Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Enterprises rely heavily on third-party vendors for a vast spectrum of critical services. From IT support and supply chain management to specialized consulting and cybersecurity, the reliance on external partners has increased significantly. With this reliance comes the inherent risk that these vendors may pose to enterprise operations, reputation, and regulatory compliance.

Risk assessment requires context. One of the primary challenges with protecting cloud environments is understanding how certain activity can lead to risk. Risky behavior can be categorized as any activity or action that increases the likelihood of an attack in your cloud environment. While certain activity may not be malicious on its own, it can expand an environment’s attack surface or indicate post-compromise behavior.

John Quinsey (also known as “JQ”) is a regional director at Torq with 25 years in software and SaaS sales, solving business problems with disruptive technologies. He firmly believes AI has the power to revolutionize modern security operations. Just five years ago, the average dwell time for a ransomware attack was seven months. Today, it’s five days and shrinking.

Applying robust security measures to automated software development is no longer a luxury but a necessity. CrowdStrike data scientists have developed an AI-driven, multi-agent proof of concept that leverages Red Teaming capabilities to identify vulnerabilities in code developed by AI agents. While it is still in the research stage, our work shows this advanced AI technology has the potential to revolutionize software security.

Your security team is drowning in alerts from dozens of disconnected tools. Analysts toggle between 15 different dashboards and browser tabs while critical threats slip through the cracks. Sound familiar? With organizations using an average of 60 to 75 security tools, it's becoming increasingly difficult for analysts to effectively monitor and respond to threats.

Generative AI (GenAI) is poised to revolutionize the cloud security posture management (CSPM) space, bringing intelligence, automation, and context to increase the effectiveness of managing cloud risk. Maintaining a robust security posture in the cloud can be challenging as the number of deployed cloud services increases across diverse clouds. Soon, AI-driven CSPM will play a critical role in helping security and cloud teams to keep pace with misconfigurations and compliance gaps.