Best Practices Guide

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
Using AI to Detect and Stop Lateral Movement in the Cloud
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Stop a hybrid attack

Take a self-guided tour to see how the Vectra AI Platform empowers you to stop hybrid attacks before any damage is done.

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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).

With Vectra AI, attackers don't stand a chance

Intellectual property. High-value data. Hybrid cloud infrastructure. It all adds up to a lot of vulnerabilities — and makes your company a prime target for nation-state cyberattacks. But with Attack Signal Intelligence from Vectra AI, your analysts easily keep data breaches at bay.

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