THE AI FOR THREAT DETECTION

Stop AI attacks 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.

Protecting business operations at
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your challenge

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.

meet DeepTempo

The new foundation for threat detection

DeepTempo is a breakthrough AI for threat detection. Powered by our deep learning 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.

Accurately detects modern 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 Detections without outdated rules, signatures, or ML models mean fewer false positives and stronger defense.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.

Empowers SOC teams, reduces operational costs

Self-learning foundation model saves your detection engineering from additional rule writing or model maintenance. Rich context enables rapid scope analysis and investigation. Flow preprocessing cuts your SIEM data storage.

Keeps pace with attackers, no added effort

Learns from every environment it protects, continuously adapting to new behaviors and attack patterns. This shared intelligence keeps defenders current with new attacker tactics and evolving threats.

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.

Diagram showing DeepTempo as a central red hub connected to multiple outer nodes, representing different client instances protected by the software and sending learned threat intelligence back to the cloud.
Our ECOSYSTEM

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.

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