Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Trust is the cornerstone of the hospitality industry. Guests rely on you to safeguard their personal data, payment information, and loyalty rewards. However, in today's digital landscape, this trust faces constant risks. APIs, which serve as the unseen connections among various systems and applications, are particularly vulnerable to cyber threats. A single flaw can compromise sensitive data and cripple your brand’s reputation.

The year 2024 is over, so it’s time to sum up what threats were the most dangerous for DevOps and PMs. Outages, degraded service performance, vulnerabilities, cyberattacks, ransomware – all of those were appearing in media headlines all year round. Thus, for the third year in a row, we’ve decided to analyze incidents related to Git hosting services, like Azure DevOps, GitHub, GitLab, and Atlassian. Our first article in a DevOps threat landscape series is dedicated to Azure DevOps.

Since the launch of ChatGPT in late 2022, gen AI (generative artificial intelligence) has transformed nearly every facet of our lives, including our professions and workplace environments. Adoption has been driven by employees looking for faster, better ways to perform. For example, applications like ChatGPT, DALL-E, and Jasper are helping employees across industries boost productivity, overcome roadblocks, and brainstorm creative solutions.

In Part 1 of our cloud security research and guide roundup, we looked at our contributions to helping you manage cloud infrastructure, data, identities, and access. In Part 2, we share our research, insights, and guides from Datadog Security Labs and The Monitor that support the NSA’s cloud mitigation strategies in the following areas: We’ll also go beyond these common strategies to look at how security plays a role in working with LLMs.

Each year, Data Protection Day marks an opportunity to assess the state of privacy and security in the midst of technological innovation. This year’s inflection point follows a robust dialogue on AI from last week’s World Economic Forum Annual Meeting in Davos. As CrowdStrike participated in these discussions, we emphasized the importance of leveraging AI to defend against ever-evolving cyber threats and protect the very data and workloads used to power AI.

As Large Language Models (LLMs) continue to advance and integrate into various applications, ensuring LLM data privacy remains a critical priority. Organizations and developers must adopt privacy-focused best practices to mitigate LLM privacy concerns, enhance LLM data security, and comply with evolving data privacy laws. Below are key strategies for preserving data privacy in LLMs.

Do you ever wish you could lock your Android device to a single app or restrict specific functions for a more focused and secure experience? Guided Access can make it happen. This blog will guide you through everything you need to know about enabling Guided Access for Android devices, its benefits, and how miniOrange MDM can take it to the next level.

Unlike Western AI systems governed by privacy laws and ethical considerations, DeepSeek operates under a regime notorious for state-sponsored hacking, surveillance, and cyber espionage. With AI-driven automation at its disposal, China can rapidly scale its cyberattacks, embedding malware, manipulating financial markets, and eroding trust in global AI platforms.