At RSA Conference 2026, Singapore-based cyber AI firm Protos Labs announced the launch of a freemium version of its agentic AI platform, Protos AI, for cyber threat intelligence (CTI). The platform employs specialized AI agents to automate and scale threat investigations, augmenting human analyst teams. This move challenges the established CTI market by lowering the barrier to entry for sophisticated threat analysis, making it accessible to organizations of all sizes. The freemium offering allows security teams to perform critical tasks like vulnerability prioritization and BEC campaign analysis without significant upfront investment. Protos Labs claims its platform can deliver 15 times faster threat analysis and reduce program costs by 30%, positioning AI as a necessary component of modern cyber defense.
Protos AI is an agentic AI platform designed to streamline the cyber threat intelligence lifecycle. Unlike general-purpose AI assistants, Protos AI deploys a team of coordinated AI agents, each assigned a specific role in an investigation:
This structured approach allows the platform to handle routine, time-consuming tasks at scale, freeing up human analysts to focus on strategic decision-making and complex threat validation. The platform maintains a human-in-the-loop model, where analysts approve investigation plans and validate the final outputs, ensuring accuracy and control.
The platform is designed to be vendor-neutral, integrating with an organization's existing security tools and supporting a variety of Large Language Models (LLMs), including Azure OpenAI, Anthropic's Claude, and Google Gemini. It offers flexible deployment options, including public cloud, on-premise, and restricted (air-gapped) environments.
The introduction of a powerful, freemium CTI platform could significantly disrupt the threat intelligence market, which has traditionally been dominated by high-cost subscription services. By democratizing access to AI-driven analysis, Protos Labs is enabling small and medium-sized businesses (SMBs) to build a credible CTI capability that was previously out of reach.
For large enterprises, Protos AI offers a way to augment their existing SOC and CTI teams, automating repetitive tasks and reducing analyst burnout. The platform's ability to deliver faster analysis (a claimed 15x improvement) and lower costs (a claimed 30% reduction) is a compelling value proposition in an environment where security budgets are under constant scrutiny.
This launch reflects a broader industry trend, as highlighted by a late 2025 Futurum Group survey, which found that 62.1% of security leaders now view AI-powered defense as a necessity, not a luxury. Protos Labs is entering the U.S. market with proof-of-concept deployments already underway in the banking, financial services, and manufacturing sectors, indicating strong initial interest.
The freemium version of Protos AI supports several key use cases:
The platform's agentic architecture allows it to perform structured, repeatable investigations, ensuring consistency and thoroughness. Human oversight remains a critical component, with analysts guiding the AI and validating its conclusions, blending the speed of machine automation with the nuance of human expertise.
While Protos AI is a tool and not a direct mitigation, its capabilities support several key defensive functions:
M1051 - Update Software by prioritizing the most critical patches.M1047 - Audit.Ultimately, tools like Protos AI aim to help organizations move from a reactive security posture to a more proactive and predictive one, leveraging AI to stay ahead of adversaries.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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