Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How AI is Revolutionising Cybersecurity

AI in cybersecurity refers to applying artificial intelligence (AI) techniques and technologies to defend against cyber threats. With the increasing number and complexity of cyber threats, traditional cybersecurity solutions are often insufficient. AI-driven technology, including advanced machine learning algorithms and computational models, has emerged as a powerful tool in the fight against cybercriminals.

Top 18 AI Testing Tools in 2024

The impact of AI tools on software development is starting to make itself felt. As the productivity of developers increases, so does the necessity for software testing. Luckily, AI is also seeing increasing adoption in testing, enabling dev teams to ensure robust and secure software despite increasing output. In this in-depth guide, we will explore the top 18 AI testing tools in 2023 that have the potential to take your testing processes to the next level. Overview.

Human-Crafted Phishing Emails Only Three Percent More Successful Than AI-Generated Ones, According To IBM

Red teamers at IBM X-Force warn that AI-generated phishing emails are nearly as convincing as human-crafted ones, and can be created in a fraction of the time. The researchers tricked ChatGPT into quickly crafting a phishing lure, then tested the lure against real employees.

AI Hallucinations and Manipulation: How to Use AI Coding Tools Securely (part 1)

Generative AI can help you write code faster, but is it secure? Learn how you can leverage the power of AI to increase your velocity while mitigating risks and staying secure. Learn from security experts Liran Tal & Simon Maple in a hands-on session where they walk through.

Demystifying Deep Learning: Unraveling the Brain-Inspired Evolution of AI || Razorthorn Security

Dive deep into the world of artificial intelligence with our latest video, "Unlocking the Power of Deep Learning: Exploring the Brain-Inspired Revolution in Machine Learning." In this comprehensive exploration, we'll unravel the fascinating concept of deep learning, a subset of machine learning, and understand how it's attempting to simulate the complexity of the human brain.

The Use Of AI In Cybersecurity - Consultants Roundtable || Razorthorn Security

Hello, and welcome to Razorwire. This week, I've had a great time discussing the fascinating topic of artificial intelligence (AI) and its potential impact on our industry, with my esteemed Razorthorn consultants, Tom, Jamie and Michael. We explore the different types of AI, including machine learning and chatbots, and discuss the challenges of achieving a low false positive rate and high general application. You'll gain valuable insights into the evolution of AI and why we MUST take seriously the very real potential for malicious actors to use it for nefarious purposes.

Why you need a security companion for AI-generated code

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.

Most Organizations Believe Malicious Use of AI is Close to Evading Detection

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.