Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

This is a continuation of the series on web application security. If you haven't already read through part 1, this is a good time to go back. If not, let's move on and answer the question left hanging during our last installment: how do browsers know which site set the cookies in the first place? And what constitutes the same site?

Human risk management (HRM) has become a more established category in recent years. This development signals a crucial shift towards enabling security teams to accurately quantify and manage workplace risks. With the rise of HRM, a variety of new technologies have also emerged on the market. However, how do you navigate the sea of buzzwords and shiny promises to pick the solution that's right for you?

‍ As the cost and frequency of cyber events grow, technologies evolve, and regulatory bodies enact stricter cybersecurity laws on the market, it’s become exceedingly clear that elevating cyber matters to the boardroom is a strategic imperative.

As apps become more complex and development speeds up with DevOps, cloud-native tech, and AI, having a comprehensive approach to managing application risk is more important than ever. Traditional methods just aren’t cutting it anymore. Security teams are overwhelmed by vulnerabilities, and developers aren’t getting the guidance they need on what to focus on first. This gap between security and development is leaving apps more vulnerable.

I've spent over 35 years as a trainer in various capacities, so it might surprise you to hear me say that training alone isn't enough to change behaviours—particularly when it comes to security. This isn't just my opinion; it's a conclusion from our State of Human Risk Management in 2024 Report. To understand why training isn't the full solution, we need to delve into the field of human error. Mistakes—errors caused by wrongly applied knowledge—can often be corrected with training.

Organizations face an increasing number of software security threats that can compromise their sensitive data and disrupt business operations. To effectively manage these risks and enhance their security posture, it’s crucial for organizations to adopt modern application risk reduction strategies that not only mitigate potential vulnerabilities but also provide clear, actionable next steps and insights for reporting purposes.

Enterprise applications, whether on-premise or in the cloud, access LLMs via APIs hosted in public clouds. These applications might be used for content generation, summarization, data analysis, or a plethora of other tasks. Riscosity’s data flow posture management platform protects sensitive data that would otherwise be accessible to LLM integrations.