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.

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.

“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.

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.

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 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.

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 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.

Protecting PII data has never been more crucial. In today’s digital age, personal information is constantly at risk from cyber threats. Ensuring data privacy is essential for maintaining trust and compliance with regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). PII means Personally Identifiable Information. It includes data that can identify someone, like their name, address, or social security number.

This article provides a detailed guide on successfully integrating Swagger UI into web applications using EmberJs as the Javascript framework and Webpack as the module bundler. We will cover the step-by-step process, including any challenges encountered along the way and how we resolved them. For those unfamiliar with Ember Js or Webpack, we have included introductory sections to get you up to speed. If you’re already familiar with it, feel free to skip directly to the integration steps.