Guardz is the unified cybersecurity platform purpose-built for MSPs. We consolidate the essential security controls, including identities, endpoints, email, awareness, and more, into one AI-native framework designed for operational efficiency.
Our identity-centric approach connects the dots across vectors, reducing the gaps that siloed tools leave behind so MSPs can respond to user risk in real time.
With 24/7 AI + human-led MDR, Guardz utilizes agentic AI to triage at machine speed while expert analysts validate, mitigate, and guide response, giving MSPs scalable protection without adding headcount.
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RealCISO is a compliance intelligence platform for two audiences: MSPs and MSSPs managing security across multiple clients, and enterprise teams running compliance in-house.
MSPs, MSSPs, and security consultants use it to run compliance assessments, manage cyber risk, track remediation, and report to boards — all in one place. Assessments map directly to NIST CSF, SOC 2, NIST 800-171, HIPAA, CIS Controls, CMMC, and 30+ other frameworks.
Instead of months of spreadsheet work, clients get a clear picture of where they stand and what to fix — in days. Over 3,000 security providers rely on RealCISO to deliver vCISO services at scale.
Built by practitioners. Founded by Brian Haugli — former DoD, former VP & CSO at The Hanover Insurance Group, CISSP, and co-author of the NIST CSF book published by Wiley.
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Recorded Future
Recorded Future stands as the largest global provider of intelligence tailored for enterprise security. By integrating continuous automated data gathering and insightful analytics with expert human analysis, Recorded Future offers intelligence that is not only timely and accurate but also highly actionable. In an increasingly chaotic and uncertain world, Recorded Future equips organizations with the essential visibility needed to swiftly identify and detect threats, enabling them to take proactive measures against adversaries and safeguard their personnel, systems, and assets, thereby ensuring business operations can proceed with assurance. This platform has gained the trust of over 1,000 businesses and government entities worldwide. The Recorded Future Security Intelligence Platform generates exceptional security intelligence capable of countering adversaries on a large scale. It melds advanced analytics with human insights, drawing from an unparalleled range of open sources, dark web data, technical resources, and original research, ultimately enhancing security measures across the board. As threats evolve, the ability to leverage such comprehensive intelligence becomes increasingly crucial for organizational resilience.
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Saner CVEM
SecPod Saner CVEM is a unified vulnerability and exposure management platform built to help security teams continuously detect, prioritize, and fix risks across their IT environment. The platform combines asset intelligence, vulnerability management, compliance checks, posture anomaly detection, endpoint management, patch management, and remediation workflows in a single console. Saner CVEM is designed to go beyond CVE-based scanning by identifying configuration drift, posture anomalies, compliance gaps, asset exposures, shadow IT, and unusual behavior across devices. Its AI and machine-learning models monitor more than 100 device parameters to detect risks that may not appear in standard vulnerability feeds. The platform prioritizes issues based on exploit likelihood, CISA KEV status, SSVC guidance, asset importance, business context, and attacker behavior mapped through MITRE ATT&CK and CWE. Saner CVEM also supports continuous SCAP and OVAL-based scans across operating systems and more than 550 third-party applications. Security teams can use its integrated remediation and patch deployment capabilities to reduce tool-switching, cut mean time to remediate, and improve patch compliance. The platform is built around a lightweight agent that supports Windows, Linux, and macOS environments. SecPod Saner CVEM is designed for organizations that want complete asset visibility, stronger exposure reduction, and a more automated path from detection to prevention.
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