Email Security

vaikora-guard-mcp: An Open-Source MCP Proxy That Blocks Policy Violations Before Tools Execute

Policy checks that run after a tool call has already executed are not really controls. They are incident reports. The whole point of putting a gate on AI...

Installing vaikora-guard-mcp: What You Get Out of the Box When You Add Policy to Every Agent Action

Most AI agent frameworks give you logging after the fact. What they do not give you is a way to block an action before it runs, based on a deterministic...

Leaked Credentials on the Dark Web: How TacitRed Finds Them Before an Attacker Uses Them

A credential found on a dark-web forum today can become an account takeover tomorrow. The window between exposure and exploitation is often short, and...

Where Data Lives, Who Can Reach It, and What Happens When Something Goes Wrong

Regulated data ends up in the wrong place constantly. A finance team exports a report to a shared drive. A developer pulls a production database snapshot...

Regulatory Compliance Requires More Than a Policy Document: How Data443 Covers the Technical Layer

Compliance auditors ask two questions: what controls do you have, and can you prove they worked? A written policy answers the first question. Without...

Data Classification at the Source: Why Labeling Data Where It’s Created Is Your First Real Security Control

Unclassified data has no policy attached to it. Without a label, every downstream control, whether access management, DLP, retention enforcement, or...

MCP Tool Call Interception: Building a Policy Gate with vaikora-guard-mcp

Every MCP tool call your AI agent makes is a decision point. Without a gate at that point, the agent decides what runs. With one, your policy does....

Before Your AI Agent Acts: How Vaikora Enforces Policy at the Point of Execution

When an AI agent decides to call a tool, write to a database, or send an API request, most organizations have no control between that decision and its...

Vaikora Guard MCP Is Now Open Source: What That Means for Policy Enforcement at the Tool Call Layer

Policy enforcement for AI agents has a placement problem. Most teams add guardrails at the application layer, after the agent has already decided what to...