surveillance video system | Breaking Cybersecurity News | The Hacker News

GeoVision, a Taiwanese manufacturer of video surveillance systems and IP cameras, recently patched three of the four critical flaws impacting its card and fingerprint scanners that could've potentially allowed attackers to intercept network traffic and stage man-in-the-middle attacks. In a report shared exclusively with The Hacker News, enterprise security firm Acronis said it discovered the vulnerabilities last year following a routine security audit of a Singapore-based major retailer. "Malicious attackers can establish persistence on the network and spy on internal users, steal data — without ever getting detected," Acronis said. "They can reuse your fingerprint data to enter your home and/or personal devices, and photos can be easily reused by malicious actors to perpetrate identity theft based on biometric data." In all, the flaws affect at least 6 device families, with over 2,500 vulnerable devices discovered online across Brazil, US, Germany, Ta...

Cisco Systems has agreed to pay $8.6 million to settle a lawsuit that accused the company of knowingly selling video surveillance system containing severe security vulnerabilities to the U.S. federal and state government agencies. It's believed to be the first payout on a ' False Claims Act ' case over failure to meet cybersecurity standards. The lawsuit began eight years ago, in the year 2011, when Cisco subcontractor turned whistleblower, James Glenn, accused Cisco of continue selling a video surveillance technology to federal agencies even after knowing that the software was vulnerable to multiple security flaws. According to the court documents seen by The Hacker News, Glenn and one of his colleagues discovered multiple vulnerabilities in Cisco Video Surveillance Manager (VSM) suite in September 2008 and tried to report them to the company in October 2008. Cisco Video Surveillance Manager (VSM) suite allows customers to manage multiple video cameras at different...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...