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The latest News and Information on Data Security including privacy, protection, and encryption.

Claude DLP: Secure Your Sensitive Data in Agentic AI

Anthropic Claude has become a powerhouse for enterprise organizations, supercharging everything from software engineering to data analysis. But with great agentic AI power comes an equally massive security challenge. Every prompt, snippet of code, or piece of customer PII fed into the Claude platform represents a potential data leak or compliance breach. To safely leverage AI’s full potential, CISOs and engineering leaders can no longer rely on yesterday’s security stack.

Agent Tesla Doesn't Need Admin Rights to Steal Your Business

See how Cato helps stop an Agent Tesla-style malware credential theft attack before it becomes business impact. In this demo, a remote finance user opens what appears to be a routine invoice. Behind that simple action is a common attack path: malware designed to steal credentials, keystrokes, and sensitive business data.

Beyond Masking: The Challenge of Safe Data Reveal

You can build a masking demo in an afternoon. Run a regex for credit card patterns, swap the match for XXXX, and ship it. The demo works, the compliance slide says “no PII sent to the LLM,” and everyone moves on. That demo is fooling you by leaving things out. It works because the input is a) clean (card 4111 1111 1111 1111), b) because the only sensitive thing in it is a textbook PII pattern, and c) because nobody downstream ever needs to use the value again.

AI Chatbot PII Protection with Protegrity AI Developer Edition

See how Protegrity AI Developer Edition helps protect customer PII in AI chatbot workflows. This demo shows a Guardian AI chatbot application designed for a fictional bank website. The workflow helps prevent sensitive customer data from leaking during AI-powered chat interactions by identifying and protecting PII before it is exposed. In this video, you’ll learn how developers can.

How Conversational AI Is Reshaping Guest Data Security in Hospitality

Hotels and resorts collect an enormous amount of personal information every single day. From passport details to payment cards, from travel preferences to home addresses, guest data has become one of the most valuable and most vulnerable assets in the hospitality industry. As more properties turn to automated chat systems to handle bookings, requests, and customer service, a new layer of complexity has entered the picture.

Static DLP Is Leaving You in the Dark: Why It's Time for Intelligent, Self-Serve Outbound DLP and Misdirected Content Analysis

When we think about email security, our minds almost always jump to the inbound threats: the sophisticated phishing lures, the AI-generated business email compromise (BEC) attacks, and the malicious attachments knocking at the perimeter. But there is a silent, internal crisis happening on the way out of your organization. And chances are, you’re flying completely blind to it.

Payroll Platforms Hold Your Most Sensitive Data - Here's How to Vet Them

Few business systems contain as much sensitive information as payroll software. Employee salaries, bank account details, tax records, home addresses, government identification numbers, benefits information, and employment history are all stored in one place. A single security weakness can expose data that affects not only the business but every employee on the payroll.

Top tips: How to use public Wi-Fi without handing your data to a stranger

Top tips is a weekly column where we highlight what's trending in the tech world and list practical ways to explore these trends. This week, we are tackling something almost everyone does without thinking twice: connecting to public Wi-Fi (and what it could be costing you without you ever knowing). You are at an airport, a coffee shop, or a hotel lobby. You notice your data plan is running low and scroll through the available networks. And there it is: Free Wi-Fi—no password required.

Mastering Data Exfiltration Prevention in 2026

A lot of security programs still treat data exfiltration as a downstream consequence of compromise. That framing is too narrow. The global average cost of a breach reached $4.44 million in 2025 according to Varonis's summary of 2025 data breach statistics, and that cost lands on operations, legal, compliance, and executive credibility, not just the SOC.

Why Traditional DLP Breaks in Agentic AI

A customer support agent needs a payment reference, a token or transaction ID, to issue a refund. A summarization agent reading the same ticket needs none of it. A billing agent needs only the last four digits to match a transaction. A fraud agent needs the full credit card number, but only when a case is open and only for the account it is reviewing. Traditional DLP sees one thing across all four: sensitive data, a 16-digit string that matches a card pattern. It makes one choice: block, redact, or allow.