The use of artificial intelligence in every area of life — from writing papers to maintaining critical infrastructure to manufacturing goods — is a controversial topic. Some are excited about the possibilities that come with AI/ML tech, while others are fearful and reticent. These differing opinions raise a fundamental question: will AI turn our modern-day society into a utopia or a dystopia?
Artificial Intelligence (AI) has emerged as a transformative force, reshaping industries, societies, and the way we live and work. The profound impact of AI is evident in virtually every facet of our lives, from personalized recommendations on streaming platforms to the automation of complex tasks in many industries. Join us on this data-driven journey to unravel the multifaceted world of AI and explore the numbers that underpin its significance in our rapidly evolving digital era.
Following the rush to Artificial Intelligence (AI), many companies have introduced new tools and services to the software supply chain. Some of today’s most popular AI development tools include: This assortment of tools can be used to develop a wide range of AI applications, such as chatbots, virtual assistants, and image recognition systems.
Threat actors continue to use generative AI tools to craft convincing social engineering attacks, according to Glory Kaburu at Cryptopolitan. “In the past, poorly worded or grammatically incorrect emails were often telltale signs of phishing attempts,” Kaburu writes. “Cybersecurity awareness training emphasized identifying such anomalies to thwart potential threats. However, the emergence of ChatGPT has changed the game.
On August 10th, the Pentagon introduced "Task Force Lima," a dedicated team working to bring Artificial Intelligence (AI) into the core of the U.S. defense system. The goal is to use AI to improve business operations, healthcare, military readiness, policy-making, and warfare. Earlier in August, the White House announced a large cash prize for individuals or groups that can create AI systems to defend important software from cyberattacks.
One of the biggest challenges that application security engineers are facing is the large amount of false positives from security scanners. False positives are results that indicate a vulnerability where there is none, or where the risk is negligible. Triaging these false positives wastes a lot of time.
Generative AI, large language models, and ChatGPT are dominating the headlines and people’s imaginations at the moment. While the incoming AI revolution may have some drawbacks, it also has the power to transform the way we learn, work, and play.
The accidental sharing of cloud access is an all-too-familiar story. In one latest incident, Microsoft’s AI research team accidentally exposed to the public 38 Terabytes of private data including internal messages, private keys, and passwords, according to a recent report . And all it took to cause this gigantic exposure was a few errant clicks in a configuration menu.
