Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

EP 20 - Hacking ChatGPT

Even if you’ve been living under a super-sized rock for the last few months, you’ve probably heard of ChatGPT. It’s an AI-powered chatbot and it’s impressive. It’s performing better on exams than MBA students. It can debug code and write software. It can write social media posts and emails. Users around the globe are clearly finding it compelling. And the repercussions – good and bad – have the potential to be monumental.

AI and Cybersecurity: Some observational implications of the intersection between the two

There is a possibility that artificial intelligence (AI) will have a significant influence, in either a good or bad direction, on cybersecurity. On the plus side, artificial intelligence (AI) can be used to automate and improve many parts of cybersecurity. AI can find and stop threats, find strange behavior, and look at network traffic, among other things. This might be a game-changer for the industry.

ChatGPT: Dispelling FUD, Driving Awareness About Real Threats

ChatGPT is an artificial intelligence chatbot created by OpenAI, reaching 1 million users at the end of 2022. It is able to generate fluent responses given specific inputs. It is a variant of the GPT (Generative Pre-trained Transformer) model and, according to OpenAI, it was trained by mixing Reinforcement Learning from Human Feedback (RLHF) and InstructGPT datasets. Due to its flexibility and ability to mimic human behavior, ChatGPT has raised concerns in several areas, including cybersecurity.

How Protecto's Privacy-First Approach Revolutionizes the Modern AI Data Stack

In an era where artificial intelligence (AI) is redefining industries, data privacy remains a critical challenge for enterprises. With organizations handling vast amounts of sensitive information, ensuring privacy and compliance while maintaining AI accuracy is paramount. Protecto is a new standard for securing modern AI data stack, enabling enterprises to leverage AI without compromising on data security, regulatory compliance, or operational performance.

The Impact of AI on Cybersecurity: Balancing the Risks and Opportunities

As artificial intelligence (AI) advances, I am seeing a lot of discussion on LinkedIn and in the online media about the advantages it may bring for either the threat actors (“batten down the hatches, we are all doomed”) or the security defence teams (“it’s OK, relax, AI has you covered”).

AI-generated phishing attacks are becoming more convincing

It's time for you and your colleagues to become more skeptical about what you read. That's a takeaway from a series of experiments undertaken using GPT-3 AI text-generating interfaces to create malicious messages designed to spear-phish, scam, harrass, and spread fake news. Experts at WithSecure have described their investigations into just how easy it is to automate the creation of credible yet malicious content at incredible speed.

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JUMPSEC works on a prototype lightweight anomaly detection system

Deploying machine learning models in the cyber security industry is complicated - especially with budget and technology limitations. Especially when it comes to anomaly detection, there's been much debate over privacy, balance, budget, robustness, cloud security and reliable implementation. For cyber security companies using machine learning technologies, ensuring clients' safety with trustworthy artificial intelligence (AI) must always be the primary objective.

Combining Artificial Intelligence with Threat Intelligence

One of the primary challenges that our security analysts encounter is where and how to best use their time. Monitoring and reviewing the constant influx of data and alerts produced by our client’s networks whilst also finding the time to keep on top of trending and emerging threats is no mean feat, and not particularly conducive to a healthy work-life balance…