Secure Access Service Edge (SASE) strengthens your perimeter controls, but it was never intended to spot every attacker once they’re inside. Vectra AI works alongside your SASE investment, adding AI-driven threat detection to close those interior visibility gaps.
SASE helps secure network access, but it focuses on traffic enforcement rather than threat detection. Attackers who gain initial access can move laterally undetected, exploiting gaps in network, cloud, and identity security.
Attackers use stolen credentials to bypass SASE protections and move across SaaS, cloud, and on-prem environments.
SASE enforces access controls, but it can’t detect when legitimate accounts are being misused.
Once inside, attackers navigate cloud and identity systems, avoiding SASE visibility entirely.
In a Scattered Spider–style attack (as illustrated below), SASE (Secure Access Service Edge) provides useful access control and traffic filtering, but it would not detect attacker behavior after access is granted. SASE enforces policy, connectivity, and secure remote access—but Scattered Spider operates inside those policies, using valid credentials and legitimate services.
SASE is critical for securing network access, but it does not detect post-access threats. Once an attacker is inside, security teams need visibility into their movements across the environment.
SASE applies security policies to traffic and users, but:
The Vectra AI Platform provides real-time threat detection beyond the network perimeter, closing security gaps that SASE alone can’t.
With Vectra AI, you can stop attackers who slip past access controls—before they escalate.
Rather than replacing SASE, the Vectra AI Platform integrates with your existing edge controls—leveraging the same signals to detect identity-based and lateral-movement threats that SASE alone can’t see.
Vectra AI doesn’t replace SASE, it enhances it by detecting the threats that access policies miss.