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.

Consider the case of a malicious actor attempting to inject, scrape, harvest, or exfiltrate data via an API. Such malicious activities are often characterized by the particular order in which the actor initiates requests to API endpoints. Moreover, the malicious activity is often not readily detectable using volumetric techniques alone, because the actor may intentionally execute API requests slowly, in an attempt to thwart volumetric abuse protection.

This is the second in a series of articles about cloud-based attack vectors. Check out our last article about admin takeovers! Inside the Cloud: Attacks & Prevention – Administrative Account Compromise Ransomware has long been associated with takeovers of endpoints. However, attackers are evolving to target cloud environments – and the effects can be devastating.

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.

As organizations increasingly integrate artificial intelligence (AI) into their operations, the nature of data security is undergoing significant transformation. With AI’s ability to process vast amounts of data quickly, the risk of data breaches and leaks has grown exponentially. In this context, Data Loss Prevention (DLP) has (re)emerged as a critical component for IT professionals seeking to safeguard sensitive information.