Imagine a busy intersection where one self-driving car spots a pedestrian stepping out from behind a delivery truck while another vehicle, approaching from a different angle, detects the truck slowing down unexpectedly. If these two cars could combine what they see, the result would be a more complete picture that helps both vehicles anticipate hazards earlier and respond more smoothly. This kind of cooperation could reduce crashes, ease traffic flow, and make autonomous driving
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Imagine a busy intersection where one self-driving car spots a pedestrian stepping out from behind a delivery truck while another vehicle, approaching from a different angle, detects the truck slowing down unexpectedly. If these two cars could combine what they see, the result would be a more complete picture that helps both vehicles anticipate hazards earlier and respond more smoothly. This kind of cooperation could reduce crashes, ease traffic flow, and make autonomous driving
In an age when digital exchanges risk exposure to criminal and state actors, the challenge of sending information so that it stays hidden from everyone except the intended recipient, while also hiding who is speaking to whom, takes on increasing importance. A paper titled “Identity-Based Matchmaking Encryption with Enhanced Privacy Against Chosen-Ciphertext Attacks,” by Sohto Chiku, Keitaro Hashimoto, Keisuke Hara, and Junji Shikata, addresses this challenge directly by developing improved meth
The surge in security vulnerabilities stems primarily from organizations’ increasing adoption of agentic AI applications, particularly those utilizing technologies such as Model Context Protocol (MCP). This rapid deployment, combined with immature security practices and emerging attack vectors, is creating substantial risk exposure across the enterprise landscape.[1]
Senior Director Analyst at Gartner, Aaron Lord, explained that MCP's design philosophy prioritizes interoperability, ease of use,
The famed hacking group LAPSUS$ has reportedly resurfaced, claiming responsibility for a significant data breach involving the multinational pharmaceutical and biotechnology company, AstraZeneca. The group is now attempting to sell a compressed 3GB internal data dump, which suggests a potential shift towards pay-to-access extortion methods. LAPSUS$, previously known for high-profile breaches targeting major technology firms, appears to be active again with this alleged compromise of AstraZenec
Why hack when hackers are willing to sell guaranteed access to breached networks? Increasingly, cybercrooks agree they would rather outsource than bother with the tedium of actual network penetration, leading to a flourishing initial access market. Remote access to a victim's network now retails for an average price of $2,700, although about 40% of what's being sold goes for much less $500 to $1,000, noted in a report from cybersecurity firm Rapid7. Research is based on listings posted over
A leading cybersecurity, privacy, and data protection firm, Vipre Security Group, has released its Q2 2025 Email Threat Landscape Report, highlighting a significant shift in cybercriminal tactics. The report, based on an analysis of global real-world data, uncovers a growing reliance on hyper-personalized, AI-driven phishing techniques that exploit human vulnerabilities rather than traditional technological tricks. This evolution in email-based threats is raising alarms for organizations world
A job search platform exposed over 5 million resumes, putting millions of job seekers at risk of identity theft, targeted scams and fraud. The leak, discovered by cybersecurity researchers at Cybernews, comes from a misconfigured Microsoft Azure storage container that is accessible on the Internet. The unsecured cloud bucket contained more than 5.1 million files, predominantly resumes and CVs, dating from 2016 to 2025.[1]
The breach is linked to LiveCareer, a platform founded in 2004 that prov
