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.
AI is a double-edged sword that can destroy your governance model if left unchecked. IT leaders in charge of AI adoption must embed ethical considerations into AI-driven application management now, or risk reputational blowback, regulatory fines, and mercurial black-box decision-making.
CIOs and IT leaders must now factor tariffs into every sourcing decision. By updating the classic Kraljic Matrix to include tariff risk, you can future-proof your supply chain, rebalance your vendor strategies, and avoid costly geopolitical surprises. Now is the time to rethink your sourcing matrix before it taxes your bottom line.
In the AI gold rush, all that glitters is not “open.” Confusing open-weight models with open-source ones can lead to compliance missteps and missed innovation. CIOs must understand this difference to better align their IT strategy or risk steering their organization off course.
AI models facilitate the quick generation of images for websites, social media, applications, and more. AI-generated images save money compared to hiring a graphic designer who could charge US $60/hour. SMEs may be unable to hire a prompt engineer, but becoming adept in image generation only takes practice. IT leaders and marketing professionals in SMEs can look to AI image generation as a cost-effective strategy for marketing images.
AI benefits healthcare by improving the speed of patient diagnosis. Hallucinations are one concern in this process because they can lead to incorrect treatment. Chain-of-thought (CoT) prompting solves this by instructing an LLM to use advanced reasoning to find the best possible answer. Healthcare professionals who use AI can consider using CoT prompting to improve diagnosis speed and accuracy.
The new year brings more challenges and opportunities for CIOs and IT executives. Knowing what they are and how to meet them is crucial for enterprises to excel in their respective markets. This four-part series identifies the four major trends IT leaders must navigate in 2025–the first is Artificial Intelligence (AI).
As cloud computing becomes a vital component for businesses, enterprises have struggled to keep their cloud costs from spiralling out of control. Cloud engineers and administrators should be equipped with strategies to optimize cloud expenditure and maximize return on investment.
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.
The rise in cyber-attacks and regulatory requirements has increased the need for improved security in software release processes. DevSecOps integrates security throughout the DevOps cycle, enhancing vulnerability detection and efficiency. IT leaders must grasp the importance of DevSecOps and explore cost-effective ways to integrate it into their processes.