Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Everyone knows that running outdated computer applications comes with annoyances and risks. An outdated application might face performance issues or just become slower than modern versions. It might face compatibility issues and have limited functionalities. It might lose technical support and even fail to meet current industry standards and regulations, which could put your organization at risk for non-compliance penalties and legal action.

There has been widespread discussion about the potential impact of AI on society. While the UK Government has played an active role in shaping the conversation around the security and safety of AI, it has also demonstrated its intention to embrace AI where productivity and efficiency benefits may be found.

Software development teams face a constant dilemma: striking the right balance between speed and security. How is artificial intelligence (AI) impacting this dilemma? With the increasing use of AI in the development process, it's essential to understand the risks involved and how we can maintain a secure environment without compromising on speed. Let’s dive in.

In the ever-evolving landscape of cyber threats, a subtle yet potent form of phishing has emerged — quishing, short for QR phishing. It has been 30 years since the invention of QR codes, yet quishing still poses a significant risk, especially after the era of COVID, when QR codes became the norm to check statuses, register for events, and even order food.

Software code is constantly growing and becoming more complex, and there is a worrying trend: an increasing number of open-source components are vulnerable to attacks. A notable instance was the Apache Log4j library vulnerability, which posed serious security risks. And this is not an isolated incident. Using open-source software necessitates thorough Software Composition Analysis (SCA) to identify these security threats.

It’s a concern for families everywhere: keeping kids safe online. For parents with teenagers, there’s the added complication of trying to balance a child’s safety with their right to privacy. But is online safety just families’ problem?

The Blackjack hacking group, reportedly associated with Ukrainian intelligence services, has claimed responsibility for a significant cyberattack impacting emergency detection and response systems in Moscow and surrounding areas.

A guest post by James Berthoty the founder of Latio Tech. The shift to cloud has meant an explosion in cloud security-related acronyms – so many that it can be difficult to know what you currently have versus what’s missing or available. First we bought CSPMs (Cloud Security Posture Management), then CWPPs (Cloud Workload Protection Platforms), then CNAPPs (Cloud Native Application Protection Platform), then CDRs (Cloud Detection Response), and now KDRs (Kubernetes Detection Response).

Many of our customers use Tines and Elastic to scale security operations efforts, integrate context and data enrichment into alerts, and investigate and react to alerts faster. Today, we'll explore how these two platforms, working together, help cloud engineers drive cost savings for the organization, while maintaining optimal performance.

In a landmark development, the U.S. Department of Homeland Security (DHS) has unveiled its pioneering Artificial Intelligence Roadmap, marking a significant stride towards incorporating generative AI models into federal agencies' operations. Under the leadership of Secretary Alejandro N. Mayorkas and Chief Information Officer Eric Hysen, DHS aims to harness AI technologies to bolster national security while safeguarding individual privacy and civil liberties.