The world is quickly seeing the rise of AI powered customer service. The conversational agent chatbots enhance the customer experience but also introduce a new attack vector. Here's what you need to know about strengthening AI chatbot defenses. Many AI driven technologies have access to vast data sources and access to functions that assist users. AI chatbots can be used in many ways such as answering questions about an item in stock, help develop code, to helping users reset their password.

AI chatbots such as OpenAI’s ChatGPT, Anthropic’s Claude, Meta AI and Google Gemini have already demonstrated their transformative potential for businesses, but they also present novel security threats that organisations can’t afford to ignore. In this blog post, we dig deep into ChatGPT security, outline how chatbots are being used to execute low sophistication attacks, phishing campaigns and other malicious activity, and share some key recommendations to help safeguard your business.

While the rise of ChatGPT and other AI chatbots has been hailed as a business game-changer, it is increasingly being seen as a critical security issue. Previously, we outlined the challenges created by ChatGPT and other forms of AI. In this blog post, we look at the growing threat from AI-associated cyber-attacks and discuss new guidance from the National Institute of Standards and Technology (NIST).

A recent report from Mozilla found that the recent explosion of romantic AI chatbots is creating a whole new world of privacy concerns.

Ignoring the little stuff is never a good idea. Anyone who has pretended that the small noise their car engine is making is unimportant, only to later find themselves stuck on the side of the road with a dead motor will understand this statement. The same holds true when it comes to dealing with minor vulnerabilities in a web application. Several small issues that alone do not amount to much, can in fact prove dangerous, if not fatal, when strung together by a threat actor.

Yes, AI chatbots can write code very fast, but you still need human oversight and security testing in your AppSec program. Chatbots are taking the tech world and the rest of the world by storm—for good reason. Artificial intelligence (AI) large language model (LLM) tools can write things in seconds that would take humans hours or days—everything from research papers to poems to press releases, and yes, to computer code in multiple programming languages.

It seems that Chatbots are now embedded into every digital solution at our disposal, but despite the simplicity and ease this tool provides, cyber security concerns have been raised over the AI’s ability to spread misinformation, aid hackers in developing malware and even present sensitive data leak threats.

In late 2022, artificial intelligence (AI) chat and conversational bots garnered large followings and user bases. AI chatbots, including ChatGPT, Meta’s Blender Bot3 and DeepMind, and Google’s Sparrow, have numerous benefits and uses, including potentially replacing current search engines, but there are notable drawbacks.

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.