SecureAgent
Enterprise Security for AI Agent Ecosystems
Founded: February 2025
Stage: Pre-seed
Company Overview
SecureAgent is a cutting-edge cybersecurity startup focused on protecting enterprise AI agent ecosystems, with a specialized focus on the emerging Agent-to-Agent (A2A) and Model Context Protocol (MCP) frameworks. Our solution addresses the critical security challenges that arise when companies deploy agentic AI systems that interact across organizational boundaries.
As AI agents become increasingly autonomous and capable of invoking tools, APIs, and services, they introduce novel attack vectors and security risks that traditional cybersecurity solutions aren't designed to address. SecureAgent is pioneering the first comprehensive security solution specifically designed for the agentic AI era, providing tools for authentication, authorization, monitoring, and governance of agent-to-agent interactions.
With our technology, enterprises can safely deploy AI agent networks with the confidence that they maintain control, visibility, and security across their entire AI infrastructure, while still enabling the powerful collaboration capabilities that make AI agents so valuable.
Technology & Solution
The SecureAgent platform consists of four integrated components that work together to secure AI agent ecosystems:
AgentGuard™ Identity & Access Management
Zero-trust authentication and authorization framework specifically designed for AI agents, with cryptographic agent identity verification and fine-grained permission controls.
ToolShield™ Invocation Security
Secures the critical tool invocation pathway with signature verification, invocation validation, and dynamic permission adjustments based on real-time risk assessment.
AgentTrail™ Monitoring & Auditing
Comprehensive activity logging and monitoring system with specialized visibility into agent-to-agent communications, tool usage patterns, and potential security anomalies.
GovernanceHub™ Central Management
Unified control plane that provides security teams with visibility and control over their entire agent ecosystem, with policy enforcement and compliance reporting.
Key Technical Differentiators:
Our platform is the first to combine traditional security concepts with new approaches designed specifically for AI systems. We've developed proprietary algorithms for intent verification, natural language policy enforcement, and semantic access control – critical capabilities for securing systems that communicate and operate using natural language.
Market Opportunity
The global AI security market is projected to grow from $22.4 billion in 2024 to $118.2 billion by 2032, at a CAGR of 23.2%. Within this, the emerging segment focused specifically on securing autonomous AI agents and their interactions represents a rapidly growing opportunity as organizations increasingly adopt agentic systems.
Key Market Drivers:
- Rapid adoption of AI agents in enterprise environments, with 65% of large organizations expected to deploy agentic AI by 2026
- Growing security concerns as AI systems gain more capabilities and autonomy
- Regulatory requirements for AI governance, including the EU AI Act and NIST AI Risk Management Framework
- Emergence of cross-organizational agent collaboration increasing the need for secure boundaries
- Lack of specialized security solutions addressing the unique challenges of AI agent ecosystems
Target Customers:
Our initial target customers are enterprise organizations with advanced AI initiatives, particularly in financial services, healthcare, and technology sectors. These companies are early adopters of AI agent technologies but face significant security and compliance challenges that must be addressed before broader deployment.
Team
Leadership:
Alon Refaeli, Chairman
Cyber security expert with extensive experience in enterprise security solutions. Leading strategic direction and security vision.Sagiv Levi, CEO
Experienced technology leader with expertise in building and scaling cybersecurity businesses. Driving company vision and operations.Moshe Balaish, CTO
Technical leader with deep expertise in AI security and agent systems. Overseeing product development and technical implementation.
Team Size:
6 full-time employees: 3 executives, 3 senior engineers with specialized expertise in AI systems, cryptography, and enterprise security
Milestones & Roadmap
Achieved:
- Core technology proof-of-concept (Feb 2025)
- Alpha version of AgentGuard module
- Research partnership with three Fortune 500 companies
Next 12-18 Months:
- Q3 2025: Complete beta of full platform
- Q4 2025: First enterprise pilot deployments
- Q1 2026: Commercial launch
- Q2 2026: Series A fundraise