Catch attacks your NDR + SIEM can't
DeepTempo uses a deep learning foundation model to continuously analyze your network flow to detect cyberattacks at their earliest stage, including AI-driven attacks and routine threats your current tools will never surface.
Cyberattacks have evolved. Detection hasn’t.
Attacks today are fast, stealthy, and adaptive, blending techniques across systems and hiding in normal traffic. Defenses built on rules, signatures, and static anomaly models can’t keep up. The result: extreme noise, undetected breaches, and high SOC costs.
Agentic attack automation
Attackers rotate infrastructure, domains, and tactics in hours. They test defenses, learn quickly, and evolve faster than you can update your detection rules.
Behavioral deception
With traffic encrypted, detection relies on behavioral signals. AI attacks now shape those signals, obscuring critical stages like C2 and exfiltration in plain sight.
AI agent hijacks
Enterprise AI agents access critical systems and data. They create a new insider-risk surface that traditional identity and endpoint controls were never designed for.
Signatureless malware
AI enables polymorphic attacks that change every time they run. Without stable indicators, rule- and IOC-based detection falls behind by design.
LOTL at machine speed
Automation lets attackers weaponize your own admin tools, cloud services, and SaaS APIs. Living off the land now happens faster than manual detection and response can track.
Incident scope expansion
Attacks move faster and touch more systems, identities, and APIs in minutes.What used to be a contained alert now becomes a multi-surface investigation
The new foundation for threat detection
DeepTempo is a breakthrough AI for threat detection. Powered by our deep reasoning foundation model (LogLM) purpose-built to learn how your systems routinely operate, it detects malicious intent at its earliest stages, exposing stealthy attacks that evade conventional defenses.
Detects evasive and AI-powered threats
Analyzes live network flow traffic to detect real cyberattacks hiding in normal activity, early. Detections without outdated rules, signatures, or ML models mean fewer false positives and stronger defense.
Early warning system for attacks
Detects threats before the boom by recognizing malicious intent such as reconnaissance, C2, credential access, etc. early in the kill chain, before your systems are actually exploited.
Reduces data and operational costs
Intelligently limits the amount of data necessary to store for context, reducing your SIEM data storage. Self-learning foundation model saves your detection engineering from additional rule writing or model maintenance.
Stays ahead of attackers
Learns from every environment it protects, with LogLM learning from new behaviors and attack patterns. This shared intelligence anticipates attacker moves and evolves faster than the threats it’s built to stop.
Protects everything
Defends every part of your environment — cloud, on-prem, OT, and critical systems. DeepTempo unifies visibility across hybrid environments and physical infrastructure, closing gaps in your current detection chain.
Built for modern enterprise ecosystems
DeepTempo strengthens your detection stack without rip-and-replace. Deployed on leading cloud platforms, it is interoperable with your NDRs, SIEMs, and security data lakes.
