Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In an era where data breaches, privacy violations, and regulatory fines dominate headlines, the need for robust privacy engineering has never been more critical. Yet, despite its growing prominence, privacy engineering is failing to meet the demands of businesses and consumers alike. To understand why, let’s explore what privacy engineering is, the challenges it faces, why its current state is insufficient, and the transformative shift needed to make it truly effective.

As the threat landscape evolves alongside organizations’ move toward digital-first operations and cloud-based applications, part of a robust cybersecurity strategy becomes not just preventing attacks but knowing how best to respond if and when one occurs. That response, specifically digital forensics incident response (DFIR), is the key to mitigating and recovering from a cyber incident.

Highlights include Tanium platform announcements, launch of the Tanium Titans Community Program, and a customer panel of industry leaders.

Braodo Stealer is one of the many active and evolving malware families designed to steal sensitive information, such as credentials, cookies, and system data, from compromised machines. Typically written in Python, this malware employs a variety of obfuscation techniques to conceal its true intentions, making it challenging for security solutions to identify.

The holiday season starts on Black Friday and is the busiest time of year for retailers, but it’s also a peak period for cybercriminals who look to exploit vulnerabilities in business of all sizes.

As attacks grow increasingly unpredictable and complex, cybersecurity defense requires much more than a basic strategy; it demands a proactive approach that anticipates the adversary's every move. Many MSPs entrusted with this critical mission by customers must equip themselves with the right technologies that prevent, detect, and respond to potential attacks and adapt as environments and organizational needs change.

In early 2022, a Yahoo employee, Qian Sang, exploited his access to confidential information, and stole the company’s AdLearn product minutes after receiving a job offer from a competitor. By the time the breach was discovered, the damage was extensive, costing the company millions in fines, legal fees, and lost business . This incident is not an isolated case.

Gal Peretz is Head of AI & Data at Torq. Gal accelerates Torq’s AI and data initiatives, applying his deep learning and natural language processing expertise to advance AI-powered security automation. He also co-hosts the LangTalks podcast, which discusses the latest AI and LLM technologies. To stay ahead of today’s threats, you must do more than keep pace — you need to equip your team with tools that enable smarter, faster responses.

In the world of Kubernetes, optimizing cluster performance and reliability is paramount, especially when it comes to fundamental operations like DNS lookups. NodeLocal DNSCache is one such solution that helps reduce DNS latency by caching responses locally on each node. While this tool is effective in standard Kubernetes setups, complications arise when integrating it with advanced networking solutions such as eBPF-based dataplanes.

Following the emergence of data-leak sites (DLSs) for extortion groups Kairos, Chort, and Termite, Cyjax has observed the emergence of a Tor-based site belonging to a new French-speaking Ransomware-as-a-Service (RaaS) operation called ’ContFR’. ContFR is potentially referencing well-known ransomware group Conti, whilst incorporating a reference to France.