The latest News and Information on CyberSecurity for Applications, Services and Infrastructure, and related technologies.
Generative AI projects like ChatGPT have motivated enterprises to rethink their AI strategy and make it a priority. In a report published by PwC, 72% of respondents said they were confident in the ROI of artificial intelligence. More than half of respondents also state that their AI projects are compliant with applicable regulations (57%) and protect systems from cyber attacks, threats or manipulations (55%). Production-grade AI initiatives are not an easy task.
Patrick DeVivo is a software engineer and founder of MergeStat, an open source project that makes it possible to query the contents, history, and metadata of source code with SQL. The security posture of software supply chains has been a significant topic lately. Recent high-profile breaches have shown the importance of managing risks from third party code. Take, for example, the Log4Shell vulnerability (tracked as CVE-2021-44228 — Grafana Labs was not affected).
The threat and security landscape is becoming increasingly cluttered. As incidents increase, so do alerts and notifications, leading to too many alerts and too few hours to address them. Many businesses work remote and with the ever-present smartphones, we are always on the go. Yet it is essential that security teams receive and prioritize meaningful threats, but that task is easier said than done.
According to the recent Datadog report on real world container usage, Redis is among the top 5 technologies used in containerized workloads running on Kubernetes. Redis database is deployed across multi-region clusters to be Highly Available(HA) to a microservices application.
Meta, the parent company of Facebook, has been fined a record €1.2 billion ($1.3 billion) by the European Union for violating its data privacy laws. The fine was issued by Ireland’s Data Protection Commission, which is Meta’s lead regulator in the EU, and is the largest ever levied under the EU’s General Data Protection Regulation (GDPR), which went into effect in 2018.
Static application security testing (SAST) involves analyzing source code to identify and address potential security vulnerabilities. Using SAST early in development identifies threats before they can affect a live environment. SAST is particularly important for continuous integration and continuous deployment (CI/CD) pipelines. These pipelines automate the integration of new code changes into the main codebase and deploy applications to production environments.
