Generative AI models in the style of ChatGPT are being sold that promise to help create malware, write phishing emails, set up attack sites, scan for vulnerabilities, and more. The latest DarkBART and DarkBERT projects have been trained on dark web sites.
The laws and regulations of the future will increasingly be read, analyzed and implemented by AI or by lawyers augmented with AI, and also by technology and business people, especially for SMEs who cannot afford lawyers.
A growing number of organizations are beginning to recognize the potential that AI has to dramatically improve the process of cybersecurity training by improving efficiency in areas like content development, analytics, and enhanced accessibility.
AI-based information risk assessment is allowing companies to mitigate potential security risks and even predict future attacks with greater speed and accuracy than they could ever achieve through manual processes.
The focus is now turning to the cybersecurity implications of ChatGPT and other AI/machine learning (ML) platforms especially after the recent OpenAI security incident. What are some of the key security considerations that organizations need to consider before they explore how to utilize new AI/ML solutions?
As with most technological developments, there are two sides of the coin. ChatGPT may present businesses with a never-ending pool of opportunities, but the same resource can be exploited to help criminals infiltrate systems more effectively.
ChatGPT has answers for almost everything, but there’s one answer we may not know for a while: will this tool turn out to be the genie its creators regret taking out of the bottle over unintended consequences in AI for cybersecurity?
Over half of organizations are building their AI governance approaches on top of existing and mature privacy programs. But while the commitment is often there, the tools and skills may not be as the workforce only just begins to develop.
As end users express a preference for transparency, organizations are focusing first and foremost on compliance as a means of gaining customer trust. And in the realm of AI, consumers are expressing a strong desire to opt out.
The use of AI in HR is becoming increasingly popular as organizations look for ways to streamline and automate their HR processes. What are some of the risks related to privacy, bias, and employment law? Here's some best practice advice on how organizations can use AI in HR in a responsible and ethical manner.










