According to hackers at this year's upcoming Black Hat conference, some of the newest stuff can defeat Microsoft Defender (the default security suite for a billion or two Windows machines) up to 8 percent of the time. Dark Reading (via Tom's Hardware) reports that a security researcher will present the system at the Black Hat security conference in Las Vegas next month. Kyle Avery of Outflank will reportedly show off a lightweight language model designed specifically to evade Microsoft Defender, the free built-in security for Windows 10 and Windows 11. Eight percent might not seem alarming, and it's not as if this would be the first time Defender was defeated. But it would be a huge leap forward in AI-powered malware's core capability, an order of magnitude more reliably dangerous than the malware you can "vibe code" with current models.

Peer review is the method employed by the scientific community for evaluating research advancements. In the field of cybersecurity, the practice of double-blind peer review is the de-facto standard. This paper touches on the holy grail of peer reviewing and aims to shed light on the performance of AI in reviewing for academic security conferences. Specifically, we investigate the predictability of reviewing outcomes by comparing the results obtained from human reviewers and machine-learning models. To facilitate our study, we construct a comprehensive dataset by collecting thousands of papers from renowned computer science conferences and the arXiv preprint website. Based on the collected data, we evaluate the prediction capabilities of ChatGPT and a two-stage classification approach based on the Doc2Vec model with various classifiers. Our experimental evaluation of review outcome prediction using the Doc2Vec-based approach performs significantly better than the ChatGPT and achieves an accuracy of over 90%. While analyzing the experimental results, we identify the potential advantages and limitations of the tested ML models. We explore areas within the paper-reviewing process that can benefit from automated support approaches, while also recognizing the irreplaceable role of human intellect in certain aspects that cannot be matched by state-of-the-art AI techniques.

The ASIAL Conference held over two-days will cover key topics including artificial intelligence and machine learning, cyber and physical security threats, digital transformation, social media crisis management as well as leading discussion into security in a post-COVID world. The ASIAL Security Conference sold out in 2017, 2018, and 2019. This year's virtual program includes a compelling line up of experts and academics who will share their insights on how to protect your business, brand reputation, and vital assets along with mitigating risk and vulnerability. As demand for security services grows, digital transformation and innovation is critical to the future growth and development of the Australian security industry. The use of technologies such as video analytics, augmented reality, cyber security and robotics will become commonplace, meaning that organisations will need to embrace change to remain competitive.