Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing Charlotte AI, CrowdStrike's Generative AI Security Analyst: Ushering in the Future of AI-Powered Cybersecurity

CrowdStrike has pioneered the use of artificial intelligence (AI) since we first introduced AI-powered protection to replace signature-based antivirus over 10 years ago, and we’ve continued to deeply integrate it across our platform since. We combine the best in technology with the best of human expertise to protect customers and stop breaches.

Top Tips to Secure Your Organization from Cybercrime in Today's World | ChatGPT

In this informative video, we share our expert advice on how organizations can effectively safeguard themselves from the ever-present threat of cybercrime in today's world. By following these top tips, you can enhance your organization's cybersecurity posture and protect your valuable assets.

[Mastering Minds] China's Cognitive Warfare Ambitions Are Social Engineering At Scale

As the world continues to evolve, so does the nature of warfare. China's People's Liberation Army (PLA) is increasingly focused on "Cognitive Warfare," a term referring to artificial intelligence (AI)-enabled military systems and operational concepts. The PLA's exploration into this new domain of warfare could potentially change the dynamics of global conflict.

The Role of AI in Cybersecurity: Will it Replace Human Professionals?

In this thought-provoking video, we address one of the burning questions in the field of cybersecurity: Will AI replace human professionals in the future? While AI undoubtedly has the potential to automate certain tasks and enhance the efficiency of cybersecurity operations, it is unlikely to completely replace human cyber security professionals.

Colliding with the Future: The Disruptive Force of Generative AI in B2B Software

Over the past few months, our collective fascination with AI has reached unprecedented heights, leading to an influx of information and discussions on its potential implications. It seems that wherever we turn, AI dominates the conversation. AI has captivated the imaginations of tech enthusiasts, researchers, and everyday individuals alike. At the tender age of 11, I received my very first computer, the legendary ZX Spectrum. Looking back, it's hard to believe how much has changed since then.

An Explainer for how AI and Low-Code/No-Code are Friends, not Foes

In today’s rapidly evolving digital landscape, organizations not only seek out, but need to harness the power of emerging technologies to stay ahead of the competition. Two of the most promising trends in the tech world are generative AI and low-code/no-code development. Generative AI, in particular, has generated the majority of the headlines, with seemingly infinite use cases to spur productivity for end users and business.

Greatest Threats to Businesses Today: Insights by ChatGPT

Discover the prevailing threats that pose a constant challenge to businesses in today's ever-evolving world. Join ChatGPT as we explore the diverse array of threats faced by businesses and uncover the most significant among them. While the nature of the threat may differ based on factors such as industry and business size, several common threats prevail across the board. Cybersecurity threats, including hacking, malware, and ransomware attacks, have reached unprecedented levels of sophistication, constituting a substantial menace to businesses.

ChatGPT and Cato: Get Fish, Not Tackles

ChatGPT is all the rage these days. Its ability to magically produce coherent and typically well-written, essay-length answers to (almost) any question is simply mind-blowing. Like any marketing department on the planet, we wanted to “latch onto the news.” How can we connect Cato and ChatGPT? Our head of demand generation, Merav Keren, made an interesting comparison between ChatGPT and Google Search.

AI on offense: Can ChatGPT be used for cyberattacks?

Generative AI models have a long history in artificial intelligence (AI). It all started back in the 1950s with Hidden Markov Models and Gaussian Mixture Models, and it really evolved with the advent of Deep Learning. In the past five years alone, we have gone from models with several millions of parameters to the latest being GPT-4, estimated to have over 100 trillion parameters.