Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why is Privilege Access Management the linchpin of your cybersecurity strategy? Our guide delivers compelling insights into PAM—what it is, why it matters, and how the right privilege access management tactics fortify your defences against data breaches and compliance violations while securing sensitive data and critical systems.

In the realm of IoT, DDoS attacks are not just a threat but a harsh reality. This article cuts through the complexity of DDoS IoT threats, offering a clear understanding of how IoT devices are hijacked for DDoS attacks and presenting actionable strategies to protect these devices. From recognising vulnerabilities to implementing robust defences, we provide the insights you need to secure your network against the dire consequences of DDoS attacks.

Application Programming Interfaces (APIs) allow your applications to talk to one another, like an application-to-application iMessage or Signal. If you’ve ever texted a message to the wrong group chat, you’ve created a situation that mimics what broken function level authentication does between users and applications.

Cybersecurity has become a battlefield where defenders and attackers engage in a constant struggle, mirroring the dynamics of traditional warfare. In this modern cyber conflict, the emergence of artificial intelligence (AI) has revolutionized the capabilities of traditionally asymmetric cyber attackers and threats, enabling them to pose challenges akin to those posed by near-peer adversaries.

With the rapid adoption of AI-enabled services into production applications, it’s important that organizations are able to secure the AI/ML components coming into their software supply chain. The good news is that even if you don’t have a tool specifically for scanning models themselves, you can still apply the same DevSecOps best practices to securing model development.

The use of artificial intelligence (AI) for defense allows for the better scanning of networks for vulnerabilities, automation, and attack detection based on existing datasets. However this is all in defense against an unknown attacker, who can have varying offensive tools all designed to overcome the most sophisticated defense. Is the biggest challenge for defensive AI that there is an offensive AI operator with unknown capabilities? And has offensive AI lowered the barrier of entry for bot attackers?

Mobile devices are now an integral part of the way we work, and because of that, mobile security has become a necessity when it comes to protecting an organization’s data. Yet with many IT and security teams already stretched to the limit, the task of incorporating mobile security into their existing operations may seem like an impossible task.

Cloud computing offers indisputable benefits, but with the caveat that it can quickly become a disorganized jumble unless adequately managed. It’s common for the average organization to use dozens of cloud instances, solutions, and resources scattered across multiple platforms. Such off-premises services quickly accumulate to accommodate the company’s ever-growing needs. This uncurbed growth, known as cloud sprawl, creates significant economic and security challenges.