Company Overview
Snapshot
Founded in December 2024 by Shlomo Touboul and Reffael Caspi, Xeris AI operates with 1-10 employees. The company has secured $4 million in total capital across one funding round from one investor. In June 2025, Xeris AI announced the launch of the industry's first MCP-XDR (Extended Detection and Response) system, built on patent-pending technology.
Business overview
Xeris AI empowers enterprises to securely access and interact with their data through personalized AI Assistants. The company develops the industry's first Secure MCP Gateway and MCP-XDR system, designed to protect AI Assistants and AI Agents at scale. By enabling central management of access, policy enforcement, and threat response, Xeris AI brings control and compliance to AI-powered operations, addressing the security challenges of Generative AI adoption in the enterprise.
Strategic signal
In August 2025, Xeris AI's Threat Lab uncovered a metadata forgery vulnerability, XERIS-006, in MCP Servers, demonstrating how malicious servers can manipulate metadata sent to Large Language Models (LLMs) to gain unauthorized access to sensitive information. This discovery highlights the critical need for robust security measures in enterprise AI and positions Xeris AI as a proactive leader in developing solutions to prevent such logic-layer threats, underscoring the value of their AI XDR offerings.
Log in to access full profile ›Company Intelligence Q&A
- What is Xeris AI's primary focus?
- Xeris AI focuses on democratizing knowledge across the enterprise safely by providing secure access and interaction with enterprise data through personalized AI Assistants. The company addresses the growing security challenges of Generative AI adoption.
- When was Xeris AI founded and by whom?
- Xeris AI was founded in December 2024 by co-founders Shlomo Touboul and Reffael Caspi.
- What significant product did Xeris AI announce in June 2025?
- In June 2025, Xeris AI announced the launch of the industry's first MCP-XDR (Extended Detection and Response) system, powered by patent-pending technology, designed to enhance the security of enterprise AI deployments.
- What vulnerability did Xeris AI's Threat Lab uncover in August 2025?
- In August 2025, Xeris AI's Threat Lab uncovered a metadata forgery vulnerability, named XERIS-006, in MCP Servers, which allows malicious servers to manipulate metadata sent to Large Language Models (LLMs) for unauthorized access to sensitive information.
- What was Xeris AI's discovery regarding LLM attacks in June 2025?
- In June 2025, Xeris AI unveiled the first-ever reasoning-level LLM attack executed via a malicious MCP Server. This vulnerability, termed the Step-Controlled Reasoning Exploit, allows manipulation of LLM reasoning processes without triggering traditional security alerts, leading Xeris AI to deploy new defenses in its MCP-XDR offering.