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AdRem NetCrunchNetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services including AWS, Azure, and Google Cloud, applications, websites, logs, telemetry, and custom data using technologies such as SNMP, WMI, REST APIs, and scripts. NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics. Real-time dashboards and automatic Layer 2 and routing topology maps provide visibility into network status and performance. NetCrunch supports event correlation, dependency-aware alert suppression, predictive thresholds, escalation, and 40+ automated response actions, including script execution, notifications, webhooks, and integrations with external IT and collaboration tools. NetCrunch also provides hardware and software inventory, network device configuration backup and change tracking, bandwidth monitoring, and network traffic analysis using NetFlow, sFlow, IPFIX, and other flow technologies. Distributed Monitoring Probes extend monitoring to remote and isolated locations, while REST APIs support integration and automation with external systems. NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
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ThreatLockerThreatLocker is a Zero Trust platform designed to prevent cyber threats by ensuring only trusted applications and processes are allowed to operate. It eliminates persistent admin privileges, applies least privilege controls, and gives organizations granular control over how software runs. Through application allowlisting, ringfencing, and storage controls, it blocks ransomware, zero day attacks, and unauthorized behavior before anything can execute. Built for today’s IT and security teams, ThreatLocker delivers centralized control and real time visibility across endpoints, users, and applications. It reduces attack surface, limits lateral movement, and supports compliance with detailed logging and audit trails. With rapid deployment, a continuously maintained application library, and efficient approval processes, organizations can enhance security while lowering operational complexity and maintaining uptime.
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kama.aikama.ai is a Responsible AI Agent platform that provides organizations with a more accurate, accountable, and safe way to use AI. It supports training, compliance guidance, internal support, customer service, and specialized community needs. Unlike generic GenAI tools that create answers probabilistically, kama.ai combines deterministic Knowledge Graph AI with governed Generative AI and Trusted Collections. Trusted Collections is a RAG-based technology that helps reduce hallucinations on the generative side while giving AI Agents a reliable source of approved, accurate, and brand-safe information. This solution is a composite technology, specifically called GenAI’s Sober Second Mind™. In this case the sober element is the deterministic AI which guides and orchestrates the AI Agents to ensure hallucinations, and information sourced from nefarious sites, does NOT creep into your data or answers. kama.ai is designed for situations where answers need to be accurate, traceable, brand-safe, and aligned with approved source material. Human experts and Knowledge Managers can curate content, review AI-generated drafts, manage knowledge domains, and improve responses over time. This creates a governed-in-advance approach to AI, instead of relying on corrections after something has already gone wrong. kama.ai is especially well suited for knowledge-heavy organizations, training programs, compliance environments, Indigenous and community-focused initiatives, HR support, education, research, and other use cases where trusted and brand-safe information matters. By focusing on Responsible AI use and delivery, kama.ai helps organizations adopt AI more readily. This improves access to knowledge, reduces repetitive workloads, and provides more consistent support to the people who rely on their expertise. Think kama.ai for trusted AI, governed knowledge, and answers your organization is willing to stand behind.
What is Jozu?
Jozu serves as an AI-powered platform dedicated to enhancing the security of supply chains by confirming the integrity of artifacts before they are executed, overseeing agent activities in real-time, and keeping a detailed log of all subsequent actions. The Jozu Hub functions as a self-contained repository for models, agents, MCP servers, and skills, guaranteeing that each artifact is integrated with cryptographic signatures, attestations, comprehensive scans, policy compliance, and audit records. This platform's security assessment, specifically designed for AI applications, tackles numerous threats such as hidden executable code within model packages, compromised weights, data poisoning, prompt injection, insecure tools, and licensing breaches. Users can establish policies once, which are then distributed as signed OCI artifacts, with enforcement occurring during the actions of pulling, promoting, admitting, or executing these artifacts. Furthermore, Jozu Agent Guard collaborates seamlessly with workloads across servers, desktops, edge devices, and isolated systems, applying local filtering for prompts and input-output, implementing access controls for tools, requiring approvals, and enforcing policies in real-time. By adopting this all-encompassing strategy, Jozu significantly boosts security while also providing a resilient framework for managing and protecting AI-related artifacts throughout their entire lifecycle. Ultimately, this ensures that users can trust the integrity and compliance of their AI systems.
What is Gentoro?
Gentoro is a robust platform that empowers enterprises to leverage agentic automation by integrating AI agents with their existing real-world systems in a secure and scalable way. Utilizing the Model Context Protocol (MCP), developers can easily convert OpenAPI specifications or backend endpoints into production-ready MCP Tools, thus eliminating the necessity for manual coding during integration. This platform adeptly tackles runtime issues such as logging, retries, monitoring, and cost management, while also ensuring secure access, comprehensive audit trails, and adherence to governance policies like OAuth support and policy enforcement, irrespective of deployment in a private cloud or on-premises environment. Importantly, Gentoro is agnostic to models and frameworks, offering flexibility in incorporating a variety of large language models (LLMs) and agent architectures. This flexibility not only prevents vendor lock-in but also simplifies the orchestration of tools within enterprise environments, as it handles tool generation, runtime operations, security protocols, and ongoing maintenance all within a cohesive integrated stack. By delivering a comprehensive solution, Gentoro significantly boosts operational efficiency and streamlines the automation journey for organizations, ultimately enabling them to innovate and adapt more rapidly in a competitive landscape. As businesses increasingly seek to automate processes, Gentoro's capabilities will play a critical role in driving their transformation.
Integrations Supported
Model Context Protocol (MCP)
GitHub Actions
GitLab
Google Kubernetes Engine (GKE)
Harbor
Hugging Face
JFrog Artifactory
Integrations Supported
Model Context Protocol (MCP)
Claude
Gemini
Gemini Enterprise
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Trial Offered?
Pricing Information
Pricing not provided
Supported Platforms
SaaS
On-Prem
Supported Platforms
SaaS
On-Prem
Customer Service / Support
24 Hour Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Online Training
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Jozu
Date Founded
2023
Company Location
United States
Company Website
jozu.com
Company Facts
Organization Name
Gentoro
Date Founded
2024
Company Location
United States
Company Website
www.gentoro.com
Categories and Features
AI Guardrails
Not specified
Categories and Features
AI Code Generators
Not specified