Sevii announced Cyber Swarm Defense Mode (CSD), a capability that dynamically deploys swarms of autonomous AI agents to detect, contain, and remediate cyberattacks within a 15-minute window. The system, built on Sevii’s proprietary Myrmidon Defense Technology (MDT), targets a specific operational problem: AI-powered attacks now move faster than human analysts can triage them.
How It Works
CSD adds to Sevii’s existing application detection and response (ADR) platform. When incoming threats exceed the capacity of human teams, the system automatically scales up what the company calls “Agentic AI Cyber Warriors,” according to Security Boulevard. Each agent is purpose-trained on specific cybersecurity functions: detection processing, threat hunting, reverse engineering, isolation, remediation, and asset restoration.
Security teams set a service-level objective (SLO) that defines the remediation window. When the volume of detections threatens to breach that SLO, CSD activates autonomously and generates as many agents as needed to match the threat level. The company claims this reduces analyst workloads by 95%, according to Help Net Security.
“Attackers are now operating at near-zero cost with effectively infinite scale. Defenders cannot win that cyber fight with finite people or unpredictable usage-based charging of AI token systems,” CEO Curt Aubley told Security Boulevard.
Fixed-Cost Pricing Model
The pricing structure is the second notable element. Sevii charges a fixed cost per asset protected rather than billing based on AI token consumption. During a large-scale attack swarm, token-based billing can spike unpredictably, creating a perverse incentive where defending aggressively costs more. The fixed model eliminates that constraint.
“Organizations can now economically meet their cyber goals of a sub-15-minute full remediation, even when defending against cyber attack swarms at a firm fixed price per asset protected,” said Frank Holt, CEO of Synergem Technologies, in the company’s press release.
The SOC Automation Trajectory
Sevii’s CSD enters a cybersecurity market where autonomous agent-based defense is accelerating. The Cloud Security Alliance reported this week that 65% of organizations experienced security incidents caused by uncontrolled AI agents in the past 12 months. The attacker side is scaling just as fast: the Zero Day Initiative logged a 490% increase in AI-discovered vulnerability submissions in April alone.
Aubley’s framing is blunt: most Level 1 SOC tasks will soon be fully automated, and new cybersecurity recruits will need to enter at Level 2 and 3 competency. The question for security teams evaluating CSD is whether governance controls, specifically the SLO-triggered activation and built-in AI governance framework, are robust enough to trust autonomous remediation at scale. Sevii is betting the answer is yes, and that the alternative, human analysts trying to match machine-speed attacks, is already a losing proposition.