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Teceze implemented AI-driven threat detection and automated incident response for NetSecure's security operations centre, reducing security incident response time by 85% through machine-speed threat identification and containment across the enterprise environment.

About the Client

NetSecure is a regional managed security services provider (MSSP) protecting 300+ mid-market and enterprise customers across infrastructure, applications, and endpoints. They manage 40,000+ security events daily and serve industries including retail, manufacturing, and insurance. The organization operates a Security Operations Center (SOC) where analyst burnout from alert fatigue was undermining threat detection effectiveness.

At a glance

Industry
Cybersecurity, Managed Security Services
Headquarters
Denver, Colorado
Products & services
SOC operations, threat detection, incident response, endpoint security, SIEM monitoring
Challenge
Alert fatigue (400+ daily alerts), 4.2-hour mean time to respond (MTTR), 73% false positive rate, three significant breaches in 2024 resulting in $1.8M in customer claims

Success highlights

  • 85% Faster incident response, from 4.2 hours to 38 minutes
  • 73% Reduction in false positive rate
  • 80% Reduction in manual triage work
  • 4 hours Threat containment time, reduced from 48 hours
  • Zero Undetected breaches since Phase 2 deployment
  • 81% Analyst satisfaction improvement

The challenge

Corporate meeting

Alert Fatigue Destroying SOC Effectiveness and Enabling Breaches

The constraint: 400+ daily alerts, 73% false positive rate, 4.2-hour mean time to respond

NetSecure’s SOC generated 400+ daily alerts across 300 customers. Analysts spent 80% of their time chasing false positives and low-severity events, leaving little bandwidth to focus on genuine threats. With a 73% false positive rate, the signal-to-noise ratio had degraded to the point where real incidents were routinely buried in the queue.

Mean Time to Respond (MTTR) averaged 4.2 hours. By the time serious threats were investigated, attackers had already established lateral movement and persistence—a gap that contributed to three significant breaches in 2024, resulting in $1.8M in customer claims and eroding confidence in the SOC’s ability to protect the environments it monitored.

Our approach

Structured Delivery Enabling SOC Transformation Through AI-Driven Threat Detection and Behavioral Analytics

Security Operations Centers managing 300+ customers face a critical challenge: alert fatigue from 400+ daily alerts prevents effective threat detection while analyst burnout drives team attrition. Teceze’s approach to NetSecure’s SOC modernization prioritized AI-powered threat detection, automated triage and response, behavioral analytics, and 24/7 threat hunting—delivering a model where AI automation enables security excellence without operator burnout. Teceze implemented a comprehensive SOC transformation strategy prioritizing intelligence and human well-being: deployed machine learning models trained on 50+ million historical alerts detecting anomalies with 98% accuracy, built automated triage and response playbooks investigating and remediating alerts without human involvement, integrated behavioral analytics enabling per-customer baselines and insider threat detection, and deployed 24/7 threat hunting automation continuously scanning for indicators of compromise and attack patterns.

From challenge to transformation, the solution included:

AI-Powered Threat Detection, 98% Accuracy

Machine learning models trained on 50+ million historical alerts learn per-customer baselines for behavior and traffic, identifying deviations automatically and reducing 400+ daily alerts to actionable, high-confidence threats.

Automated Triage and Response Playbooks

Automated playbooks investigate and enrich alerts without analyst involvement—low-confidence alerts are suppressed, medium-confidence alerts auto-remediated, and high-confidence alerts escalate with complete investigation data.

Behavioral Analytics and User Risk Scoring

Identity and access logs detect behavioral anomalies—unusual login times, impossible travel, privilege escalation, data exfiltration—with real-time risk scores enabling early detection of insider threats and compromised accounts.

24/7 Threat Hunting Automation

An automated threat hunter continuously scans for indicators of compromise and known attack signatures across all 300 customers, proactively surfacing threats that reactive response alone would miss.

Governance and Reporting Cadence

For a SOC serving 300 customers with varying security requirements, governance must balance rapid incident response with thorough investigation and customer communication:

Cadence Forum Focus
Real-Time Incident response High-priority alerts, active incidents, automated remediation actions, analyst escalations
Daily SOC stand-up Critical incidents, threat landscape changes, overnight activity, analyst capacity planning
Weekly Threat intelligence Emerging threats, detection accuracy, false positive trends, model performance review
Monthly Leadership review MTTR improvements, incident trends, customer satisfaction, analyst burnout metrics, capability roadmap
The Results: 9 Months In

85% Faster Incident Response, Zero Undetected Breaches Since Phase 2

85%MTTR Improvement
73%False Positive Reduction
80%Manual Triage Reduction
4 HoursThreat containment time, reduced from 48 hours
ZeroUndetected breaches since Phase 2 deployment
81%Analyst satisfaction improvement, from 42% baseline

What the client says

“We went from fighting fires to being strategic defenders. Our team now hunts threats instead of chasing false alarms. One customer said, ‘Your security posture is why we renewed our contract’—that’s never happened before. This platform is our competitive edge.”

— Chief Security Officer, NetSecure

Delivery partnership

How Teceze Executes on This Engagement

Teceze embedded security engineers and data scientists within NetSecure’s SOC for 6 months. Conducted daily model performance reviews, trained the team on AI-driven detection, and progressively transferred ownership of platform management. By month 9, NetSecure’s internal team was fully autonomous in managing and optimizing the platform while Teceze provided ongoing model refinement and threat intelligence integration.

Looking ahead

Post-Engagement Value and Ongoing Partnership

The expertise in AI-driven threat detection, behavioral analytics, and SOC transformation continues to drive value beyond initial platform deployment. The strategic partnership ensures sustained threat detection excellence, seamless evolution of AI models with emerging threats, and continuous security innovation aligned with threat landscape changes.

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