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Insights on Data Security & Threat Intelligence

Data Retention, Access Control, and Classification: The Three Controls That Actually Reduce Data Security Risk

Ask any security engineer where sensitive data lives in their environment and you will get a partial answer. The honest ones will admit they are guessing...

How Cyren Threat Intelligence Detects Phishing Infrastructure Before a Campaign Goes Live

Most threat intelligence feeds tell you about attacks that already happened. Cyren's GlobalView telemetry network is built to catch phishing...

Data Classification at the Source: Why It Is the First Real Control in Enterprise Data Security

Security controls built on top of unclassified data are controls built on guesswork. You cannot enforce a retention policy, apply access restrictions, or...

Vaikora: Deterministic Policy Enforcement for AI Agents at Runtime, Before Execution

Policy decisions for AI agents are almost always applied after the fact, through logs, alerts, or incident reviews. By that point, the action has already...

Vaikora Guard MCP: An Open-Source Proxy That Enforces Policy Before Any MCP Tool Call Executes

Twelve lines of configuration are enough to let an AI agent delete records, exfiltrate files, or call a billing API it was never supposed to touch. The...

What Happens When Sensitive Data Has No Owner, No Label, and No Retention Policy

Unclassified data is ungoverned data. When your organization cannot tell you what sensitive information it holds, where that information lives, or who...

How TacitRed Uses NetFlow Telemetry and Dark-Web Signals to Surface Identity Risk Before It Becomes a Breach

NetFlow telemetry tells a story most security teams never read. When an internal host opens a connection to a known-malicious IP, that event exists in...

How to Put a Policy Gate in Front of Every MCP Tool Call, Without Rewriting Your Agent

The Model Context Protocol makes it straightforward to give an AI agent access to tools: databases, APIs, file systems, shell commands. What it does not...

Regulatory Compliance Starts With Knowing What Data You Have and Where It Lives

Compliance audits fail for a predictable reason: the organization cannot produce accurate answers about where regulated data sits, who can access it, or...