Modern companies are rapidly adopting cloud applications and services due to scalability, cost savings, and faster time to market. DevOps teams and developers must deliver fast, secure code while protecting secrets and log files, creating a growing concern over the security risks of this digital transformation. According to a recent report, more organizations are adopting security as code (SaC) practices, with 62% of respondents citing it as a priority.
ThreatQuotient’s Perspective on Security Operations and vision for AI in the ThreatQ Platform We’re all familiar with the “speed of cybersecurity”, the rapid pace at which cyber threats evolve and the corresponding need for timely and agile defense measures. We’ve been trained to understand the importance of quickly detecting, analyzing, and mitigating cyber risks to stay ahead of attackers and protect assets in an increasingly dynamic and interconnected world.
Following the Grenfell Tower tragedy, the UK government commissioned Dame Judith Hackitt to conduct an independent review of building regulations and fire safety. In her report, "Building a Safer Future," Dame Judith proposed the use of a "Golden Thread" as a tool for managing buildings as holistic systems and enabling people to design, construct, and operate their buildings safely and efficiently.
Spending for software-as-a-service (SaaS) applications is projected to grow 17.9% to $197 billion in 2023, then grow another 17.7% to $232 billion in 2024. This rapid growth is being fueled by several factors including the desire to modernize IT environments and enable hybrid workers, who might login from a branch office one day and a hotel room the next.
Both CalPERS and CalSTRS are agencies that manage retirement funds and health benefits for retired California teachers, government employees, and more types of public service employees. These organizations handle a huge amount of personal and financial data for teachers and other individuals, and they even handle pensions for them. That's why it's so upsetting to learn that both CalPERS and CalSTRS were impacted by a recent data breach.
Smart automation in ASM refers to the application of intelligent and adaptive technologies and tools to automate the attack surface management process. By leveraging machine learning algorithms and artificial intelligence technologies, enterprises can automate discovery and threat exposure, drastically reducing the time and resources required for the process. They can also minimize false positives and false negatives.
