NEW! Data443 Acquires Vaikora – Real-Time AI Runtime Control & Enforcement for AI Agent
Agentic AI describes AI systems that take actions autonomously: calling APIs, invoking tools, executing code, writing to databases, sending messages, or coordinating with other agents. The defining property is that the system acts, not only that it generates text. Agentic AI is the buyer profile for AI runtime control products, including Vaikora.
The shift from chat to agent changed what AI systems are for. A chatbot returns a response and the user decides whether to act on it. An agent skips the user. It reads context, plans steps, calls tools, and reports results. The implications for security are direct: anything the agent can do, the agent can be tricked into doing, and the time-to-damage is the time-to-action.
Industry analyst forecasts in 2025 and 2026 put agentic-AI deployments in roughly 60 percent of large enterprises by end of 2026, with the most common use cases in customer support, SOC triage, developer tooling, internal IT, and finance reconciliation. Each of those domains touches systems where a wrong action has real cost.
Agentic AI is the system property; AI agent security is the discipline of securing it; AI runtime control is the runtime enforcement mechanism. Protocols like A2A and MCP define how agentic systems communicate with tools and with each other.
A SOC triage agent reads new alerts from Sentinel, correlates them against threat intelligence feeds, enriches each alert with context, and suggests a disposition. A second example: a sales operations agent watches a Slack channel for forwarded RFPs, drafts a response in a Google Doc, and assigns review to the right account executive based on territory and product fit.
The system takes actions on its own initiative rather than waiting for a human to act. The threshold is whether the AI step in a workflow can produce side effects without a human in the immediate loop.
Copilots typically suggest; agents typically act. The distinction blurs in practice because a copilot with auto-apply behavior is an agent. The relevant question is whether side effects are gated on a human.
Identity for agents, policy authoring, runtime enforcement, audit chain, observability, and red-teaming. Vaikora occupies the runtime enforcement and audit chain positions; the other components are typically supplied by adjacent products.
Excessive agency, improper output handling, supply-chain compromise, sensitive information disclosure, and prompt injection top the list. The OWASP Top 10 for Agentic Applications enumerates them with examples.
Last updated: 2026-05-20.
