Sevii Adds Autonomous AI Module to Stop Fast Attacks

Sevii has added an AI security module to its Autonomous Defense & Remediation (ADR) platform. The module intercepts real-time alerts from a customer’s full detection stack, validates suspicious activity, hunts seven days of contextual data and can take protective action without waiting for human approval.

The module runs inline with existing detection systems rather than forwarding alerts to a security operations center. When an alert arrives, Sevii’s AI agents perform live analysis and a seven-day retrospective hunt to determine whether the activity fits policy or indicates an AI-driven attack. If they confirm malicious behavior, the agents search for similar activity elsewhere in the customer’s infrastructure to assess scope and urgency before recommending or executing remediation.

Curt Aubley, Sevii’s CEO and co-founder, explained: “When an ADR detection arrives, we collect the data, run a hunt to reverse-engineer the activity and take any necessary action.” The platform can act autonomously or present actions to a human operator; Sevii says governance rules often require a human option.

The module performs an automatic intelligence lookup for suspicious outbound traffic. It checks whether large data flows are routine and whether destinations are known command-and-control servers or other malicious infrastructure. If a destination is flagged, the system can stop the transfer, record what left the network and measure how quickly the activity was contained.

Sevii described a typical remediation: if a corporate laptop is compromised and credentials are used to access unfamiliar systems, the platform validates the alert, isolates the device, disables the account, terminates active sessions and removes malicious processes and registry entries. The system then revalidates normal behavior and, if cleared, restores the device. Sevii estimates the full autonomous workflow takes two to 15 minutes with minimal customer downtime.

Sevii developed the module in response to faster agentic and AI-enabled attacks. The company estimates such attacks can execute in 30 seconds to 30 minutes, with an average around 15 minutes, and says manual response can be too slow within those windows.

Sevii positions the AI module as an extension of its ADR capabilities focused on runtime detection and automated response across an organization’s detection stack. The company says the feature provides immediate impact analysis and preserves the option for human oversight where policy requires it.