Building software continues to look like an assembly line, with developers pulling resources from across the web to create applications. Although third-party resources have played an essential role in developing software for many years, the way that development teams use these external components looks different today.

This blog is part of the ongoing “I&O Perspectives” series, which features insights from industry experts about the impact of current threats, networking, and other cybersecurity trends. As I embark on a new role with the Netskope Platform Engineering team, I am eager to explore how our company’s vision shapes the evolution of enterprise networking security.

Read also: a Russian ransomware actor was extradited to the US, Germany cracks down on illegal crypto ATMs, and more.

Every day, headlines scream about data breaches and cyberattacks. Could your organization be next? If you’re not using Mandatory Access Control (MAC), you’re leaving your sensitive information vulnerable to unauthorized access. The fear is real – 52% of data breaches expose customer information, wreaking havoc on reputations and bottom lines. But what if you could drastically reduce this risk?

Recognizing the indicators of insider risk before they turn into threats requires a paradigm shift in the way we operate. It necessitates moving from a reactive mode of operation to proactive. And it requires data that is continuously captured and analyzed to enable security teams to easily see patterns and anomalies and gauge the level of risk of specific behaviors.

You can avoid falling for Medicare scam calls by blocking unknown numbers, refusing to give out your personal information to unsolicited callers and staying informed about common phone scams. Although all types of scams can be dangerous, scams involving Medicare endanger their targets by potentially compromising their health insurance and identity. Read more to learn what Medicare scam calls are, how they work, some common examples and how you can avoid falling for these scams.

The buzz around artificial intelligence (AI) is showing no sign of slowing down any time soon. The introduction of Large Language Models (LLMs) has brought about unprecedented advancements and utility across various industries. However, with this progress comes a set of well-known but often overlooked security risks for the organizations who are deploying these public, consumer-facing LLM applications.

An account takeover attack is a type of identity theft that occurs when a cybercriminal gains access to your online account and changes your login credentials to lock you out. Once you cannot log back in, a cybercriminal will use your identity to steal private information or even scam others. You can prevent account takeover attacks by using strong passwords, enabling Multi-Factor Authentication (MFA) and investing in dark web monitoring.