Drawbacks of Traditional SIEM Solutions
- Majority of the correlation criteria are generic, resulting in a significant rate of false positives and negatives.
- Heavily dependence on static data (event logs) may miss out some of the key indicators of compromise for early threat detection and response.
- Absence of Behavioral Analytics with user identity, network flow and applications, resulting in incomplete alerts and context.
- Not considering threat intelligence data for augment analysis, causses previously undetected malware to remain as it is.
aiSIEM provides a unique approach to cybersecurity, ruling out the drawbacks of traditional SIEM while allowing businesses to meet the challenges caused by new attack vectors, approaches, and tactics. Detect and respond fast to the known and unknown threats – on-premise, cloud, or remote, before they cause much damage or risk.
Continuous Compliance – On Demand and At Scale
Operational Efficiencies in Threat Detection
Qualitatively Enhanced Outcome
