Stop modern cyberattacks early
DeepTempo revolutionizes threat detection with a deep learning foundation model that is purpose-built to detect modern attacks in-flight, from AI-driven campaigns that evade traditional methods to routine threats that your current tools miss.
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: breaches no one saw coming.
Adaptive + fast moving
Augmented by AI, attackers change infrastructure, domains, and tactics in hours. They test defenses, learn quickly, and evolve faster than rules can update.
Signatureless
There are no fixed indicators of attack anymore. Each attack looks different, leaving rule- and signature-based tools chasing what’s already over.
Living off the land (LOTL)
Attackers use tools you already trust – admin utilities, AI agents, and cloud services — to escalate, persist, execute commands, and steal data without raising alarms.
Low and slow
Modern attacks unfold gradually with small actions spread over days or weeks. Small, isolated actions appear harmless until they form a coordinated breach.
Hidden in encrypted traffic
Most enterprise traffic is encrypted. Attackers exploit that cover to hide malicious activities like C2 and data exfiltration inside what looks like legitimate communication.
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 operational behavior 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 Detections without outdated rules, signatures, or ML models mean fewer false positives and stronger defense.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 works across the cloud, security, and AI platforms powering enterprise defense, strengthening your current stack without rip-and-replace. Deployed on leading cloud platforms, interoperable with enterprise security tools, and accelerated by GPU-powered AI infrastructure.
