As more companies leverage Artificial Intelligence (AI) and Large Language Models (LLMs) to maximize productivity and accelerate growth, the responsibility of safeguarding data has become increasingly critical. In this environment, robust access controls are not just a security measure but a fundamental aspect of responsible AI usage. This article will explore what access controls are, why they are essential for AI and LLM security, and how organizations can implement them effectively.

Misconfigurations (when cloud computing assets are set up incorrectly, leaving them vulnerable to unauthorized access, data breaches, and operational disruptions) and inadequate change control top the list of cloud security threats in 2024, rising from third place the year before. It's clear that the transition to cloud computing has amplified the challenges of configuration management, making it critical for entities to adopt cloud-specific configurations.

As businesses continue to embrace the flexibility and scalability of cloud-native applications managed by Azure Kubernetes Service (AKS), ensuring robust data protection for them across diverse locations, including edge environments, becomes paramount. For organizations leveraging Kubernetes at the edge with Azure Arc, the need for a comprehensive and easily managed backup and disaster recovery solution is crucial.

Zero trust access management is a cybersecurity approach that never trusts any user by default. Instead, it requires verification for every access request, regardless of whether it comes from inside or outside the network. This method ensures a higher level of security by continuously validating user identities and device statuses.

Phishing attacks occur when cybercriminals trick their victims into sharing personal information, such as passwords or credit card numbers, by pretending to be someone they’re not. Artificial Intelligence (AI) has made it easier for cybercriminals to carry out phishing attacks by writing believable phishing messages, mimicking people’s voices, researching targets and creating deepfakes.

Developers are constantly exploring new technologies that can improve the performance, flexibility, and usability of applications. GraphQL is one such technology that has gained significant attention for its ability to fetch data efficiently. Unlike the traditional REST API, which requires multiple round trips to the server to gather various pieces of data, GraphQL allows developers to retrieve all the needed data in a single request.