As we keep a close eye on trends impacting businesses this year, it is impossible to ignore the impacts of Artificial Intelligence and its evolving relationship with technology. One of the key areas experiencing this transformational change is cybersecurity. The integration of AI with cybersecurity practices is imperative, and it also demands a shift in how businesses approach their defenses.
What do you get when you combine artificial intelligence (AI) and cybersecurity? If you answered with faster threat detection, quicker response times and improved security measures... you're only partially correct. Here's why.
Keeping up with threats is an ongoing problem in the constantly changing field of cybersecurity. The integration of artificial intelligence (AI) into cybersecurity is emerging as a vital roadmap for future-proofing cybersecurity, especially as organizations depend more and more on digital twins to mimic and optimize their physical counterparts.
The future is notoriously hard to see coming. In the 1997 sci-fi classic Men in Black — bet you didn’t see that reference coming — a movie about extraterrestrials living amongst us and the secret organization that monitors them, the character Kay, played by the great Tommy Lee Jones, sums up this reality perfectly: While vistors from distant galaxies have yet to make first contact — or have they? — his point stands.
Artificial Intelligence (AI) and machine learning have become integral tools for organizations across various industries. However, the successful adoption of these technologies requires a careful balance between business objectives and security requirements.
It’s no longer theoretical; phishing attacks and email scams are leveraging AI-generated content based on testing with anti-AI content solutions. I’ve been telling you since the advent of ChatGPT’s public availability that we’d see AI’s misuse to craft compelling and business-level email content.
How can developers use AI securely in their tooling and processes, software, and in general? Is AI a friend or foe? Read on to find out.
Artificial intelligence (AI) has seamlessly woven itself into the fabric of our digital landscape, revolutionizing industries from healthcare to finance. As AI applications proliferate, the shadow of privacy concerns looms large. The convergence of AI and privacy gives rise to a complex interplay where innovative technologies and individual privacy rights collide.
How is generative AI transforming trust? And what does it mean for companies — from startups to enterprises — to be trustworthy in an increasingly AI-driven world?
You may know Cloudflare as the company powering nearly 20% of the web. But powering and protecting websites and static content is only a fraction of what we do. In fact, well over half of the dynamic traffic on our network consists not of web pages, but of Application Programming Interface (API) traffic — the plumbing that makes technology work.
“Not another AI tool!” Yes, we hear you. Nevertheless, AI is here to stay and generative AI coding tools, in particular, are causing a headache for security leaders. We discussed why recently in our Why you need a security companion for AI-generated code post. Purchasing a new security tool to secure generative AI code is a weighty consideration. It needs to serve both the needs of your security team and those of your developers, and it needs to have a roadmap to avoid obsolescence.
AI and cybersecurity are top strategic priorities for companies at every scale — from the teams using the tools to increase efficiency all the way up to board leaders who are investing in AI capabilities.
In this first in a series of articles looking at how to remediate common flaws using Veracode Fix – Veracode’s AI security remediation assistant, we will look at finding and fixing one of the most common and persistent flaw types – an SQL injection attack. An SQL injection attack is a malicious exploit where an attacker injects unauthorized SQL code into input fields of a web application, aiming to manipulate the application's database.
