Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to Stop Data Leaks Using DLP and OCR?

Data leaks are no longer rare incidents. They have become a constant concern for organizations of all sizes. A single exposed file can lead to compliance violations, financial penalties, and long-term damage to brand reputation. In many cases, the impact builds over time as sensitive data spreads beyond control. At the same time, the nature of data has changed. Important information is no longer limited to structured formats like databases or spreadsheets.

What is Data Leakage Protection and Why Is It Essential for Businesses

Data is a critical asset for modern businesses, so keeping it safe becomes extremely important. Cybercriminals use sophisticated methods to steal data, but these threats can be mitigated through Data Loss Prevention (DLP). It is a security framework that includes policies and tools to protect data from attackers and unauthorized access. Many organizations use DLP to protect confidential data from external threats and accidental exposure. Organizations that lack a strong DLP plan risk exposing their data.

Data Leakage: AI's Plumbing Problem

Sensitive information disclosure ranks on the OWASP Top 10 for LLM Applications, and for good reason. When AI-powered applications inadvertently expose private data like personally identifiable information (PII), financial records, health information, API keys, or proprietary business intelligence, the consequences cascade quickly: regulatory violations, competitive disadvantage, and shattered user trust.

How Contractor Privileged Access Failures Exposed Data Across 45 Federal Agencies

Earlier this year, twin brothers Muneeb and Sohaib Akhter, both government contractors, were fired from their employer. Minutes later, they began a weeklong insider attack that compromised or destroyed data belonging to more than 45 federal agencies.

AI Data Loss Risks In Jira You Can't Ignore

Artificial Intelligence is everywhere nowadays. It helps teams to be more productive, but at the same time, it can threaten your critical project management data. The introduction of AI into Jira opened up new paths for attackers to exploit, new vulnerabilities coming up internally, and human errors. So, in this article, let’s speak about AI data loss in Jira and what measures to take to protect your sensitive data in Jira Cloud.

How to Prevent Website Data Leaks: GDPR, HIPAA, PCI DSS Compliance

Website data leaks don’t require hackers. They happen when legitimate scripts, analytics pixels, and chat widgets transmit sensitive data to third parties through routine operations. Traditional security tools miss these leaks because they monitor server-side traffic while the exposure occurs in customer browsers. This visibility gap is why organizations use client-side monitoring platforms to detect browser-level data flows that security tools can’t see.

SecurityMetrics Wins "Data Leak Detection Solution of the Year" in 2025 CyberSecurity Breakthrough Awards Program

SecurityMetrics, a leading innovator in compliance and cybersecurity, today announced that its Shopping Cart Inspect (SCI) solutions has been selected as winner of the "Data Leak Detection Solution of the Year" award in the 9th annual CyberSecurity Breakthrough Awards program. Conducted by CyberSecurity Breakthrough, an independent market intelligence organization, the annual program recognizes the most innovative companies, products, and technologies driving progress in the global information security industry.

Red Hat Targeted in Massive Data Leak After Scattered LAPSUS$ Hunters Joins Forces with Crimson Collective

Researchers at Foresiet are actively investigating a major data leak targeting Red Hat, following claims made by Scattered LAPSUS$ Hunters, who have reportedly joined forces with the Crimson Collective, following claims made by the Scattered LAPSUS$ Hunters, who have reportedly teamed up with the Crimson Collective.

Enterprise AI Security Redefined: Protecto vs. Traditional DLPs

Protecto replaces the patchwork of DLPs and DSPMs with AI-native controls, so you can safely unlock enterprise data for AI. Prompts, models, and context power Agentic AI. But context is also the most volatile and exposed layer - where 90% of enterprise AI risks originate. Intellectual property loss, unauthorized access, privacy violations, compliance failures - all start in the context. That’s why Protecto brings Zero Trust controls to data in AI.

Would You Like Data Leaks With That?

It’s been a rough few weeks for burger chains. First, McDonald’s McHire chatbot was caught serving up candidate data through insecure APIs. Then Restaurant Brands International (RBI), home of Burger King, Tim Hortons, and Popeyes, had its APIs flame-broiled by attackers who discovered they could generate tokens without authentication, escalate privileges, and even eavesdrop on live drive-thru audio. When APIs become the secret sauce, leaving them unprotected is a recipe for disaster.