In late 2023, Synopsys released the “Global State of DevSecOps” report. The report explored crucial topics in the realm of DevSecOps and outlined practical approaches for implementing effective, resilient, and scalable application security (AppSec) approaches. These approaches can help organizations strengthen their AppSec programs in 2024.

Generative AI has captured the imagination of the world by being able to produce poetry, screenplays, or imagery. These tools can be used to improve human productivity for good causes, but they can also be employed by malicious actors to carry out sophisticated attacks. We are witnessing phishing attacks and social engineering becoming more sophisticated as attackers tap into powerful new tools to generate credible content or interact with humans as if it was a real person.

Today, Cloudflare is announcing the development of Firewall for AI, a protection layer that can be deployed in front of Large Language Models (LLMs) to identify abuses before they reach the models. While AI models, and specifically LLMs, are surging, customers tell us that they are concerned about the best strategies to secure their own LLMs. Using LLMs as part of Internet-connected applications introduces new vulnerabilities that can be exploited by bad actors.

The United States Cybersecurity and Infrastructure Agency (CISA) and seventeen international partners are helping shape best practices for the technology industry with their ‘Secure by Design’ principles. The aim is to encourage software manufacturers to not only make security an integral part of their products’ development, but to also design products with strong security capabilities that are configured by default.

In today's fast-paced digital landscape, developers face increasing pressure to deliver secure applications within tight deadlines. With the emphasis on faster releases, it becomes challenging to prioritize security and prevent vulnerabilities from being introduced into production environments. Integrating dynamic application security testing (DAST) into your CI/CD pipeline helps you detect and remediate vulnerabilities earlier, when they are easier to fix.

Remote monitoring and management (RMM) solutions provide flexible methods to enable MSPs to detect network or device anomalies early, facilitating proactive systems monitoring. While these tools are deployed for legitimate purposes, it is common for cybercriminals to make malicious use of them.

At any point in your cloud security journey, you should consider practical architectures, frameworks, and benchmarks that will benefit your current and future infrastructure. These tools will provide guidance directly from those who have pioneered similar solutions. Working with existing designs will speed up your efforts and provide your organization with confidence that it is following industry security standards.

Alert fatigue is a long-standing problem in cybersecurity that only increases in severity as a company grows. In that sense, alert fatigue is inextricably tied to another challenge: the need for scalability in cybersecurity. Quite often, the remedy for both is to get help, such as with a managed detection and response (MDR) service that can triage, investigate, and respond to alerts. Market numbers help illustrate the scope of the issue.

In today’s digital age, ransomware attacks have emerged as one of the most formidable threats to organizations worldwide. These malicious software attacks encrypt files on a device, rendering them inaccessible to users, and demand a ransom for decryption keys. The impact of ransomware can be devastating, leading to significant financial losses, operational downtime, and reputational damage.

Elastic® introduces Elastic AI Assistant, the open, generative AI sidekick powered by ESRE to democratize cybersecurity and enable users of every skill level. The recently released Elasticsearch Relevance Engine™ (ESRE™) delivers new capabilities for creating highly relevant AI search applications. ESRE builds on more than two years of focused machine learning research and development made possible through Elastic’s leadership role in search use cases.