How can your business develop and maintain identity and access management policies that safeguard your digital assets while providing appropriate access levels? In this guide, we explore the key elements of IAM policies, their critical role in organisational security, and offer actionable insights for crafting policies that align with both business needs and regulatory demands.

In a security landscape that no longer tolerates assumptions of trust, IAM Zero Trust offers a stringent approach to protect your network. Discover how to apply ‘never trust, always verify’ effectively in our comprehensive look at IAM Zero Trust principles.

AI has undoubtedly revolutionized various industries, enhancing both efficiency and innovation through low-code and no-code platforms. Yet, this ease of development brings with it an increased burden of security. As business users and developers rapidly build applications, automations, and bots using AI, the complexity and volume of these creations amplify potential security vulnerabilities.

Businesses today rely heavily on the cloud infrastructure provided by Amazon Web Services (AWS) to drive innovation, enhance scalability, and streamline operations. However, with this reliance comes the imperative need to safeguard against potential disruptions that compromise business continuity and an organization’s reputation. This is where Disaster Recovery (DR) steps in as a critical component of any organization’s AWS strategy.

It’s been just over a year since JumpCloud and Google announced a strategic partnership to seamlessly manage your Google Workspace identities, the access they need, from any device leveraging one platform. You may be wondering what’s new, how it’s going for our customers and partners, and what benefits they’re getting from the joint solution? This article provides a condensed set of resources that make it simpler to get started with a demo or simulations.

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.

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?

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.

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.