NEW! Data443 Acquires VaikoraReal-Time AI Runtime Control & Enforcement for AI Agent

Data443 Vaikora vs Cyata: Agentic Identity vs Agentic Action Control

Cyata is identity-layer (who is the agent and what permissions). Vaikora is action-layer (what is the agent doing and should we block it). Complementary.

What's the difference between Data443 Vaikora and Cyata?

Cyata is an agentic identity governance product. It manages the identity, permissions, and authorization context for AI agents across the enterprise: which agent represents which business unit, what permissions does each agent have, what is the policy for delegating those permissions. Vaikora is an agentic action enforcement product. It evaluates what an agent is trying to do at the LLM-call boundary and decides allow, block, modify, or escalate. Cyata answers “who is this agent and what is it allowed to be”; Vaikora answers “what is this agent doing right now and should we stop it”.

At-a-glance comparison

CapabilityData443 VaikoraCyata
Primary focusAction enforcementAgent identity governance
Pre-execution enforcementYes, sub-500msIndirect (deny identity to deny action)
Cryptographic audit chainSHA-256, append-onlyCyata audit logs
Identity-aware policyLimitedYes, primary feature
Agent permission managementNoYes, primary feature
Open-source referenceYes, MIT gatewayCyata-managed
Compliance presetsSOC 2, HIPAA, GDPR, PCI DSS, ISO 27001Inherits Cyata platform
AWS Marketplace3 Vaikora connectors liveVia Cyata distribution
Pricing$0 open source + control plane on requestQuote-based

Side-by-side capabilities

Layer. Cyata operates at the identity and permissions layer for AI agents. Vaikora operates at the action layer. The two products do not compete; they cover different problems in the same broader agentic security program.

Enforcement model. Cyata prevents unwanted outcomes by controlling who an agent is and what permissions it has. Vaikora prevents unwanted outcomes by evaluating the action the agent is attempting. The two enforcement models compound when run together: Cyata can deny an identity context that should not exist; Vaikora can block specific actions even when the identity context is valid.

Audit chain. Vaikora signs every action decision into a SHA-256 audit chain. Cyata maintains audit logs of identity events. For audit-grade tamper-evident action records, Vaikora’s cryptographic chaining is the documented feature.

Pricing

Vaikora: MIT-licensed open-source gateway free. Commercial control plane quote-based.

Cyata: Quote-based.

How they compare: Different products, different cost-per-value math. The cost question is not Vaikora versus Cyata; it is which layers of the agent security program need coverage.

Use case fit

When Cyata is the better fit:

  • The primary problem is agent identity sprawl across the enterprise.
  • Permission delegation, role mapping, and access reviews for AI agents are first-order concerns.
  • Identity-aware policy enforcement on agent-to-agent and agent-to-tool interactions is required.

When Data443 Vaikora is the better fit:

  • The primary problem is what AI agents are doing at runtime.
  • Audit-grade SHA-256 receipts on action decisions are a hard requirement.
  • The deployment target is the LLM-call boundary, not the agent identity provider.
  • AWS Marketplace or Azure Sentinel procurement is preferred.

Integrations and architecture

Vaikora’s adapters cover OpenAI, Anthropic, Google Gemini, and OpenRouter at the LLM level. Distribution: AWS Marketplace (3 connectors), Azure Sentinel (Vaikora-AzureSecurityCenter), direct API.

Cyata integrates at the identity layer: connectors into enterprise IAM, agent platforms, and agent-to-agent communication standards.

The two products coexist by design. Run Cyata for identity governance, run Vaikora for action enforcement, feed both into the same SIEM.

Customer profile

Typical Vaikora customer: Mid-to-large enterprise with custom agent code, regulated compliance posture.

Typical Cyata customer: Enterprise security organization managing identity and permissions across many AI agents, often standardized on an enterprise IAM platform.

Migration and coexistence

The two products operate at different layers. Migration in either direction is uncommon. Coexistence is the typical pattern.

FAQ

Cyata governs agentic identity: who is the agent, what permissions does it have, who can use it. Vaikora governs agentic actions: what is the agent doing, should we allow or block. Two layers of AI security control.

For identity governance, yes. For action enforcement at the LLM-call boundary with audit-grade receipts, Cyata does not cover the same job.

For action enforcement, yes. For agent identity governance and permission management, Vaikora does not cover the same job.

Yes. The two complement each other. Common pattern: Cyata for identity; Vaikora for actions.

Two lines of code in Python or Node.js for the inline SDK. The proxy mode runs as a sidecar or hosted endpoint. Most pilot deployments are enforcing policy within the same day.

See Vaikora in action

Try the policy engine that sits in front of every AI agent action.