December 3, 2024 at 09:06AM At AWS re:Invent 2024, new cloud security products were announced including AWS’s incident response service and enhanced threat detection for Amazon GuardDuty using AI. Wiz launched Wiz Defend for real-time threat detection, while Sweet Security introduced a unified platform. Skyhawk Security announced interactive detection capabilities for suspicious activities. ### Meeting … Read more
December 3, 2024 at 06:55AM Amazon Web Services (AWS) launched a new incident response service that aids security teams in faster threat response and recovery using machine learning. It automates triage and analysis of security signals, offers preconfigured notifications, and allows collaboration with third-party vendors. The service is available in 12 AWS regions globally. ### … Read more
November 20, 2024 at 04:30PM A recent Dark Reading survey reveals that 91% of cybersecurity professionals believe AI and machine learning have enhanced their security operations. Key benefits include improved threat detection, reduced false positives, and increased efficiency. These tools are positively impacting enterprise security, streamlining processes, and improving response times for security teams. ### … Read more
November 20, 2024 at 12:25AM RIIG, a Charlottesville-based cybersecurity provider, leverages AI and machine learning for advanced threat detection. With partnerships among 17 intelligence agencies, it offers risk intelligence and cybersecurity solutions, including vulnerability assessments. Recently emerging from stealth, RIIG raised $3 million in seed funding to enhance product development and client support. ### Meeting … Read more
November 15, 2024 at 08:30AM Cybersecurity researchers uncovered two vulnerabilities in Google’s Vertex AI platform that could allow exploitation for privilege escalation and data exfiltration. Attackers could manipulate job permissions to access restricted resources and deploy malicious models to extract sensitive information. Google has addressed these issues, urging organizations to implement stricter model deployment controls. … Read more
November 15, 2024 at 06:07AM Artificial intelligence (AI) is transforming Identity Access Management (IAM) by enhancing monitoring, anomaly detection, and access governance. AI offers proactive security through continuous learning and adaptive responses to threats, while streamlining user experiences and reducing false positives. This evolution supports both human and non-human identities, making cybersecurity more effective. ### … Read more
November 14, 2024 at 01:03PM The commentary emphasizes the importance of vendor responsibility in addressing alert fatigue in cybersecurity. It argues that vendors should enhance their tools with smart filtering, automation, actionable alerts, and continuous engagement to help customers manage alerts effectively. A partnership approach is essential for combating modern cyber threats. ### Meeting Takeaways: … Read more
November 13, 2024 at 03:13PM Google fixed two vulnerabilities in its Vertex AI platform that could have allowed attackers to access proprietary models. Discovered by Palo Alto Networks, these flaws involved privilege escalation and model exfiltration. While threats were mitigated, researchers emphasize continued vigilance is needed to secure AI environments against potential manipulations and unauthorized … Read more
November 11, 2024 at 05:39AM Cybersecurity researchers have identified nearly 24 vulnerabilities in 15 machine learning open-source projects, including Weave and ZenML. These flaws could allow unauthorized access, remote code execution, and escalation of privileges, posing significant risks to ML infrastructure. This discovery follows previous vulnerabilities and the introduction of a new defense framework, Mantis. … Read more
November 4, 2024 at 06:26PM Artificial intelligence (AI) and machine learning (ML) are increasingly adopted in cybersecurity, enhancing tools like firewalls and antivirus systems. A Dark Reading survey found significant use in phishing detection and threat response. While many use AI/ML, adoption in areas like fraud detection and user behavior analytics remains developing. **Meeting Takeaways: … Read more