About ZXita

AI security starts with visibility.

ZXita is building AI Security Posture Management for organizations that need to understand what their AI systems and agents can access, what they can do, where exposure exists, and how that posture changes over time.

The problem

AI is becoming part of the attack surface.

AI systems are no longer isolated models. They connect to identities, data, tools, APIs, and business workflows — creating capabilities that security teams need to understand.

Security relationship map

  1. AI Agent
  2. Identity
  3. Data
  4. Tools
  5. APIs
  6. Permissions
  7. Actions
CapabilityExposure
Our view

The important security question is not only what AI is. It is what AI can do.

  • 01

    See

    Know which AI systems and agents exist, who operates them, what they connect to, and what they can access.

  • 02

    Understand

    Map identities, permissions, data, tools, APIs, and actions to understand the exposure created by those relationships.

  • 03

    Change

    Continuously identify changes in capability, permissions, integrations, and security posture.

Visibility is the foundation of AI security.

The ZXita platform

A security control plane for enterprise AI.

ZXita brings discovery, assessment, remediation, monitoring, and assurance into one security posture model.

  • Discover

    Build an inventory of AI systems, agents, models, identities, data, tools, and APIs.

  • Assess

    Evaluate capability, exposure, permissions, and AI-specific security risks.

  • Protect

    Prioritize practical remediation based on the actual capability of each AI system.

  • Monitor

    Detect changes that alter security posture over time.

  • Assure

    Connect posture, findings, controls, and evidence to support continuous assurance.

AI Agent Security

Agents change the security equation.

An AI agent can interpret information, invoke tools, access data, communicate with external systems, and take actions on behalf of an organization. That means security teams need to understand not only the model behind an agent, but also the identity and permissions through which it operates.

Agent

Customer Support Agent

Illustrative example — not a real customer or production environment.

Identity
support-agent-prod
Model
Enterprise LLM
Data
Customer CRMKnowledge Base
Tools
CRM APIEmail API
Permissions
CRM READCRM WRITEEMAIL SEND
Actions
Update customer recordSend customer email
CapabilityExposure
Our principles

Security should be understandable, actionable, and continuous.

  • 01

    Visibility first

    You cannot secure AI systems you cannot see.

  • 02

    Capability over labels

    Security posture depends on what an AI system can access and do, not simply what it is called.

  • 03

    Explainable risk

    Security findings should explain why something matters and what can be changed.

  • 04

    Continuous posture

    AI environments change. Security posture needs to change with them.

Built from Bengaluru

Built in Bengaluru. Securing the agentic enterprise.

ZXita is being built from Bengaluru, India, with a global enterprise security market in mind.

The road ahead

From AI visibility to continuous AI security.

  • Current focus

    • AI inventory
    • AI agent security
    • Capability mapping
    • Security assessment
  • Next

    • Threat modelling
    • Continuous monitoring
    • AI supply chain security
    • Security integrations
  • Long term

    • AI security control plane
    • Continuous assurance
    • Enterprise AI security intelligence

Know what your AI can do.

Start with visibility into your AI environment.