AI is among the most disruptive technologies of our time. While AI/ML has been around for decades, it has become a hot topic with continued innovations in generative AI (GenAI) from start-up OpenAI to tech giants like Microsoft, Google, and Meta.
Anyone that utilizes technology in their daily lives understands that it is ever-changing, and the sentiment is especially true within the cybersecurity industry. Adversaries continue to evolve with new tactics to bypass defenses, so it is necessary that the methods of detecting and preventing these threats do so at an even more rapid pace.
Here at AT&T Cybersecurity, we know that the technology powering our managed detection and response services is solid—and we’ve got documentation to prove it. But we also know you’ve probably read your share of marketing materials making claims with nothing to back them up, so when we get the opportunity to share third-party metrics that support what we’ve been saying, we jump on it.
'Cyber insecurity' is among the most pressing issues facing organizations globally in 2024, according to new research from the World Economic Forum (WEF). In its Global Cybersecurity Outlook 2024 report, the WEF found that more than eight in ten organizations surveyed feel more or as exposed to cyber crime than last year.
APIs are often adopted by businesses as a way to automate certain operational tasks. This not only helps to introduce efficiencies, it also reduces the chance of human error in repetitive, manual actions. But the relationship between APIs and automation doesn’t end there. To streamline the API management process, developers have started automating a variety of tasks in the API lifecycle, from development to production.
The last decade has been challenging for the cyber industry. Attackers always seem to have the upper hand while defenders play catch up. It’s common to point to the ever-accelerating frequency and sophistication of attacks, siloed security that creates gaps, and a shortage of skilled cyber professionals as rationale for this lagging position. All are true but none represent the core reason for our current situation.
The question of whether you need antivirus (AV) for Windows devices is always up for debate. The advancements and new technology have made the operating system (OS) more secure and reliable. Nevertheless, the effectiveness and lethality of cyber threats have increased as well. And every year, millions of Windows users fall victim to various digital perils.
In cybersecurity, where information is both an asset and a potential target, various techniques are used to secure data and communications. One such covert art is steganography, which hides information within seemingly innocuous files to avoid detection. This article dives into the fascinating world of steganography, its history, techniques, and applications in the digital age.
Cybercriminals live on the cutting edge of technology, and nothing fits the label more than artificial intelligence. It helps them design sophisticated, evolving malware, pose as higher-ups, and even successfully imitate biometrics like one’s voice. The use of AI in cyber security has developed as a natural response to these new and unpredictable challenges. How are cyber security experts using artificial intelligence to thwart the bad guys?
PCI DSS (Payment Card Industry Data Security Standard) is a set of security controls created to ensure all companies that accept, process, store or transmit credit card data maintain an audit-ready environment. Version 4.0 was published in March 2022; organizations required to be compliant have until March 31, 2024, when compliance must be complete.