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

HIPAA

The 2026 State of AI Runtime Control

Six months ago, the AI runtime control category didn't really exist. Today there are at least eight vendors, three open-source projects, two ongoing industry standards efforts, and a Q3 2026 AWS Marketplace category dedicated to the space.

Why Agent-to-Agent Proxies Need Deterministic Policy, Not LLM-Based Filters

When one AI agent calls another AI agent, you have a problem that didn't exist a year ago. The first agent generates a request based on its reasoning. The second agent acts on that request. Neither agent has any guarantee about what the other will actually do.

OWASP Top 10 for LLM Applications, Mapped to Vaikora Runtime Controls

The OWASP Top 10 for LLM Applications (2025 edition) is the closest thing the AI security industry has to a consensus threat model. It enumerates the ten categories of weakness that show up most often when production LLM systems go wrong.

Deterministic Policy vs LLM-Based Filters for AI Agents

The AI security industry has spent two years building safety layers that depend on the very thing they're trying to make safe. Most "AI guardrails" today work by feeding the AI's output back into anot

Build vs Buy AI Security: What Enterprises Actually Need

The realistic build path is two to three engineering quarters of focused work plus an ongoing detection-engineering tax forever. The buy path is a one-line application change. This guide is the cost-of-ownership comparison: what an in-house build actually has to cover, what an AI runtime control product covers out of the box, and the verdict line a buyer can quote.

Secure AI Development: LLM Reference Architecture

This is a reference architecture for secure AI development: an LLM application talks to its existing SDK, which routes through an inline AI gateway (Vaikora), which forwards to one of 12 supported LLM providers, while audit and detection events flow into a SIEM and identity is centralized via SAML/SCIM.

AI Gateway vs AI Firewall vs AI Proxy: Category Definitions

AI gateway, AI firewall, and AI proxy are three terms vendors use almost interchangeably for products in the AI security space — but they emphasize different jobs. An AI gateway is a routing and integration layer for LLM traffic; an AI firewall is a deny / block control plane for prompts and responses; an AI proxy is the inline transport that carries either of those jobs.

AI Security Latency: Real-Time Enforcement Explained

Can You Enforce AI Security in Real Time Without Breaking Latency? Yes — Vaikora adds about 8 ms at the median and stays under 50 ms at P99, which is well under 1% of a typical LLM round-trip time. This guide breaks down where the 8 ms goes, shows the latency histogram in text, explains the methodology behind the measurements, and addresses the three latency objections platform engineers actually raise.

How to Block PII in LLM Traffic Before It Leaves Your Environment

This guide walks through how the three redaction modes work, shows a before / after redacted-then-restored payload, presents the architecture diagram for the egress block, and explains the metadata-only audit pattern that keeps your audit log out of HIPAA / GDPR / PCI scope.