Australian authorities recently uncovered a sophisticated drug smuggling operation involving printers. Four men from Australia were caught trying to import nearly 50 pounds of cocaine hidden inside Xerox printers. The drugs are valued at over $9 million USD. This case highlights how criminals are using everyday items in new ways to evade detection. How the
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All posts tagged in AI in Cybersecurity
Linux systems have just been hit by a second major security flaw in as many weeks. This new vulnerability, called Dirty Frag, allows attackers to gain root access on Linux servers, especially in shared environments. Security experts warn that the threat is serious and requires immediate action from system administrators. What is Dirty Frag and
OpenAI has announced a new initiative called Daybreak, aiming to strengthen cybersecurity using artificial intelligence. This move appears to be a direct response to Anthropic’s Project Glasswing, which leverages their AI model, Claude Mythos, for cyber defense. Daybreak is designed to integrate AI into security from the ground up, focusing on proactive defense rather than
Google was recently shaken by a sophisticated cyberattack that used artificial intelligence to discover a hidden flaw in its software. This breach exploited a zero-day vulnerability—an unknown security hole that developers aren’t aware of yet. The attack was halted before it could do widespread damage, but it raised serious alarms about AI’s role in cyber
Malware analysis often relies on extracting strings from executable files to find clues about malicious activity. However, cyber threats become more sophisticated, hiding their indicators of compromise (IOCs) using various obfuscation techniques. This article explores how a tool called FLARE-FLOSS can reveal hidden strings that traditional methods miss, helping analysts dig deeper into suspicious files.
In the world of cybersecurity, big models trained on vast data sets are impressive but often impractical. These large models are expensive to run, hard to keep private, and not suited for sensitive environments. Instead, smaller, specialized models that can run locally are becoming essential tools for cybersecurity defenders. The Limitations of Large, Generalist Models
Discord has fully recovered after experiencing a short outage that affected some users. The popular chat platform was temporarily unable to serve parts of its user base, causing frustration for those trying to log in or send messages. The company quickly responded and worked to resolve the issue, restoring normal service within a few hours.
Recently, a company called Anthropic revealed a new AI model named Claude Mythos. This AI is so skilled at finding security flaws in software that the company decided not to release it to the public. Instead, it’s only available to a select group of organizations to help identify and fix vulnerabilities. This move highlights how
Researchers from Singapore and China have developed a new way to simplify cybersecurity management. Their tool helps translate security rules between various SIEMs, making it easier for security teams to work across different systems. This innovation aims to reduce complexity and improve threat detection in modern security operations centers. Why Multiple SIEMs Create Challenges Security
The US Cybersecurity and Infrastructure Security Agency (CISA) has not yet gained access to Anthropic’s latest AI model, Claude Mythos. This is notable because other government agencies are already using it. The news was reported by Axios earlier this week. Despite the agency’s importance in national cyber defense, it remains on the outside looking in
