Organizations moving to DevSecOps face challenges such as limited resources and the need for multifaceted expertise. Integrating Large Language Models (LLMs) into DevSecOps can enhance automation, reduce manual errors, and augment human capacity. Tech leaders and security experts should strategically leverage LLMs within their DevSecOps frameworks to enhance operational efficiency and drive innovation while ensuring robust security throughout the development process.
As cyberattacks become faster and more AI-driven, security teams need new tools to keep up. Read this article to explore key use cases of Agentic AI in SOCs and gain practical guidance on how to integrate it into your security operations.
Traditional API security is dead. The stark reality is that if you do not plan to adopt AI-driven or Zero-Trust architectures for API security, your enterprise is a data breach waiting to happen. CIOs and IT leaders must urgently pivot their API security strategies or face catastrophic financial, reputational, and operational fallout.
Cyberattacks are becoming more complex, prompting organizations to explore innovative solutions like digital twin technology. A digital twin is a virtual system replica that enables proactive cybersecurity threat detection and risk management. CISOs should consider integrating digital twin technology into their security frameworks to strengthen defences and stay ahead of evolving cyber threats.
With 2025 on the horizon, the time to act is now. Cyber threats are evolving rapidly, and complacency is no longer an option. CIOs, CISOs, and IT leaders must take decisive steps to safeguard their organizations against the growing sophistication of attacks and the unique challenges of modern digital environments.
The rapid integration of large language models (LLMs) into AI applications brings significant benefits but also introduces several supply chain risks. Developers and security experts using LLMs must understand AI supply chain risks and know how to mitigate them effectively.
As quantum computers threaten to break traditional cryptographic methods, the National Institute of Standards and Technology (NIST) has released the first post-quantum cryptography standards that offer crucial protection for digital infrastructure. Security experts should read this article to understand the urgency of transitioning to post-quantum cryptography and how to prepare their organizations for future cybersecurity challenges.
Cybersecurity software from vendors like CrowdStrike offers improved protection by having OS kernel access and using automatic updates to prevent zero-day attacks. This approach backfires when a bug is pushed in an update and the machine crashes due to errors at the kernel level. The CrowdStrike outage in July 2024 is an example of this issue. This downtime greatly affects operations and causes revenue loss. CISOs and IT cybersecurity teams can use agentless cybersecurity software to prevent such crashes.
A single cloud pen testing methodology is a great starting point for businesses to create a checklist or assessment. Unfortunately, one methodology can lead to missed vulnerabilities in cloud systems. Cybersecurity teams should use multiple methodologies to create a comprehensive checklist and achieve better vulnerability detection