LogLM
An AI foundation model that analyzes operational telemetry to identify suspicious behavioral patterns and detect attacker activity across cloud, on-prem, and OT environments with 99% zero-shot accuracy.
Picari insights
Enterprise SOC teams managing hybrid cloud, on-prem, and OT environments seeking AI foundation model-driven anomaly detection without extensive rule tuning.
- Detecting lateral movement across hybrid environments
- Zero-shot threat detection on raw telemetry
- Mapping novel attacker behaviors to MITRE ATT&CK
- Small teams without dedicated SOC resources to investigate complex anomalies
- Environments with low log volume where standard rule-based SIEM suffices
- Organizations requiring strictly deterministic, transparent rule-based detection
Ask about pricing, alternatives, or if LogLM is right for you.
- Personalized fit analysis
- See relevant alternatives
- Run an evaluation when you're ready
Core capabilities
Common use cases
Command-and-control channel identification
Early-stage attacker detection
East-west movement detection
Things to consider
Every product has trade-offs, and which of them matter depends on your environment, your team and your timeline.
DeepTempo LogLM pricing and integrations
For DeepTempo LogLM integration and pricing details, ask Picari. Start a briefing with your question, such as whether it connects to your SIEM, identity provider and ticketing stack, or how it is priced at your seat count and data volume.
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Profile last updated on 14 October 2026 by the vendor, DeepTempo.