ZioSec develops Zio, an ethical AI hacker that automates and enhances security assessments for web applications and critical infrastructure. Zio helps cybersecurity professionals, like penetration testers, identify vulnerabilities and weaknesses more efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI agents face challenges in ensuring these systems are secure against evolving threats and compliant with emerging regulations. Traditional security measures may not be sufficient to identify vulnerabilities specific to AI agents, potentially leading to unauthorized access, data breaches, and operational disruptions.
Solution
ZioSec provides a continuous AI pentesting platform that helps enterprises secure their AI agents by proactively identifying vulnerabilities and weaknesses. The platform uses offensive security techniques to rigorously test AI agents against known attacks, providing an unprecedented view into how agents behave in real-world scenarios. ZioSec's platform helps enterprises confirm their AI agents are secure in both development and deployment, and provides remediation guidance to ensure audit-readiness and compliance with standards like ISO 42001:2023, NIST AI RMF, and the EU AI Act. The platform supports the MITRE ATLAS and OWASP MAESTRO frameworks.
Target Audience
ZioSec targets enterprises across various industries, including financial services, healthcare, enterprise operations, and engineering, that are deploying AI agents and need to ensure their security and compliance.
Features
- Continuous pentesting of single and multi-agent AI systems
- Evaluation of Model Context Protocol (MCP) and Agent to Agent (A2A) protocols
- Comprehensive reporting and remediation guidance
- Compliance target testing for standards like ISO 42001:2023, NIST AI RMF, and the EU AI Act
- Utilizes MITRE ATLAS and OWASP MAESTRO frameworks