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Rover AI
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Agentic SIEM for machine-speed defense at petabyte scale1-10 Employees
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Agentic SIEM for machine-speed defense at petabyte scale
Legacy SIEM economics force security teams into a dangerous compromise: choose which telemetry you can afford to investigate, or bankrupt your budget on hot-tier storage. To survive, critical data gets dropped or sampled, creating massive blind spots when an incident strikes.

Enter Rover.
Rover is an Agentic SIEM built for machine-speed attacks. We combine autonomous AI agents with an S3-native search architecture, allowing you to investigate telemetry directly from your data lake without forcing every byte into an expensive SIEM hot tier.

Why SecOps Leaders Choose Rover:
• Agentic Workflows: Rover agents do the repetitive work. They gather evidence, test hypotheses, and turn isolated alerts into complete, evidence-cited attack narratives.
• S3-Backed Investigation: Keep your searchable memory in S3. Run searches over S3-hosted indices so older and lower-frequency telemetry remains useful during incidents—drastically lowering costs.
• Adaptive Detections: Generic rules just create noise. Rover learns your behavioral baselines and adapts detections to your environment so you only see signals that actually matter.
• Machine-Speed Context: Correlate activity across identity, cloud, endpoint, and audit sources instantly.

The Rover Advantage:

The modern adversary moves too fast for manual context gathering. Rover treats alert triage as an autonomous workflow. Agents gather the evidence and propose decisions; analysts approve the response and improve defenses.

Stop dropping your telemetry. Start reasoning over it at machine speed.

Rust Backend Engineer

In office • Pune • Pune University
No equity
2 weeks ago
Suyog Kale
Avatar for Suyog Kale
Award-winning technology leader and founder launching a cybersecurity product company, backed by over 21 years of IT experience in enterprise architecture, prod
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Work-life balance