Stop identity-driven attacks early

Attackers use valid credentials to blend into normal activity and move through the environment without detection. In modern environments, they log in, exploit trust, and operate as legitimate users across systems, cloud, and identities, typically following a predictable sequence:

• Steal or purchase credentials through phishing, credential stuffing, or token theft  

• Authenticate normally using legitimate access paths  

• Escalate privileges using pass-the-hash, token replay, or service account abuse  

• Move laterally across systems, cloud, and identity infrastructure  

• Stage and exfiltrate sensitive data
  

Traditional tools focus on authentication events and known threat signatures but lack visibility into what happens after access is granted, allowing attackers using valid credentials to appear legitimate and avoid detection. This creates several critical gaps:

• Monitor login success or failure, not post-authentication behavior  

• Rely on signatures that identity-based attacks do not generate  

• Operate in silos across endpoint, identity, and cloud  

• Cannot correlate activity across domains to reveal attack progression

Vectra AI analyzes how identities behave across the entire modern network, enabling detection of misuse hidden behind valid credentials and exposing attacks as they develop across domains. It does this by continuously correlating identity activity into clear, contextual signal:

• Continuously monitors identity behavior across network, cloud, and SaaS  

• Correlates access patterns, privilege changes, and communication activity  

• Detects credential abuse, service account misuse, and privilege escalation early  

• Connects activity across domains to reveal full attack progression

Explore how the Vectra AI Platform reveals identity-driven attacks, connects behavior across your network, and stops threats in motion before impact.