Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

From the moment ChatGPT was released to the public, offensive actors started looking to use this new wealth of knowledge to further nefarious activities. Many of the controls we have become familiar with didn’t exist in its early stages. The ability to request malicious code or the process to execute an advanced attack was there for the asking from an open prompt. This proved that the models could provide adversarial recommendations and new attacks never before seen.

There is a pressing need to protect an organisation’s digital assets against cyber attacks and it has never been more critical. The increasing complexity and dynamic nature of IT environments mean that traditional security measures often fall short. This has led to the emergence of new defensive approaches, such as attack surface management (ASM) that proactively safeguard against cyber threats.

You trust us with your most important workflows, and we take that trust seriously. In developing AI in Tines, we’ve been laser-focused on helping users leverage AI without exposing their organizations to security and privacy risks. But we also spoke with so many teams struggling to fully realize AI's potential impact. They wanted AI to do more, while still preserving those all-important security and privacy guardrails.