Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

To maintain an effective self-hosted security strategy, security operations centers (SOCs) must invest in advanced tools that provide deep visibility, seamless data integration, and real-time insights. As part of our latest quarterly product release, LogRhythm SIEM 7.20 delivers on these needs with exciting new updates that empower security teams to detect threats faster, analyze larger datasets, and seamlessly integrate data sources.

Imagine a world-class chess grandmaster playing multiple opponents at once—anticipating moves, spotting patterns, and staying steps ahead of every competitor. Now, imagine if that grandmaster had an AI-powered assistant, constantly analyzing past games, predicting threats, and offering guidance in real time. That is what Exabeam is bringing to security operations.

In the high-stakes world of cybersecurity, every detail matters — including the name of the technology designed to uplevel SOC teams to protect their organizations from ever-growing, ever-evolving threats. Naming isn’t just about branding; it’s about capturing purpose, function, and vision.

According to the Exabeam State of Threat Detection, Investigation, and Response Report, global cybersecurity spending is projected to grow from $92 billion in 2022 to over $170 billion by 2027, pushing security teams to invest in solutions that enhance threat detection, investigation, and response (TDIR). Many organizations have relied on on-premises security information and event management (SIEM) solutions for threat monitoring, incident response, and compliance.

Now more than ever, insider threats and compromised devices pose a significant challenge to organizations. Whether it’s a malicious insider exfiltrating sensitive data or an endpoint infected with advanced malware, these threats are often difficult to detect using conventional security tools. According to the 2023 Cost of Insider Risks Report by Ponemon Institute, insider threats cost organizations an average of $15.4 million per incident, and incidents take an average of 85 days to contain.

The cybersecurity industry is facing a new challenge: AI-generated attacks. With the rapid advancement of generative AI, cybercriminals now have access to sophisticated tools that enable them to craft highly targeted attacks with minimal technical expertise. Unlike traditional attack methods that require deep programming knowledge, AI-driven attacks allow even non-technical malicious actors to create malware, exploit scripts, and launch phishing campaigns with ease.