Best Practices

Using AI to Detect and Stop Lateral Movement in the Cloud

Using AI to Detect and Stop Lateral Movement in the Cloud
Vectra CDR for AWS enables modern SOC teams to reduce risks against advanced lateral movement attacks in your hybrid cloud.
Using AI to Detect and Stop Lateral Movement in the Cloud
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Key Challenges

  • Gaps in hybrid cloud visibility: SOC teams need to have visibility into their entire hybrid cloud deployment encompassing data center networks, identity, SaaS and public clouds such as AWS; not solely depending on a singular source such as firewalls to detect threats in inbound and outbound traffic.
  • Technical depth in threat detection: SOC teams need advanced behavioral analytic capabilities across various connected surfaces without investing in disjointed tooling from multiple vendors that either do not integrate or simply leave gaps that sophisticated attackers can exploit to move laterally between surfaces.
  • Heightened operational challenges: With more tools comes increased overhead in tooling, time and manpower for SecOps. SOC teams need to protect their hybrid cloud deployments without overspending on resources and time to manually corelate data from various sources. This adversely impacts key SOC metrics such as the mean time to investigate (MTTI) and mean time to respond (MTTR).
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