AI-driven threat detection, anomaly identification, and automated response — protecting your digital assets with systems that learn from every attack, getting smarter and faster than human-only security teams can.
Traditional rule-based security systems can't keep up with modern threats. Yeskay's Cybersecurity & AI practice builds intelligent security systems that detect anomalies, identify novel attack patterns, and trigger automated responses — before damage occurs.
We combine deep cybersecurity expertise with advanced ML to build SIEM integrations, behavioral analytics platforms, and automated response playbooks that give your security team the AI-powered edge they need.
From real-time threat detection to automated incident response and compliance monitoring.
ML models trained on your network behavior that detect anomalies, lateral movement, and novel attack patterns that signature-based tools miss — with dramatically lower false positive rates.
SOAR playbooks and AI-driven automated responses that contain threats in seconds — isolating systems, revoking credentials, and alerting teams without waiting for human intervention.
UEBA systems that build behavioral baselines for every user and system — detecting insider threats, compromised accounts, and privilege escalation attempts in real time.
AI-driven vulnerability scanning and prioritization that tells your team which vulnerabilities to fix first — based on exploitability, asset criticality, and real-world threat intelligence.
Automated compliance monitoring, evidence collection, and reporting for HIPAA, SOC 2, PCI DSS, and GDPR — reducing the manual burden of audit preparation significantly.
Zero-trust architecture design, cloud security posture assessments, and penetration testing — identifying and closing gaps before attackers find them.
From regulated healthcare environments to high-scale financial systems — AI security built for your threat landscape.
PHI access monitoring, anomaly detection on EHR systems, and automated HIPAA compliance reporting — protecting patient data while enabling clinical workflows.
Real-time transaction anomaly detection, account takeover prevention, and behavioral fraud scoring — stopping fraud before transactions clear.
Continuous cloud configuration monitoring, misconfiguration alerts, and automated remediation — ensuring your AWS, Azure, or GCP environment stays secure as it evolves.
Behavioral baseline modeling for every user — detecting unusual data access, exfiltration attempts, and privilege abuse that looks normal to signature-based tools.
AI-powered alert triage and investigation assistance that reduces analyst workload by 70% — letting your security team focus on the threats that actually matter.
End-to-end zero-trust network architecture design and implementation — identity verification, micro-segmentation, and least-privilege access across your entire environment.
Security work that measurably reduced risk and improved detection speed.
ML alert triage and SOAR automation reducing 40,000 daily alerts to 1,200 prioritized ones — cutting MTTD from 4 hours to 12 minutes.
Behavioral baseline ML detecting anomalous document access and exfiltration attempts — catching 3 actual incidents in the first quarter with 96% detection precision.
We integrate with your existing security stack and augment it with AI capabilities.
A structured approach that closes your most critical gaps first and builds toward comprehensive AI-powered security.
We map your current security posture, identify critical gaps, and prioritize the highest-risk exposures — giving you a clear roadmap before any implementation begins.
Zero-trust architecture design, SIEM integration planning, and AI model selection — tailored to your threat landscape, compliance requirements, and existing stack.
ML model development and training, SIEM integration, SOAR playbook creation, and behavioral baseline establishment — with full testing before go-live.
Ongoing threat monitoring, model retraining as attack patterns evolve, and continuous tuning to reduce false positives and improve detection accuracy over time.
Tell us about your current security stack and your biggest concerns. We'll identify the highest-risk gaps and show you how AI can close them.