Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cybercriminals work around the clock to discover new tactics to breach systems. Each time a digital ecosystem changes, it can introduce a weakness for a threat actor to quickly discover and exploit. As technological innovation progresses rapidly, and organizations expand their infrastructure, this weakness may take shape in the form of architecture drift. Today, we explore the concept of architecture drift: what it is, why it matters and how application security posture management (ASPM) can help.

Analysis of 2023 attacks shows how the financial services industry had a very bad year, with increases in both vendor email compromise (VEC) and business email compromise (BEC) attacks, targeting millions of dollars using very specific methods. There’s no industry that has more money than the one dealing in it. So, it shouldn’t come as a surprise that attacks on the financial services industry continue at an increasing rate.

By the end of 2025, the cost of cyber attacks on the global economy is predicted to reach $10.5 trillion. This data shows that organizations across industries must be prepared against new threats, with a focus on ensuring resilience and security. Navigating this challenging landscape requires organizations to stay up to date on upcoming security challenges.

As more people have shifted to using streaming services for shows, movies and music, keeping those accounts secure has become crucial to prevent them from being hacked. Some signs that point to your streaming account being hacked include being unable to log in to your account, unusual login attempt notifications and an upgraded account you didn’t authorize. Continue reading to learn five signs that point to your streaming account being hacked and what you should do if it is.

Organizations are experiencing explosive growth in the volume and variety of data they collect, store and process. Unfortunately, many of them do not understand what types of data they are handling — and what value that data has — so they cannot maintain proper control over it. As a result, they often suffer serious legal, financial and reputational consequences. Proper information governance can help you avoid the same fate.

In our Annual API ThreatStats report, we highlighted the increasing threat of API Leaks. An API Leak is the disclosure of sensitive API information, such as a token, credential, or private schema. These leaks can occur directly via the API itself, but also via third party tools used to manage source code, such as Github or Postman. API Leaks came in at number 4 in our dynamic top 10 list of API Security issues.

The integration of Artificial intelligence (AI) is forcing a significant transformation in the business operations landscape. Through automation, data analysis and predictive capabilities, AI is reshaping how businesses operate as companies look to spur productivity.

This week started with a cyber event targeting a Californian insurance brokerage, Keenan & Associates; the assailants garnered over 1.5 million records from the attack. GEICO also announced data from their organization was compromised, although the breach didn’t happen through them; one of their vendors was hit by the global MOVEit event, exposing the data of over 70k employees and associates.

The Government Employees Insurance Company (GEICO) is a privately owned insurance group with 18 branches in the US. They provide insurance plans for all aspects of life, including auto, motorcycle, travel, pet, homeowner, renter, and jewelry options. GEICO employs over 38,000 people nationwide, many of whom receive discounted prices for their insurance. GEICO also offers dental insurance to its employees through Delta Dental of California (DDC) and affiliates.

Protecto, the pioneer in Generative AI-driven (Gen AI) data protection, is thrilled to announce a groundbreaking partnership with Encora, a leading digital engineering services company. This collaboration marks a significant step forward in securing the future of AI and Large Language Model (LLM) applications, safeguarding sensitive data and ensuring regulatory compliance in today's increasingly data-driven world.