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2025 Cybersecurity Breaches Highlight Emerging Threats

2025 Cybersecurity Breaches Highlight Emerging Threats

In 2025, cybercrime evolved with new tactics and threats, including high-profile breaches at major companies like Marks & Spencer and Jaguar Land Rover. Insider attacks surged, with employees collaborating with ransomware gangs and selling zero-day vulnerabilities. AI tools have been used to automate attacks, increasing their speed and impact. Experts predict that 2026 could see the rise of live deepfake heists and nation-states using insiders for cyberwarfare, posing new challenges for cybersecurity professionals.
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CISA Warns of Active Exploitation of WinRAR Vulnerability CVE-2025-6218

CISA Warns of Active Exploitation of WinRAR Vulnerability CVE-2025-6218

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) has added a critical vulnerability in the WinRAR file archiver, identified as CVE-2025-6218, to its Known Exploited Vulnerabilities catalog. This path traversal bug, which has a CVSS score of 7.8, allows for code execution if a user opens a malicious file or visits a compromised webpage. The vulnerability affects only Windows-based versions of WinRAR and was patched in June 2025 with the release of WinRAR 7.12. Despite the patch, the flaw is being actively exploited by threat groups such as GOFFEE, Bitter, and Gamaredon. These groups have used the vulnerability to conduct espionage and sabotage operations, including phishing campaigns targeting Ukrainian entities.
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OpenAI warns new models pose 'high' cybersecurity risk

OpenAI warns new models pose 'high' cybersecurity risk

Dec 10 (Reuters) - OpenAI on Wednesday warned that its upcoming artificial intelligence models could pose a "high" cybersecurity risk, as their capabilities advance rapidly.
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AI Integration and Workforce Data to Transform Workplace Priorities in 2026

AI Integration and Workforce Data to Transform Workplace Priorities in 2026

AI Integration and Workforce Data to Transform Workplace Priorities in 2026
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Government Tech Investments: Navigating the AI Bubble with Proven Partnerships

Government Tech Investments: Navigating the AI Bubble with Proven Partnerships

Local governments are increasingly adopting artificial intelligence (AI) to enhance operations such as permitting, inspections, and plan reviews. However, the rapid expansion of the AI vendor landscape, characterized by numerous startups and overlapping products, resembles past tech bubbles. This situation poses risks for governments investing in AI, as many startups may not reach production stages, leading to potential disruptions if vendors exit the market. A study by the Massachusetts Institute of Technology (MIT) found that AI projects developed with external partners are more likely to succeed, with a 67% deployment rate compared to 33% for internally developed projects. Governments are advised to partner with established vendors that offer stability and public-sector expertise to safeguard their investments.
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Goldman Sachs Leads $5.5 Billion Investment in Software Startup Harness

Goldman Sachs Leads $5.5 Billion Investment in Software Startup Harness

Goldman Sachs Leads $5.5 Billion Investment in Software Startup Harness
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Vaillant CISO Warns NIS2 Complexity Threatens Cybersecurity in Energy Sector

Vaillant CISO Warns NIS2 Complexity Threatens Cybersecurity in Energy Sector

Vaillant CISO Warns NIS2 Complexity Threatens Cybersecurity in Energy Sector
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Securing AI Systems: A Priority for Cyber Resilience

Securing AI Systems: A Priority for Cyber Resilience

Securing AI Systems: A Priority for Cyber Resilience
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NASA Spacecraft Vulnerability Fixed by AI After Years of Risk

NASA Spacecraft Vulnerability Fixed by AI After Years of Risk

NASA's spacecraft were reportedly vulnerable to hacking for several years due to a flaw in the authentication system, which could have allowed cybercriminals to hijack spacecraft or intercept sensitive data. This vulnerability was discovered by an AI cybersecurity algorithm developed by the California tech start-up AISLE. The AI identified the flaw and applied a fix within four days, effectively securing the communication systems between NASA's spacecraft and Earth. The vulnerability had existed undetected for three years, posing a significant risk to NASA's space missions and infrastructure.
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AI Identifies and Fixes NASA's Spacecraft Security Flaw in Record Time

AI Identifies and Fixes NASA's Spacecraft Security Flaw in Record Time

NASA recently discovered a significant security vulnerability in its spacecraft communication systems that had gone unnoticed for three years. This flaw, which could have allowed hackers to intercept or disrupt missions, was identified and rectified by an artificial intelligence system in just four days. The vulnerability was found in the software responsible for securing data transmissions between Earth-based control centers and orbiting spacecraft. The AI system, developed by a startup specializing in automated code analysis, used machine learning algorithms to scan millions of lines of code, identifying a misconfiguration in encryption protocols. This rapid intervention highlights the potential of AI-driven solutions in enhancing cybersecurity in high-stakes environments like space exploration.
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Resemble AI Secures $13 Million to Enhance AI Threat Detection Capabilities

Resemble AI Secures $13 Million to Enhance AI Threat Detection Capabilities

Resemble AI Secures $13 Million to Enhance AI Threat Detection Capabilities
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U.S. Offers $10 Million Reward for Information on IRGC-Linked Cyberattack Leaders

U.S. Offers $10 Million Reward for Information on IRGC-Linked Cyberattack Leaders

The U.S. State Department has announced a reward of up to $10 million for information leading to the capture of Mohammad Bagher Shirinkar and Fatemeh Sedighian Kashi, who are accused of conducting cyberattacks on behalf of Iran's Revolutionary Guard Corps Cyber-Electronic Command. This unit, known as Shahid Shushtari, has been involved in cyber operations targeting critical infrastructure across the U.S., Europe, and the Middle East. The group, also identified as Cotton Sandstorm and Haywire Kitten, has been active since 2018 and has been linked to efforts to influence the 2020 U.S. presidential election. The Treasury Department previously sanctioned the group and its members for these activities.