ZioSec

What ZioSec does

ZioSec provides an autonomous AI red team for AI agents, offering continuous, deep-chained attacks against agentic AI systems to verify their safe deployment and enable enterprise AI adoption. The platform fingerprints each agent, its model, tools, memory, and connections, then builds and executes a unique, deep-chained attack tree. Findings are converted into audit-ready evidence mapped to frameworks like OWASP AISVS, MITRE ATLAS, NIST AI RMF, ISO 42001, EU AI Act, and AIUC-1. ZioSec offers its engine through a platform, an API, or scoped engagements, addressing the new attack surface presented by AI agents that traditional security tools cannot reach. The company emphasizes continuous validation, triggered automatically as agents appear, change, and connect to new tools and data, providing actionable findings as tickets with reproduction steps for developers and audit-ready reports for risk owners.

Products

• ZioSec PlatformProvides continuous validation across an entire agent fleet, offering an operations surface for inventory, campaigns, per-agent policy, and executive risk posture. It includes a security posture dashboard, agent inventory, attack campaign scheduling, policy enforcement, risk posture reporting, and evidence & reporting features.
• ZioSec APIAllows programmatic access to the red-teaming engine, enabling users to point it at an agent endpoint and receive audit-ready evidence. It's designed for integration into TPRM, insurance, and security platforms, and for build-time agent pentesting.
• Scoped EngagementA fixed-scope, expert-led penetration test for AI agents, with the cost credited toward a platform subscription.

Key capabilities

• Autonomous AI red team
• Continuous, deep-chained attacks
• Bespoke attack trees per agent
• Audit-ready evidence mapped to OWASP AISVS, MITRE ATLAS, NIST AI RMF, ISO 42001, EU AI Act, AIUC-1
• Fleet risk overview and per-agent risk
• Remediation built into findings
• Agent inventory and auto-discovery
• Attack campaign scheduling
• Policy enforcement
• Integrations with GRC, identity, and trust platforms (Drata, Vanta, ServiceNow)
• No agent SDK required
• Findings delivered as tickets with reproduction steps
• Safe by design with controlled blast radius, simulated destructive actions, one-click stop, rate limits, and audit logs
• A2OSF methodology for classifying findings
• API for programmatic access and CI/CD integration

Use cases

• Validate agents before shipping
• Continuous agent governance for risk owners
• Agentic software on demand (CI for agents)
• Finding shadow agents and building agent inventory
• Continuous red teaming for enterprise AI agent fleets
• AI compliance for EU AI Act, NIST AI RMF, ISO 42001, AIUC-1, OWASP AISVS
• Build-time agent pentesting
• Embedding agent pentesting in TPRM & vendor risk products
• Empowering insurance & underwriting with empirical attack data
• Integrating offensive validation into security platforms

AI approach

ZioSec provides an autonomous AI red team that fingerprints each AI agent, its model, tools, memory, and connections, then builds and executes a deep-chained attack tree unique to it. It uses AI to attack AI, generating bespoke attack trees and executing them live. The system re-runs on every model, prompt, and tool change. It supports custom agents, Claude Code, MCP, A2A, and AWS Bedrock protocols.

Tech named: AI red team, deep-chained attacks, attack tree generation, A2OSF (taxonomy), AI attacks AI, Claude Code, MCP, A2A, AWS Bedrock, LangChain

What it says sets it apart

• AI attacks AI: autonomous, deep-chained attack trees generated live and bespoke per agent
• Continuous validation: re-runs on every model, prompt, and tool change
• Focus on agentic attack surface, which traditional security tools cannot reach
• Findings delivered as actionable tickets with reproduction steps, not just PDFs
• Integration into existing developer workflows (CI, Jira, GitHub Issues)
• No security background needed for developers to use findings
• Supports custom agents, Claude Code, MCP, and A2A protocols without an SDK
• Audit-ready evidence mapped to multiple compliance frameworks
• Controlled capability for live attacks with safety features

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.