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Guardz is a significant player in the application of agentic AI for defensive cybersecurity. Rather than building a general-purpose agent framework, they have deployed specialized agents within their Managed Detection and Response (MDR) stack to handle autonomous triage. This is a practical implementation of the 'Autonomous SOC' concept, where agents perform the initial investigation and mitigation steps that were previously the domain of junior security analysts.
For the broader AI ecosystem, Guardz demonstrates how agentic workflows can solve the scaling problem in labor-intensive industries like IT services. By using agents to bridge the gap between detection and response, they allow MSPs to secure thousands of endpoints without a proportional increase in headcount. They are a case study in how purpose-built agents can be integrated into existing SaaS platforms to move from passive monitoring to active, real-time remediation.
Guardz is built on the premise that small and medium-sized businesses (SMBs) are structurally different from the enterprises that traditional cybersecurity companies target. While a Fortune 500 company might have a dedicated Security Operations Center (SOC), an SMB typically relies on a Managed Service Provider (MSP) to handle everything from printer setups to ransomware defense. Guardz provides these MSPs with a unified platform that covers the three most vulnerable vectors in a modern business: email, identity, and endpoints.
The platform relies on an API-native architecture rather than the traditional inline gateway model. In practice, this means an MSP can secure a client's Microsoft 365 or Google Workspace environment in minutes without modifying DNS MX records. This approach allows the Guardz engine to scan mailboxes both before and after delivery, using native APIs to pull malicious content or quarantine accounts the moment a threat is detected. By operating inside the cloud environment rather than at the perimeter, the system gains visibility into internal email traffic and file sharing that legacy gateways often miss.
What makes Guardz relevant to the current era of automation is its use of agentic AI within its Managed Detection and Response (MDR) offering. Cybersecurity produces a high volume of noise, and for an MSP managing hundreds of different company environments, alert fatigue is a primary cause of breach oversights. Guardz uses agents to triage these signals at machine speed, determining which alerts represent legitimate risks and which are false positives.
This triage layer is not just a set of static rules but an active processing engine that understands context across vectors. For example, if a user clicks a phishing link (email vector) and then an unusual login is detected from a new geography (identity vector), the agentic system can correlate these events and initiate an automated lockout before a human analyst even reviews the case. This hybrid approach—combining automated agents with 24/7 human oversight—allows the company to provide enterprise-level response times at a price point that fits the SMB market.
Founded in 2022 by Dor Eisner and Alon Lavi, Guardz is headquartered in Tel Aviv, drawing on the region’s deep expertise in network security. Eisner previously served in the IDF's Unit 8200 and held leadership roles at IntSights, which was acquired by Rapid7. This pedigree is reflected in the platform's focus on threat intelligence and rapid remediation.
The company has scaled quickly, raising over $85 million in funding as of 2025, including a significant Series B led by ClearSky. They currently support over 500 MSPs and have established strategic partnerships with major distributors like Pax8 and security firms like SentinelOne. By embedding SentinelOne’s endpoint detection (EDR) directly into their interface, Guardz has effectively turned its platform into a single operating system for the MSP’s security business.
An AI-native detection and response framework for securing SMB environments.
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