Modern adversaries are quiet. No longer reliant on clunky malware to breach their targets, they have adopted more subtle and effective methods to infiltrate businesses, move laterally and access critical applications, steal data, impersonate users and more. They are also gaining speed: The average eCrime breakout time, now just 62 minutes, has fallen in recent years as adversaries accelerate from initial intrusion to lateral movement.

As organizations accelerate their innovation in the cloud and their adoption of AI, securing AI workloads and identities has become critical. Misconfigurations, vulnerabilities and identity-based threats expose high-value assets to potential manipulation and exploitation. For AWS customers, advancing cloud security means establishing resilient guardrails that protect innovation without compromising speed.

In today’s rapidly interconnected digital environment, third-party APIs have become fundamental for enhancing functionality and enriching user experiences. However, as seen in recent incidents like the Kaiser data breach, these third-party integrations carry risks that, if unaddressed, can lead to significant security and privacy violations.

It's not a new technique, but that doesn't mean that cybercriminals cannot make rich rewards from SEO poisoning. SEO poisoning is the dark art of manipulating search engines to ensure that malware-laced adverts and dangerous websites appear high on users' results - often impersonating legitimate businesses and organisations. But the simplest way of all to get a malicious website in front of a potential victim is to create a Google advertising account, and buy your way to the top of the search results.

With the continuing rise of ransomware, malware defenses are more critical than ever before with regard to securing the enterprise. Anti-Malware technologies have become an afterthought in many organizations, a technology that they’ve always had, always used, and never really thought about. This control serves as a reminder that this technology is as critical as it ever was and lays out the minimum requirements for ensuring your malware defenses are up to the task.

In our previous blog post in this series we showed how the immaturity of the Machine Learning (ML) field allowed our team to discover and disclose 22 unique software vulnerabilities in ML-related projects, and we analyzed some of these vulnerabilities that allowed attackers to exploit various ML services.

As organizations face the imminent threat of an IT service outage or cyberattack, they often fail to step back and understand how well they've planned to deal with the crisis. According to recent research, we know that: Perhaps the most regrettable part of it all? Almost half (45%) of these organizations already acknowledge the inadequacy of their disaster recovery capabilities.