The threat landscape in IT is ever-evolving, with new risks arising practically daily. Trying to anticipate the next type of threat can feel a little like playing whack-a-mole. Instead, IT teams are focusing on vulnerability management: reducing the opportunities for hackers and other bad actors to find a weakness in cyber defenses. Vulnerability management is an iterative process that allows companies to proactively defend valuable assets, no matter how the threat landscape changes.

With the rise of cloud-based applications, data loss prevention (DLP) has become an increasingly important part of information security. DLP refers to the policies and technologies used to prevent sensitive data from being lost or stolen. In the context of SaaS, this can include both the security measures implemented by the SaaS provider and the steps taken by the customer to protect their data.

In its 2022 Cost of a Data Breach report, IBM notes that for 83% of companies, it’s not if a data breach will happen — but when. The sheer volume of data, as well as the difficulty in monitoring shadow IT and the shift to remote work, means that IT security teams face a persistent and ever-changing risk landscape that makes it extremely difficult to keep information secure. Protecting sensitive data starts with data discovery.

Today, we are delighted to announce that Nightfall has launched the first and only DLP solution for Asana. As part of this launch, Nightfall has joined the Asana Partner program as an official Technology Partner. Nightfall’s solution for Asana builds comprehensive data protection into the Asana app.

The Health Insurance Portability and Accountability Act (HIPAA) was enacted in 1996 and sets forth a comprehensive set of standards for protecting sensitive patient health information. The Privacy Rule applies to all entities that fall within the definition of a “covered entity“, which generally includes healthcare providers, health plans, and clearinghouses.

The FTC Safeguards Rule, is a set of regulations promulgated by the Federal Trade Commission in order to protect the privacy of consumers’ personal information. The Rule requires financial institutions to develop, implement, and maintain a comprehensive information security program designed to safeguard customer information.

When two companies merge, there is typically a lot of data that needs to be transferred between the two organizations. This data may include confidential information such as customer records, financial reports, and employee data. If this data falls into the wrong hands, it could be used to commit fraud or theft. That’s where data loss prevention (DLP) comes in.

Strong data loss prevention requires two things: a strong policy that guides user actions and permissions, and the tools to monitor and manage data security. Many organizations know they need to invest in software, platforms, and other security settings to create secure networks, endpoints, and cloud settings. But not every organization has a strong DLP policy to guide these tools. Many compliance regimes require companies to record data loss prevention policies.