Collective Deep Learning ForBanking.
Collective Deep Learning ForBanking.

DeepTempo

Finance & Banking

Tempo is a multi-level defensive solution that connects to every part of your security stack from detection to remediation reducing the frequency and impact of breaches to:


  • Reduce alert fatigue

  • Catch net now and AI driven attacks

  • Reduce incident recovery time

  • SIM cost optimization

  • Reduce Mean Time to Detect (MTTD)


Industry Brief Here

Finance

Telecom

Tech

Gov

Finance & Banking

Tempo is a multi-level defensive solution that connects to every part of your security stack from detection to remediation reducing the frequency and impact of breaches to:


  • Reduce alert fatigue

  • Catch net now and AI driven attacks

  • Reduce incident recovery time

  • SIM cost optimization

  • Reduce Mean Time to Detect (MTTD)


Industry Brief Here

Finance

Telecom

Tech

Gov

Finance & Banking

Tempo is a multi-level defensive solution that connects to every part of your security stack from detection to remediation reducing the frequency and impact of breaches to:


  • Reduce alert fatigue

  • Catch net now and AI driven attacks

  • Reduce incident recovery time

  • SIM cost optimization

  • Reduce Mean Time to Detect (MTTD)


Industry Brief Here

Finance

Telecom

Tech

Gov

Finance & Banking

Tempo is a multi-level defensive solution that connects to every part of your security stack from detection to remediation reducing the frequency and impact of breaches to:


  • Reduce alert fatigue

  • Catch net now and AI driven attacks

  • Reduce incident recovery time

  • SIM cost optimization

  • Reduce Mean Time to Detect (MTTD)


Industry Brief Here

Finance

Telecom

Tech

Gov

  • Data Ingestion and Parsing

    Morpheus ingests high-volume logs (e.g., NetFlow), while RAPIDS (cuDF, cuML) provides adaptive, GPU-accelerated parsing—keeping data on the GPU for maximum throughput and real-time speed.

  • Pretraining

    Utilizing NVIDIA clusters (DGX servers or GPU-enabled data centers) and containers from NVIDIA NGC, we harness CUDA 

    and cuDNN to pretrain Tempo LogLM on vast corpora of security logs—ensuring a robust foundation for threat detection.

  • Fine Tuning

    We adapt Tempo LogLM to specific organizations or new security patterns using multi-GPU fine tuning (PyTorch, TensorFlow, etc.), accelerating updates with CUDA and NCCL.

  • Inference

    NVIDIA Triton Inference Server or NVIDIA Inference Microservices (NIM) deliver real-time threat detection—optimized with TensorRT for lightning-fast, GPU-accelerated inference on-prem or in the cloud.

  • Data Security

    Run where the data is, on premises or cloud, to reduce data risk by bringing intelligence to the data

  • Cost Savings

    Only send incidents to your SIEM, reducing data volumes and resulting in significant cost savings

  • Freedom from Lock-in

    Integrate with existing data lake, reducing vendor dependency while creating modular security solutions that adapt to your needs

  • Click to Try

    Get started within minutes, with rapid production deployment. Available on the Snowflake Marketplace now

Finance & Banking

Tempo is a multi-level defensive solution that connects to every part of your security stack from detection to remediation reducing the frequency and impact of breaches to:


  • Reduce alert fatigue

  • Catch net now and AI driven attacks

  • Reduce incident recovery time

  • SIM cost optimization

  • Reduce Mean Time to Detect (MTTD)


Industry Brief Here

Finance

Telecom

Tech

Gov

Finance & Banking

Tempo is a multi-level defensive solution that connects to every part of your security stack from detection to remediation reducing the frequency and impact of breaches to:


  • Reduce alert fatigue

  • Catch net now and AI driven attacks

  • Reduce incident recovery time

  • SIM cost optimization

  • Reduce Mean Time to Detect (MTTD)


Industry Brief Here

Finance

Telecom

Tech

Gov

  • Data Security

    Run where the data is, on premises or cloud, to reduce data risk by bringing intelligence to the data

  • Cost Savings

    Only send incidents to your SIEM, reducing data volumes and resulting in significant cost savings

  • Freedom from Lock-in

    Integrate with existing data lake, reducing vendor dependency while creating modular security solutions that adapt to your needs

  • Click to Try

    Get started within minutes, with rapid production deployment. Available on the Snowflake Marketplace now

  • Data Ingestion and Parsing

  • Pretraining

    Utilizing NVIDIA clusters (DGX servers or GPU-enabled data centers) and containers from NVIDIA NGC, we harness CUDA and cuDNN to pretrain Tempo LogLM on vast corpora of security logs—ensuring a robust foundation for threat detection.

  • Fine Tuning

  • Inference

Your systems speak in logs.

LogLM's ensure you finally understand what they're saying.

Why LogLM's?

Why LogLM's?

While traditional log management systems drown IT teams in noise and false alerts, LogLM's advanced language model architecture instantly identifies genuine threats, performance bottlenecks, and system anomalies across your entire infrastructure—from cloud environments to edge devices.


Think of it as having a cybersecurity expert and systems architect working 24/7, automatically correlating millions of log entries per second to surface only the insights that matter. With LogLM, what used to take hours of manual investigation now happens in milliseconds.

While traditional log management systems drown IT teams in noise and false alerts, LogLM's advanced language model architecture instantly identifies genuine threats, performance bottlenecks, and system anomalies across your entire infrastructure—from cloud environments to edge devices.


Think of it as having a cybersecurity expert and systems architect working 24/7, automatically correlating millions of log entries per second to surface only the insights that matter. With LogLM, what used to take hours of manual investigation now happens in milliseconds.

Your systems speak in logs.

LogLM's ensure you finally understand what they're saying.

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

  • 2025-07-28T12:00:06Z, 10.0.0.9, 51111, 192.168.1.40, 22, TCP, 10, 800, 1.1, SSH

  • 2025-07-28T12:00:09Z, 10.1.1.1, 34567, 172.16.1.1, 3306, TCP, 9, 720, 1.6, MySQL

  • 2025-07-28T12:00:08Z, 192.168.0.10, 34001, 192.168.0.10, 21, TCP, 14, 1100, 2.0, FTP

  • 2025-07-28T12:00:15Z, 10.0.0.6, 60123, 192.168.1.50, 25, TCP, 4, 400, 0.8, SMTP

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505,10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

  • 2025-07-28T12:00:22Z, 10.0.0.4, 30201, 192.168.1.22, 443, TCP, 25, 3600, 2.4, HTTPS

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505, 10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

  • 2025-07-28T12:00:09Z, 10.1.1.1, 34567, 172.16.1.1, 3306, TCP, 9, 720, 1.6, MySQL

    Command

    & Control

  • 2025-07-28T12:00:08Z, 192.168.0.10, 34001, 192.168.0.10, 21, TCP, 14, 1100, 2.0, FTP

  • 2025-07-28T12:00:15Z, 10.0.0.6, 60123, 192.168.1.50, 25, TCP, 4, 400, 0.8, SMTP

    Exfiltration

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505,10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

    Privilege Escalation

  • 2025-07-28T12:00:22Z, 10.0.0.4, 30201, 192.168.1.22, 443, TCP, 25, 3600, 2.4, HTTPS

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505, 10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

    Persistance

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

  • 2025-07-28T12:00:06Z, 10.0.0.9, 51111, 192.168.1.40, 22, TCP, 10, 800, 1.1, SSH

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

  • 2025-07-28T12:00:06Z, 10.0.0.9, 51111, 192.168.1.40, 22, TCP, 10, 800, 1.1, SSH

  • 2025-07-28T12:00:09Z, 10.1.1.1, 34567, 172.16.1.1, 3306, TCP, 9, 720, 1.6, MySQL

  • 2025-07-28T12:00:08Z, 192.168.0.10, 34001, 192.168.0.10, 21, TCP, 14, 1100, 2.0, FTP

  • 2025-07-28T12:00:15Z, 10.0.0.6, 60123, 192.168.1.50, 25, TCP, 4, 400, 0.8, SMTP

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505,10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

  • 2025-07-28T12:00:22Z, 10.0.0.4, 30201, 192.168.1.22, 443, TCP, 25, 3600, 2.4, HTTPS

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505, 10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

  • 2025-07-28T12:00:09Z, 10.1.1.1, 34567, 172.16.1.1, 3306, TCP, 9, 720, 1.6, MySQL

    Command

    & Control

  • 2025-07-28T12:00:08Z, 192.168.0.10, 34001, 192.168.0.10, 21, TCP, 14, 1100, 2.0, FTP

  • 2025-07-28T12:00:15Z, 10.0.0.6, 60123, 192.168.1.50, 25, TCP, 4, 400, 0.8, SMTP

    Exfiltration

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505,10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

    Privilege Escalation

  • 2025-07-28T12:00:22Z, 10.0.0.4, 30201, 192.168.1.22, 443, TCP, 25, 3600, 2.4, HTTPS

  • 2025-07-28T12:00:18Z, 192.168.1.1, 50505, 10.0.0.1, 22, TCP, 18, 2000, 4.1, SSH

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

    Persistance

  • 2025-07-28T12:00:01Z,

    10.0.0.5,49321, 192.168.1.20, 80, TCP, 15, 1200, 3.2, HTTP

  • 2025-07-28T12:00:06Z, 10.0.0.9, 51111, 192.168.1.40, 22, TCP, 10, 800, 1.1, SSH

While traditional log management systems drown IT teams in noise and false alerts, LogLM's advanced language model architecture instantly identifies genuine threats, performance bottlenecks, and system anomalies across your entire infrastructure—from cloud environments to edge devices.


Think of it as having a cybersecurity expert and systems architect working 24/7, automatically correlating millions of log entries per second to surface only the insights that matter. With LogLM, what used to take hours of manual investigation now happens in milliseconds.

See The DeepTempo Difference In Our Whitepaper

See The DeepTempo Difference In Our Whitepaper

Here
Here

Available on Kubernetes, Snowflake & More.


Available on Kubernetes, Snowflake & More.


Available on Kubernetes, Snowflake & More.


Available on Kubernetes, Snowflake & More.


Empowering SOC teams with real-time collective AI-defense and deep learning to stop breaches faster.

Built by engineers and operators who’ve lived the challenges of security operations, we deliver open, AI-native software that runs on any data lake—freeing teams from legacy constraints. Our LogLMs return control to defenders, enabling faster, smarter, and more collaborative responses to cyber threats.

© DeepTempo.ai 2025. All Rights Reserved.

Logo

Empowering SOC teams with real-time collective AI-defense and deep learning to stop breaches faster.

Built by engineers and operators who’ve lived the challenges of security operations, we deliver open, AI-native software that runs on any data lake—freeing teams from legacy constraints. Our LogLMs return control to defenders, enabling faster, smarter, and more collaborative responses to cyber threats.

© DeepTempo.ai 2025. All Rights Reserved.

Logo

Empowering SOC teams with real-time collective AI-defense and deep learning to stop breaches faster.

Built by engineers and operators who’ve lived the challenges of security operations, we deliver open, AI-native software that runs on any data lake—freeing teams from legacy constraints. Our LogLMs return control to defenders, enabling faster, smarter, and more collaborative responses to cyber threats.

© DeepTempo.ai 2025. All Rights Reserved.

Logo

Empowering SOC teams with real-time collective AI-defense and deep learning to stop breaches faster.

Built by engineers and operators who’ve lived the challenges of security operations, we deliver open, AI-native software that runs on any data lake—freeing teams from legacy constraints. Our LogLMs return control to defenders, enabling faster, smarter, and more collaborative responses to cyber threats.

© DeepTempo.ai 2025. All Rights Reserved.

Logo