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Gladius Securitas Debuts AI-Native Platform for Machine Identity Risks

With non-human identities now outnumbering human users by more than 144-to-1, traditional security architectures are struggling to keep pace. Salt Lake City-based Gladius Securitas is launching an AI-native platform designed to secure autonomous workflows, machine-to-machine communications, and the rapidly expanding ecosystem of frontier AI models.

Gladius Securitas Debuts AI-Native Platform for Machine Identity Risks
Photo: Bio & News

The surge in AI agents and service accounts has created a massive blind spot for enterprise defenders. CEO Peter Bookman noted that current security frameworks were designed for a human-centric world, whereas modern AI agents operate at machine speed, leaving critical gaps in vulnerability management and threat intelligence. The new Gladius Securitas platform attempts to solve this by consolidating offensive security testing, automated remediation, and continuous monitoring into a single architecture.

Central to the system are Blue Team Remediation Recipes, which move beyond simple alert generation to provide automated, validated response workflows. By focusing on three pillars—Proof of Risk, Proof of Fix, and Proof of Trust—the platform aims to provide measurable security outcomes rather than just raw data. This approach is intended to assist MSSPs and mid-market organizations currently facing both a cybersecurity talent shortage and the increasing complexity of AI-driven infrastructure. The company is also fostering a community-powered ecosystem, allowing researchers and defenders to contribute playbooks to the platform to accelerate the time between vulnerability discovery and verified remediation.

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