Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How AI Can Reduce Alert Fatigue in Your SOC

Alert fatigue is a common phenomenon in Security Operations Centers (SOCs). It’s the digital equivalent of crying wolf. As SOCs are flooded with a relentless stream of alerts—many of which are low priority or false positives—it becomes increasingly difficult to identify truly critical security threats. Analysts are stuck spending countless hours verifying, contextualizing, analyzing, and acting on information, often at the cost of missing out on critical alerts.

Reclaiming analyst time: Smarter investigations with AI in defence

How the MOD can reduce investigation fatigue and boost operational efficiency Security analysts at the UK Ministry of Defence (MOD) — and everywhere — face an overwhelming challenge: They can receive thousands of alerts daily, and distinguishing genuine threats from false positives in a timely fashion has become nearly impossible without technological intervention.

How AI is Revolutionizing Shopping Preferences: The Future of Retail

In recent years, Artificial Intelligence (AI) has significantly altered how we interact with technology, and one of the most profound areas of change is in the world of shopping. Far from being just a trend, AI has become an indispensable part of the modern shopping journey, reshaping everything from how we discover products to how we make purchasing decisions. As AI continues to evolve, it's clear that it's fundamentally transforming consumer behavior and the entire retail industry. Let's take a closer look at how AI is altering shopping habits and redefining the retail experience.

AI Security Guide: Protecting models, data, and systems from emerging threats

AI security is where traditional cybersecurity meets the chaotic brilliance of machine learning. It’s the discipline focused on protecting AI systems—not just the code, but the training data, model logic, and output—from manipulation, theft, and misuse. Because these systems learn from data, not just logic, they open up fresh attack surfaces like data poisoning, model inversion, and prompt injection.

Five Uncomfortable Truths About LLMs in Production

Many tech professionals see integrating large language models (LLMs) as a simple process -just connect an API and let it run. At Wallarm, our experience has proved otherwise. Through rigorous testing and iteration, our engineering team uncovered several critical insights about deploying LLMs securely and effectively. This blog shares our journey of integrating cutting-edge AI into a security product.

From Code to Conversations: How Modern AI Creates New Classes of Data Risk

The rise of generative AI has fundamentally changed how we work, create, and collaborate. But as organizations rush to integrate AI tools into their workflows, they're inadvertently creating entirely new categories of data risk that traditional security measures weren't designed to handle.

How to use Sysdig Sage AI vulnerability remediation for images

Sysdig empowers security to move beyond basic prioritization of individual vulnerabilities and take meaningful action by fixing the sources of those issues. By combining intelligent remediation with real-time context and integrated workflows, we’re helping organizations save time and take control of their risk.

3 CalypsoAI Alternates Analysed: Pricing, Key Capabilities, USP, Pros, & Cons

Over the past few years, enterprises have rapidly integrated GenAI into an increasing number of workflows and use cases. Amidst the rush and excitement to adopt a free tool that significantly boosts productivity, business leaders de-prioritized privacy, till it became a compliance issue. As privacy tools offering a quick patch quickly flooded the market, businesses ran into a new problem – which is the best tool?