Netacea develops bot and agent trust management software for enterprise digital platforms. The company's server-side platform analyzes behavioral signals and intent to assign trust levels to automated traffic, enabling organizations to differentiate between legitimate users, good bots, malicious automation, and AI agents in real time. The platform processes 144 billion signals per second and maintains a false positive rate of 0.001%, with intelligence drawn from infiltration of over 3,000 attacker communities. Rather than applying broad blocking, the system is designed to provide visibility, verification, and granular control over automated requests. Core capabilities include: - Real-time behavioral analysis and intent detection - Trust-level assignment for each incoming request - Detection and mitigation of malicious bot activity - Governance of AI agent traffic in agentic environments - Protection against automated abuse that can erode revenue Netacea targets enterprises operating digital platforms where automated traffic—including credential stuffing, scraping, and AI-driven agents—poses a threat to revenue, data integrity, and customer experience. The platform is positioned to address both traditional bot threats and emerging risks from autonomous AI agents participating in digital ecosystems. The company is led by cybersecurity professionals, AI researchers, and enterprise software specialists. Netacea also produces a podcast called "Cybersecurity Sessions" covering topics in security leadership and industry trends.