As the importance of APIs continues to grow and API traffic accelerates, ensuring their secure functionality is no longer an option—it is a necessity. Just think about recent hacks like the ones at T-Mobile and Finsify’s Money Lover app – which left millions of users exposed and vulnerable. As cyber threats evolve faster than ever, the quest for the perfect API security solution becomes a mission. With so many options, how do you know which fits your needs?

Building an effective Security Operations framework that provides the right balance of people, processes, and technologies can take years. Here we’ll discuss some foundational topics that can be used to grow an effective SOC Operation.

New data shows that only 3 percent of organizations are solely relying on their current cyber defenses when adding on cyber insurance, indicating that organizations are beginning to understand the true value and place of a cyber insurance policy. For the last few years, it felt like organizations were seeing cyber insurance like they do their car insurance; have an “accident” and let the policy cover it.

Lax security measures in the software development lifecycle (SDLC) can lead to severe financial repercussions for organizations. The Verizon 2024 Data Breach Investigations Report highlights this growing risk, stating, "Our ways-in analysis witnessed a substantial growth of attacks involving the exploitation of vulnerabilities as the critical path to initiate a breach when compared to previous years.

Understanding Zero Trust IoT Zero Trust IoT is a security model that requires every device to verify its identity and security before accessing any network resources. In simpler terms, it means that no device is automatically trusted, regardless of where it is connecting from. This approach helps to prevent unauthorized access and potential security breaches. With Zero Trust IoT, each device must continuously prove its trustworthiness, adding a layer of security to networks and data.

It’s July again, and all around the northern hemisphere people’s thoughts are starting to drift away from work and toward summer vacation. But here at Catalogic, the great millwheel of software innovation never stops turning!

AI isn’t what’s going to be the hot topic of the next year; it’s going to be data breaches in the supply chain and the cost that companies face by not reacting quickly to this emerging threat. The cyber attack on Change Healthcare, one of the world’s largest health payment processing companies, illustrates this point. Change Healthcare was a clearing house for 15 billion medical claims annually—accounting for nearly 40% of all claims.

AT&T reported on July 12 that an internal investigation had revealed that the telecommunication provider had been victimized by a third-party breach,resulting in the compromise of records of calls and texts of nearly all of AT&T’s cellular customers. An AT&T spokesperson confirmed to a news source that the breach resulted from of the data stolen from cloud storage firm Snowflake.

Cloud security teams are faced with an ever-increasing number of challenges. Attackers are focusing on more cloud-native attacks than ever. Meanwhile, the number of cloud service offerings—and by extension, the number of misconfigurations in them—is only growing. And there is always the risk that a sophisticated adversary could abuse a vulnerability in a cloud service provider to target cloud customers.

The high-profile case of hiQ Labs Inc vs LinkedIn Corporation (that took place in the US) shed light on the much-discussed data scraping legal issues. We know you don’t want to get lost in legalese. So, we have prepared an easy-to-read summary of the most important points of this decision. The court sided with the scraper and established that scraping public data is not a violation of the CFAA (Computer Fraud and Abuse Act).