Organizations generate thousands of daily security events across disparate systems. Without centralized collection, correlation, and tiered analysis, adversary dwell times stretch to months and threats escape notice entirely.
A SIEM platform ingests logs and telemetry from endpoints, networks, cloud workloads, and identity systems into a normalized data lake. Correlation rules match event sequences against known threat signatures and behavioral baselines. Tiered analysts triage escalated alerts, enrich context, and route confirmed incidents to response teams, creating a feedback loop that tunes detection fidelity.
SIEM platforms, log management systems, security data lakes, correlation engines, case management tools, and compliance reporting dashboards.
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Monitors identity infrastructure to detect credential abuse, privilege escalation, and lateral movement across authentication boundaries in real.
ML-driven endpoint agents that detect and autonomously contain threats in real time using behavioral analysis and cross-domain telemetry correlation.
A prepared team and process that detects, contains, eradicates, and recovers from security incidents while preserving digital evidence for analysis.
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