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Cybersecurity

Cut through the noise. Focus on real threats.

SOC teams are drowning in alerts, and most of them are false positives. ZAAI builds custom AI that triages alerts, identifies real threats, and automates incident response workflows.

80%+
Alert triage automation
60-75%
False positive reduction
-50%
Mean time to respond
15+ hrs/week
Analyst time recovered

The challenges we see

Alert fatigue

SOC teams face thousands of daily alerts. Most are false positives, but each one needs to be checked. Real threats get buried in noise.

Slow response times

Manual triage and investigation take hours. Attackers move in minutes. The gap between detection and response is too wide.

Staffing shortages

There aren't enough security analysts to hire. The ones you have are burned out from repetitive, low-value triage work.

Disconnected tools

SIEM, EDR, firewall, cloud logs: each generates its own alerts. Correlating across tools to see the full picture is manual and slow.

How we solve it

01

Automated alert triage

AI that classifies and prioritizes alerts based on context, history, and threat intelligence, not just rule-based scoring

  • Multi-source alert correlation and deduplication
  • Contextual risk scoring based on asset criticality
  • Historical pattern matching for known attack types
  • Automatic escalation of high-confidence threats
02

Threat detection models

Custom ML models trained on your environment to detect anomalies and attack patterns that generic tools miss

  • Behavioral anomaly detection for users and systems
  • Lateral movement and privilege escalation detection
  • Custom models tuned to your specific threat landscape
  • Continuous learning from analyst feedback
03

Incident response automation

Automated playbooks that contain threats, collect evidence, and notify stakeholders, reducing mean time to respond

  • Automated containment actions (isolate host, block IP)
  • Evidence collection and timeline reconstruction
  • Stakeholder notification and escalation workflows
  • Post-incident reporting and trend analysis

What you get

80%+ of alerts triaged automatically

Analysts focus on real threats, not repetitive noise

60-75% fewer false positives surfaced

Better signal-to-noise ratio means faster, more confident decisions

50% faster mean time to respond

Automated containment and investigation close the detection-response gap

15+ analyst hours recovered per week

Your team spends time on strategy and threat hunting, not manual triage

Talk to us about Cybersecurity.

See how it works for cybersecurity