Managed Cloud & Managed Security Powered by AIOps
KT MCS-AIOps is Knowtifics’ unified Managed Cloud and Managed Security solution, enhanced with AIOps-driven proactive monitoring.
We help organizations predict, prevent, and resolve issues faster by combining 24/7 managed services with AI-powered intelligence.
Why KT MCS-AIOps Matters
Modern IT environments are complex — multi-cloud, containerized, and security-critical.
Traditional monitoring tools generate noise, delay response, and leave security gaps.
KT MCS-AIOps shifts operations from reactive to predictive by using AI and machine learning to continuously analyze infrastructure, application, and security data.
Key Challenges We Solve
- Alert fatigue and false positives
- Slow incident detection and resolution
- Limited visibility across cloud & security layers
- Reactive security operations
- Increasing operational costs
What is KT MCS-AIOps
KT MCS-AIOps is an intelligent operations framework that applies AI/ML to logs, metrics, events, and traces to deliver:
- Early anomaly detection
- Intelligent signal correlation
- Automated root cause analysis (RCA)
- Predictive insights and proactive remediation
It integrates with your existing monitoring and security tools to enhance intelligence — not replace investments.
Core Capabilities
Managed Cloud Operations
End-to-end management of cloud infrastructure ensuring availability, performance, and cost efficiency.
Capabilities
- 24/7 infrastructure & platform monitoring
- Incident, problem, and change management
- Patch management & backups
- Capacity & performance optimization
Managed Security Operations
Continuous security monitoring to detect threats and misconfigurations early.
Capabilities
- Security event monitoring & alerting
- Threat detection & response
- Cloud security posture management (CSPM)
- Vulnerability & misconfiguration tracking
AIOps-Driven Proactive Monitoring
AI-powered intelligence that reduces noise and predicts failures.
Capabilities
- Intelligent anomaly detection
- Alert correlation & noise reduction
- Automated root cause analysis
- Predictive failure and trend analysis
Unified Observability
Single-pane visibility across infrastructure, applications, and security.
Capabilities
- Metrics, logs, traces & events correlation
- Service health & SLO dashboards
- Business-impact-based alerts
- Real-time and historical insights
Automated Remediation & Optimization
Reduce manual effort through intelligent automation.
Capabilities
- Auto-remediation for known issues
- Policy-based response actions
- Cloud cost optimization insights
- Continuous performance tuning
KT MCS-AIOps is built for modern, distributed environments:
- Public Cloud: AWS, Azure, GCP, Oracle Cloud
- Hybrid & Multi-Cloud Architectures
- Kubernetes & Containers (EKS, AKS, GKE)
- Enterprise Applications & Databases
Vendor-neutral, future-ready, and scalable.
How KT MCS-AIOps Works
1. Discover & Baseline
2. Observe & Analyze
3. Detect & Predict
4. Respond & Remediate
5. Optimize & Improve
Business Outcomes
Organizations using KT MCS-AIOps achieve:
- Reduced Mean Time to Detect (MTTD)
- Faster Mean Time to Resolve (MTTR)
- Improved uptime and service reliability
- Lower operational overhead
- Stronger security and compliance readiness
Why Knowtifics for MCS-AIOps
- Proven managed cloud & security expertise
- Deep multi-cloud experience (AWS, Azure, GCP, Oracle)
- AIOps-driven operations model — not tool-only monitoring
- Global delivery with 24/7 support
- Focus on measurable business outcomes
Who Should Use KT MCS-AIOps
- Enterprises running multi-cloud or hybrid environments
- Organizations with 24/7 availability requirements
- Security-conscious industries (BFSI, Healthcare, SaaS)
- Teams facing alert fatigue and operational complexity
Frequently Asked Questions
What is AIOps in managed services?
Does KT MCS-AIOps replace existing tools?
Is it suitable for multi-cloud environments?
Can it help with compliance and audits?
Let’s Proactively Manage Your Cloud & Security
Move from reactive operations to predictive, AI-driven cloud and security management.
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