Sevii, a leader in Autonomous Defense & Remediation (ADR), has introduced a breakthrough capability aimed at stopping high-volume, AI-powered cyberattacks at machine speed and scale. Notably, the company has designed this innovation to eliminate the burden of unpredictable AI token usage costs, which often challenge organizations adopting AI-driven security tools.

At the core of this announcement is Sevii’s Cyber Swarm Defense Mode (CSD), a capability that directly addresses a growing cybersecurity gap. As AI technologies continue to expand attack surfaces and significantly reduce the time between vulnerability discovery and exploitation, traditional security systems increasingly struggle to keep pace. Consequently, organizations face heightened risks, especially when dealing with large-scale, AI-driven attack swarms.

“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,” said Curt Aubley, CEO of Sevii. “Cyber Swarm Defense Mode changes the equation. We deliver autonomous execution at a fixed price per asset protected, so our customers can stop attacks in minutes, regardless of volume, so they can consistently deliver the cyber performance they need to mitigate the AI-powered adversary world at scale.”

Furthermore, many organizations aim to detect and neutralize threats within the widely accepted 15-minute benchmark. However, as AI-driven intrusions increase in volume and sophistication, even teams supported by AI copilots often fail to maintain this standard. As a result, security teams already under pressure fall further behind, leaving systems more vulnerable.

To address this challenge, Sevii’s ADR platform leverages Autonomous Agentic AI Cyber Warrior agents capable of detecting, containing, and remediating threats within minutes. Impressively, this approach can reduce analyst workloads by up to 95%. In addition, Cyber Swarm Defense Mode dynamically scales operations by deploying as many AI agents as required to match the threat level. This ensures comprehensive coverage across the entire attack lifecycle, including detection, threat hunting, reverse engineering, isolation, remediation, and system restoration.

“This is a game changer. Cyber performance matters. 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. This provides the predictable budgeting that security leaders need, without hiring more team members, outsourcing to an MDR, or worrying about AI budget exhaustion mid-incident,” said Frank Holt, CEO, Synergem Technologies, Inc.

In addition, Sevii has redefined the economics of AI cybersecurity by replacing usage-based pricing models with a fixed, per-asset cost structure. Powered by proprietary algorithms and micro-orchestration techniques, this model enables efficient, large-scale autonomous operations without the financial uncertainty typically associated with AI tools.

At the foundation of Cyber Swarm Defense Mode lies Sevii’s Myrmidon Defense Technology (MDT). This technology eliminates reliance on AI token consumption while enabling end-to-end autonomous threat management. Moreover, it allows organizations to define service level objectives (SLOs), ensuring that the system automatically scales defenses when thresholds are exceeded.

Ultimately, Sevii’s latest innovation delivers measurable cybersecurity outcomes. Organizations can maintain strong Mean Time to Remediate (MTTR) metrics, eliminate security bottlenecks, and reduce reliance on limited human or AI resources. As the AI-driven threat landscape continues to evolve, Sevii positions its ADR platform as a critical solution for organizations seeking scalable, predictable, and high-performance cyber defense.

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