Sevii has announced the general availability of its Autonomous Identity Security module, expanding the capabilities of its Level 5 Autonomous Defense & Remediation (ADR) platform. With identity attacks rapidly becoming the starting point for major cyber breaches, the company designed this new module to place autonomous, AI-driven defense directly inside the identity attack surface. As a result, security teams can now detect and remediate threats at machine speed and scale without requiring manual intervention.

Currently, cyber adversaries are aggressively targeting identity systems to gain access to endpoints, cloud environments, AI infrastructure, and SaaS applications. Moreover, identity-based attacks have surged by approximately 68% year over year. At the same time, attackers are leveraging dark AI tools and large language models to automate and scale attack campaigns. Although many identity threat detection solutions can generate alerts within minutes, security teams relying on legacy security operations architectures still require hours to investigate and respond. Consequently, this delay creates a dangerous timing gap that attackers continue to exploit.

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Therefore, the cybersecurity industry is shifting toward a new defensive category known as Autonomous Defense & Remediation (ADR). Unlike traditional tools that only detect threats, ADR uses agentic AI systems that actively perform security operations tasks. These AI agents function as an extension of the enterprise security team, helping organizations counter AI-powered threats that operate at unprecedented speed and scale.

The new Autonomous Identity Security module operates using ADR-powered agentic AI identity Cyber Warrior agents. These AI agents process identity threat detections in real time. In addition, they automatically launch deeper investigative hunts, including retrospective threat analysis, to understand the full attack context. After identifying compromised identities, the system executes remediation actions within minutes. Early customer deployments have already demonstrated measurable Cyber AI return on investment, showing more than 95% improvements across key metrics such as Mean Time to Detect (MTTD), Mean Time to Hunt (MTTH), and Mean Time to Recommend and Remediate (MTTRR).

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Furthermore, the company emphasizes that traditional security tools often create operational overload rather than reducing risk. Security teams typically deploy multiple platforms, including endpoint protection tools, identity threat detection solutions, legacy AI-enabled security operations centers, and managed detection and response services. While these tools provide necessary visibility, they also generate massive alert volumes that require time-intensive manual investigation. As a result, security teams struggle to keep pace with rapidly evolving threats.

In contrast, the ADR AI Control Plane unifies operations across fragmented security tools and services. It introduces centralized AI governance, advanced AI reasoning, and automated AI-driven response actions. Consequently, organizations can shift from reactive detection-only models to proactive, autonomous cyber defense strategies. This unified approach enables continuous threat hunting, automated decision-making, and real-time remediation across the entire identity ecosystem.

Overall, this launch reflects a broader industry move toward autonomous cybersecurity operations. As AI-driven attacks continue to grow in sophistication and speed, organizations must adopt equally advanced defensive technologies. By embedding autonomous agentic AI directly into identity security workflows, enterprises can significantly reduce breach risk, accelerate response times, and improve overall cyber resilience.

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