Security Information and Event Management (SIEM) relies on logs and rules—but attackers move faster. Learn why SIEM is not enough and how AI-driven threat detection uncovers real threats in real time.
SIEMs are a cornerstone of security operations, but their effectiveness is only as strong as the data they ingest. Without integrated signal from network, cloud, SaaS, and identity layers, and with blind spots across hybrid infrastructure, your SIEM can’t detect what it doesn’t see—leaving your SOC with an incomplete and delayed picture of the attack.
How attackers evade SIEM:
SIEMs rely on logs, but attackers disable logging, use unmanaged devices, or move through network traffic that isn’t captured.
Threat actors bypass static rules by using living-off-the-land (LotL) techniques and modifying attack patterns.
SIEMs generate massive alert volumes with high false positives, delaying detection and response to real threats.
SIEM alone isn’t enough to detect advanced threats because it relies on log collection and correlation rules rather than real-time behavioral detection. Security teams need an approach that goes beyond logs and alerts to detect threats as they happen.
SIEMs collect and analyze security logs, but:
SIEM alone can’t stop modern attacks that move beyond log-based detection. The Vectra AI Platform provides real-time threat visibility across network, cloud, and identity layers, closing the gaps SIEM leaves behind. Here’s how:
With Vectra AI, you can detect threats in real time—before they escalate into breaches.
SIEMs rely on logs, while Vectra AI provides live threat detection across network, cloud, and identity layers. Here’s how they compare:
Vectra AI doesn’t replace SIEM—it enhances it by detecting the threats that logs miss.