Detect and respond to today's threats faster with purpose-built AI
DeepTempo finds attacker behavior early. With LogLM, security teams map suspicious activity in their operational telemetry to MITRE ATT&CK techniques and catch threats that rules and signatures miss. With Vigil, the leading open source AI SOC, they turn those detections into investigation and response.
Brings speed, control and intelligence to your security stack
DeepTempo plugs into the telemetry, data lakes, and tools already in place. LogLM performs purpose-built detection, Vigil turns findings into analyst workflow, and SOCBench measures quality and drift.
Policy and signature rules still matter. They are no longer enough.
How AI-powered threat detection works
DeepTempo analyzes telemetry from your existing security environment to identify concerning behavioral sequences in real time. Instead of relying on manually maintained rules and static baselines, security teams detect with a foundation model pretrained across diverse environments, so detection holds as attacker techniques and operational environments evolve.
AI-powered threat detection built for modern security operations
Catches early-stage attacker intent accurately
LogLM understands what normal looks like without retraining in your environment. Security teams see attacker intent early in the kill chain, before SIEM or NDR tools can react.
Key features:
- Detects attacker intent from telemetry with extreme accuracy
- Alerts to malicious activity early in attack lifecycle
- Uncovers C2 channels and covert infrastructure, even when encrypted
- Integrates threat intelligence as an optional signal
Reveals threat context that matters
DeepTempo delivers reliable detections complete with context that SOC analysts can act on immediately. Each detection includes clear reasoning and a MITRE ATT&CK mapping, so analysts can trust the results and act faster.
Key features:
- Contextual explanations for each detection
- Sequence of events, and entities involved
- ATT&CK mapping for faster triage and response
- Vigil and other AI SOCs provide additional context
Examples of operational outcomes
The Intelligent Defense Platform generalizes across environments. LogLM starts at 99% zero-shot accuracy, and teams can adapt classifiers to new tools, workloads, and infrastructure inside their own boundary. The platform measures detection accuracy end to end, which reduces operational burden and sustains accuracy at scale.
Key features:
- 99% zero-shot accuracy on initial deployment
- You own the learning loop: LogLM, Vigil, and your workflows improve inside your boundary
- Reduces manual rule-writing, threshold tuning, and detection maintenance
- Measures detection accuracy and drift end to end
Consistent protection across every environment
DeepTempo delivers agentless threat detection across cloud, data center, remote, and OT environments. It detects east-west movement, maps communication paths automatically, and scales to petabytes of log data, so attackers cannot hide in internal traffic.
Key features:
- Visibility across logs and network telemetry in hybrid environments
- East-west detection without any agents to deploy
- Automatic communication mapping for attack path discovery
- Scales to petabyte-scale deployments
Stronger protection, lower operational costs
By operating directly on your data lake, and filtering high-value signal before it reaches your SIEM, DeepTempo cuts ingestion and storage costs without losing visibility. Detection engineers spend less time tuning and more time responding, with optional Slack-based ChatOps for rapid collaboration.
Key features:
- Smart telemetry reduction lowers SIEM cost
- No manual rule writing or retraining
- Faster investigation and resolution cycles
- Slack integration for quick analyst collaboration
Proven accuracy and scale in large enterprise environments
Examples of attack behaviors DeepTempo can identify
DeepTempo is designed to scale across large telemetry environments while maintaining fast detection response times and reducing operational overhead for security teams.
- 99% detection rates for most common TTPs (e.g. Command & Control)
- 99% zero-shot accuracy on day one, with no labels and no tuning
- 1% or fewer false positives, significantly reducing alert noise
- Sub-second detection latency across petabytes of data
- Up to 45% lower SIEM cost through telemetry reduction
Integrates with existing security infrastructure
DeepTempo works alongside existing SIEMs, NDRs, cloud environments, telemetry platforms, and security data lakes without requiring organizations to replace their existing tools.
Clear boundaries make it easy to adopt
Does DeepTempo replace the SIEM?
No. DeepTempo strengthens existing SIEM, EDR/XDR, SOAR, ticketing, and data lake workflows by adding a model-driven detection layer upstream, and it cuts low-value ingestion along the way.
Do analysts still validate the results?
Yes. LogLM detects suspicious behavior; Vigil helps analysts validate, investigate, route, and report before action is taken. Autonomy is earned step by step.
Does our data leave our environment?
No. Model weights, verdicts, and learning stay inside your environment. Bring your own cloud, run on-prem, or use your own local LLM in Vigil.
Do we need labeled data or months of tuning?
No. LogLM is pretrained on telemetry, so a Detection Assessment runs on your historical logs from day one: no labels, no training project, no waiting.