In AI and machine learning, providing accurate and timely information is crucial. However, equally important is an AI model’s ability to recognize when it doesn’t have enough information to answer a query and to gracefully decline to respond. This capability is a critical factor in maintaining the reliability and trustworthiness of the entire system.

When a new major CVE gets released, cybersecurity companies race to discover ways of detecting the new vulnerability and organizations scramble to determine if they are impacted or not. Developing high-confidence techniques to scan the public-facing Internet assets for newly published vulnerabilities can potentially take weeks or even months as vulnerability researchers discover and test various detection methods.

In the high-stakes world of cybersecurity, where threats evolve hourly and every endpoint is a potential vulnerability, rapid response can make or break an organisation's defences. A recent customer case study showcases how our Quick Actions feature is enhancing the way organisations handle cybersecurity incidents.

The idea that people are the weakest link has been a constant topic of discussion in cybersecurity conversations for years, and this may have been the case when looking at the attack landscape of the past. But we live in a new world where artificial intelligence (AI), large language models (LLMs) and deep fake technology are changing every day.

In recent weeks we’ve covered how criminals use bots to steal accounts across the web. Credential stuffing tools make this easy and quick to do. If you missed it, watch a live demo of the process in this webinar. In this post we’ll look in more detail at what happens next. How do criminals monetize stolen accounts? To answer this, we’ll use the example of streaming services – one of the quickest and easiest commodities for crooks to shift and make a quick profit.

“Never trust; always verify.” That’s the philosophy that drives the Zero Trust model, and it represents a major shift from the previous motto: “Trust but verify.” As threat actors have become more sophisticated, organizations have shifted their security frameworks away from a network-centric model and toward an identity-first model. Zero Trust assumes that every attempt to access an organization’s digital assets is from a threat actor until it can be proven otherwise.

This article explains what IGA is and the benefits it offers. It also clears up some misconceptions about IGA and offers guidance about what to look for when assessing candidate IGA solutions.

Every organization faces data security threats, which become more complex when integrating technologies like cloud computing or hybrid working options. That’s why it is critical to implement robust data protection to safeguard critical assets such as intellectual property, personally identifiable information, and sensitive financial data. This challenge is further augmented by the growing number of regulations imposed by governmental and industry bodies.

The EU tightens cybersecurity requirements for critical infrastructure and services with the new NIS2 Directive – what does this mean for small businesses?

Look closer before clicking that link at the top of your search results.