Everyone is talking about generative artificial intelligence (GenAI) and a massive wave of developers already incorporate this life-changing technology in their work. However, GenAI coding assistants should only ever be used in tandem with AI security tools. Let's take a look at why this is and what we're seeing in the data. Thanks to AI assistance, developers are building faster than ever.
Right now, organisations using AI cybersecurity tools like SenseOn can improve their cybersecurity in three core ways: But, in the future, one of the most significant benefits of AI will be its ability to protect organisations from….AI. To see why, let’s jump into a time machine.
As organizations continue to believe the malicious use of artificial intelligence (AI) will outpace its defensive use, new data focused on the future of AI in cyber attacks and defenses should leave you very worried. It all started with the proposed misuse of ChatGPT to write better emails and has (currently) evolved into purpose-built generative AI tools to build malicious emails. Or worse, to create anything an attacker would need using a simple prompt.
Ahead of the upcoming AI Safety Summit to be held at the UK’s famous Bletchley Park in November, I wanted to outline three areas that I would like to see the summit address, to help simplify the complex AI regulatory landscape. When we start any conversation about the risks and potential use cases for an artificial intelligence (AI) or machine learning (ML) technology, we must be able to answer three key questions.
In today’s rapidly evolving business landscape, organizations face an ever-increasing array of risks and compliance challenges. As businesses strive to adapt to the digital age, it has become imperative to enhance their Governance, Risk Management, and compliance (GRC) strategies. Fortunately, the fusion of artificial intelligence (AI) and GRC practices presents a transformative opportunity.
