DefendTheCloud

Deepfakes and AI Driven Fraud: Understanding Synthetic Threats and How to Defend Against Them Artificial intelligence is transforming industries at an unprecedented pace. At the same time, it is creating a new generation of cyber threats that are more convincing, scalable, and difficult to detect than traditional attacks. Among these emerging risks, deepfakes and synthetic identity fraud have become major concerns for businesses, financial institutions, and individuals. From fraudulent CEO voice calls that trigger unauthorized payments to fake identities used to bypass onboarding systems, AI-driven fraud is no longer theoretical. It is already impacting organizations worldwide. Understanding how these attacks work and how to defend against them is now essential for modern security strategies.  What Are Deepfakes and AI-Driven Fraud Deepfakes are synthetic media generated using artificial intelligence models that can replicate human faces, voices, or behaviors with remarkable realis...

Each week’s news is filled with stories of companies that have suffered a cloud breach that could have been prevented. In 2024 the cost to organisations of exposed cloud storage buckets, wrongly configured IAM roles and leaked API keys has already run into $100m plus. The most painful part? Each of these events could have been avoided; they were not caused by a sophisticated zero-day exploit, but rather someone did not do the basics correctly. If you are deploying to AWS, managing your cloud infrastructure, or learning about DevOps, this guide is your practical field manual. We will present you with the cloud security mistakes that the security teams continue to see being made, and how to avoid making them. The Reason behind Persistent Cloud Misconfigurations You may ponder why cloud misconfiguration risks, although they are acknowledged, still result in multiple breaches. Some factors contribute to this situation: speed, complexity, and visibility. Cloud environments grow rapidly. For...

 TL;DR: Someone misconfigured an Amazon S3 bucket which caused it to leak 47 million customer records within 72 hours. The S3 bucket had an excessive number of public ACL permissions, was not encrypted, and also had the wrong AWS IAM permissions assigned to them. In addition, the attacker gained access to this bucket by using a free tool that did not require them to have any credentials. This article will describe all steps taken by the attacker to reconstruct all steps taken to commit this act, provide a list of detailed technical failures that led up to the breach, as well as offer an AWS security checklist so you will have a similar experience. The Monday Morning Mess A Slack message arrived at 6:47 am to give the Security Lead her wake-up call. Another alert and then a torrent of other alerts arrived - 37 messages and one link by the time the security lead opened her laptop. The link went to a "Fresh Dump" of 47M records, PII+/, and partial credit card details - all avail...

TL;DR; The ability for attackers to successfully attack the cloud has increased due to the creation of generative AI. By 2025, attackers are capable of using generative AI to create very realistic phishing attempts and automatically generate exploit code. Attackers can now automatically map out any cloud environment at machine speed and evade detection systems that were trained on previous attack patterns or methods. This post provides a detailed overview of how these AI-based cyberattacks occur and what AWS Cloud Security Best Practices can be applied today to help to mitigate the risk of this type of cyber attack. Why GenAI Is Fundamentally Changing the Cloud Security Threat Landscape In previous years, sophisticated attacks on cloud infrastructures have required a high degree of knowledge and skill. This meant expertise in understanding AWS IAM policy logic, an understanding of chaining API calls for privilege escalation, and experience with writing code that is clean enough not to ...

A significant data breach occurred at Coupang, a major online shopping platform in Asia, in December 2025. This incident has resulted in millions of customers’ data being accessed with unauthorized access to names, contact numbers, details of card payments and order history. As industrial institutions continue to migrate towards a cloud-native application platform along with high-cycle DevOps methodologies, incidents like this demonstrate one critical fact; security should never be an afterthought. Coupang serves as a case study for developers, cloud engineers and security personnel on how things could be executed successfully. This article will examine what went wrong during this incident, how could attackers have taken advantage of vulnerabilities within Coupang’s systems, and how with compliant security methodologies such activities could be avoided in the future. What Happened During the Coupang Breach? According to public information and cybersecurity reports, attackers stole de...