Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Legacy DLP solutions, as well as CASB and app-native DLP solutions, face significant challenges in providing comprehensive coverage across modern SaaS, AI apps, and endpoints. Lack of visibility, clumsy deployments, and expensive implementations are common drawbacks of using these tools — and they leave big gaps in data loss prevention. Even today, we’re still seeing the same problems that have persisted for decades in today’s DLP solutions.

The Payment Card Industry Data Security Standard (PCI DSS) has been a critical framework for protecting cardholder data for the last two decades. It’s also presented a major — and gradually rising — compliance challenge for organizations that handle cardholder data. That challenge is set to ramp up significantly in the coming months, as security standards become even more stringent with PCI DSS 4.0 updates taking full effect in March 2025.

In our modern digital world, sensitive data protection is an essential challenge for organizations of any scale. Data breaches can translate into huge financial losses, loss of customer confidence, and heavy legal fines. Data Loss Prevention (DLP) technology plays a crucial role in protecting information, but not all DLP technologies are capable of addressing the evolving threats. Legacy DLP infrastructure, which was the norm, is no longer good enough, exposing organizations to risks.

You’re sitting in your office, staring at a screen filled with data. Customer information, financial records, sensitive business intel – it’s all there, flowing through your systems like digital lifeblood. That data, however, isn’t just sitting behind your firewall anymore. It’s zipping across cloud platforms, being crunched by AI models, and shared with partners across the globe. Welcome to the new reality of data security.

Think about how your banking app connects to payment processors or how your healthcare provider’s system shares records securely – APIs have become essential for modern digital interactions, enabling applications to communicate and share data effortlessly. However, this convenience comes at a cost: APIs often handle vast amounts of Personally Identifiable Information (PII), making them prime targets for API data exfiltration.

Insider risk is a tricky challenge for security teams: how can you tell the good actors from the bad, or intentional actions from mistakes? Anyone with approved access to endpoints and SaaS systems could expose data to exfiltration risk if those systems are focused solely on preventing outsiders from getting in.

We are in the midst of a major technological shift. And when shifts happen, new industry-defining companies emerge. The winners aren’t just those with great ideas—they are the ones who adapt and respond to change the fastest.

Having your software data is paramount: System administrators, data analysts, auditors, and software security experts face the challenge of securely extracting valuable information from Jira while ensuring efficiency, compliance, and data integrity. Fortunately, counting on reliable solutions to export issues or work items from Jira is a task that can be securely and efficiently covered.