiple sources to understand anomalous data during high-stress security...
“It was a very manual process that involved lots of people. Virtually any cyberattack in a company would become a high-stress situation.”
SaaS platform for cloud data protection, backup, and cyber resilience.
Cloud computing platform and on-demand infrastructure services.
Druva's Incident response is part of this use case:
Related implementations across industries and use cases
Sandboxed Python wrappers bottlenecked parsing. Claude Code migrated the 50k-line library to Go in 20 hours, doubling production speed.
Staff scoured dispersed docs to answer technical queries. An AI now scans internal data to provide answers in under a minute.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.