Josys is an AI-native identity security and governance platform built for the age of enterprise AI. As AI adoption accelerates, identity has become the fastest-growing attack surface and the hardest to govern. Josys discovers, governs, and secures every identity in the enterprise, human, machine, and AI agent, across every application. Its policy-led model lets security and IT teams set access policies once and enforce them autonomously: risk gets surfaced, access gets controlled, and identity threats get remediated in real time, with no manual oversight required. Over 1,000 organizations and MSPs worldwide trust Josys to turn identity from a liability into an autonomously governed advantage. Learn more at josys.com.
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ThreatLocker is a Zero Trust security platform that stops cyber threats by allowing only approved applications and activity to run. It removes standing admin rights, enforces least privilege, and gives organizations precise control over software behavior. With capabilities like application control, ringfencing, and device and storage restrictions, it prevents ransomware, zero day exploits, and unauthorized actions before they can execute.
Purpose built for IT and security teams, ThreatLocker offers centralized management and full visibility across endpoints, users, and applications. It helps shrink the attack surface, restrict lateral movement, and meet compliance requirements with detailed auditing. Quick to deploy and easy to manage, the platform includes a large maintained application library and simplified approval workflows, enabling stronger security with less operational burden while keeping the business running smoothly.
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Moderation API
Moderation API gives trust & safety teams frontier moderation models that are purpose-built, trained in-house and ready for production. Instead of prompting a general-purpose LLM, our models were trained from the ground up on a large proprietary dataset of real-world harmful content. That makes them faster, more cost-efficient and harder to fool.
One API covers text, images and other user content, detecting toxicity, harassment, hate, sexual content, spam, scams, phishing, malicious URLs and personal data. Specialist detectors for scams and malicious links go beyond the usual harm categories, and robust handling of obfuscation means evasive content doesn't slip through.
Your policies, enforced precisely: build custom models on your own data in Model studio, or use AI agents that apply your written guidelines with full conversation context. Each result is a clear allow, review or reject recommendation you can automate on immediately.
Human expertise stays in the loop. Flagged content lands in review queues inside a moderation dashboard, where moderators act on bad actors and every decision improves your models over time. Dry-run mode lets you measure accuracy on real traffic before enforcement goes live.
Developer-first from day one: SDKs, a REST API and no-code integrations get you live in hours, not months. GDPR and CCPA compliant, and free to start.
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Hive Moderation
Hive presents a comprehensive approach to safeguarding your platform. By harnessing the power of the largest global distributed workforce dedicated to labeling data, we are setting new standards in automated content moderation. Our offerings include top-tier models combined with manual moderation, enabling us to deliver scalable solutions that surpass the capabilities of traditional business process outsourcing (BPO) contract workers.
Moreover, alongside our leading models, our extensive workforce is equipped to address a wide range of manual moderation requirements. From overseeing user-generated content to annotating large volumes of training data, our decentralized system and consensus-driven policy ensure an unparalleled level of accuracy that outshines our competitors. This unique blend of technology and human expertise positions us as a frontrunner in the industry.
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