Detect AI-powered cyberattacks before they spread
DeepTempo helps security teams identify modern attacks earlier using AI-powered behavioral detection. Built to work alongside existing SIEM, NDR, and telemetry environments, DeepTempo detects attacker intent and suspicious behavioral patterns that traditional rules, signatures, and static baselines often miss.
Why traditional detection tools struggle with modern attacks
Modern attackers use automation, encryption, AI-generated infrastructure, and rapidly changing tactics to blend into normal operational activity. Traditional detection approaches built on rules, signatures, and static behavioral models often struggle to identify these attacks early enough to stop them.
Agentic attack automation
AI-powered attacks evolve faster than static rules Modern attackers rapidly change infrastructure, domains, timing, and execution patterns to avoid detection. Static signatures and manually maintained rules often cannot adapt quickly enough to keep pace.
Behavioral deception
Encrypted and low-signal attacks are harder to detect As more traffic becomes encrypted, traditional security tools lose visibility into attacker behavior. Modern attacks increasingly hide command-and-control and exfiltration activity inside legitimate operational patterns.
AI agent hijacks
AI agents create new enterprise attack surfaces AI agents increasingly interact with sensitive systems, APIs, and enterprise data. This creates new insider-risk and abuse scenarios that many traditional security controls were not designed to detect.
Signatureless malware
Modern malware no longer relies on repeatable signatures AI-generated malware can constantly modify how it behaves and appears, making traditional IOC and signature-based detection significantly less effective.
LOTL at machine speed
Attackers increasingly weaponize legitimate tools and services Modern attacks often use administrative tools, cloud infrastructure, SaaS applications, and automation to blend into normal operations and evade detection workflows.
Incident scope expansion
Modern attacks spread faster across environments AI-powered attacks can quickly move across systems, identities, APIs, and cloud infrastructure, turning isolated alerts into larger and more complex investigations.
How AI-powered threat detection works
DeepTempo analyzes operational telemetry and behavioral activity patterns to identify attacker intent earlier in the attack lifecycle. Instead of relying only on rules, signatures, or static baselines, the platform uses AI-powered behavioral analysis to detect suspicious activity across cloud, network, application, and hybrid environments.
Collects operational telemetry DeepTempo analyzes existing telemetry sources including network flow, WAF logs, application activity, cloud telemetry, and threat intelligence feeds.
Identifies attacker intent and behavioral patterns AI-powered behavioral analysis helps identify reconnaissance, credential misuse, lateral movement, command-and-control activity, and other suspicious behavior patterns that traditional detection tools often miss.
Improves detection visibility without replacing existing tools DeepTempo works alongside existing SIEM, NDR, and telemetry environments to improve threat visibility, reduce operational noise, and strengthen early attack detection.
AI-powered behavioral detection for modern cyberattacks
DeepTempo adds an AI-powered prediction and detection layer to existing security environments. Using operational telemetry and intent-based behavioral analysis, DeepTempo identifies attacker activity earlier in the attack lifecycle — including reconnaissance, credential misuse, command-and-control, and lateral movement activity that traditional tools often miss.
Accurately detects modern threats
Detect attacks earlier using behavioral and intent-based analysis DeepTempo analyzes network flow, WAF logs, application telemetry, and threat intelligence feeds to identify attacker intent and suspicious behavioral sequences. This helps improve visibility into modern attack techniques while reducing false positives.
Early warning system for attacks
Identify attacks earlier in the attack chain DeepTempo helps security teams detect reconnaissance, credential misuse, command-and-control activity, and lateral movement earlier — before attackers establish persistence or compromise critical systems.
Empowers SOC teams, reduces operational costs
Improve SOC visibility without increasing operational overhead DeepTempo works alongside existing SIEM and telemetry infrastructure to improve signal quality and reduce manual detection engineering effort without requiring constant rule tuning and maintenance.
Keeps pace with attackers, no added effort
Continuously adapts to evolving attacker behavior DeepTempo continuously adapts to new attacker techniques, operational changes, and behavioral patterns without relying on manually updated rules or signatures.
Protects everything
Unified visibility across cloud, on-prem, and critical infrastructure DeepTempo helps organizations monitor cloud, on-prem, OT, and hybrid infrastructure environments through a unified behavioral detection layer integrated with existing telemetry and data environments.
AI-powered behavioral detection that integrates into existing environments
DeepTempo integrates with existing SIEMs, NDRs, telemetry environments, and security data lakes without requiring organizations to replace their current stack. The platform improves visibility into attacker behavior while supporting deeper investigation across live and historical telemetry.
