With that, Radiant Security has leaped forward in providing a radical new approach to security operations. We’re thrilled that they’ve recently announced their AI-Security Operations Center (AI-SOC), which automates threat detection and significantly increases response efficiency. The AI-SOC is changing how physical and cyber security operations teams operate and collaborate. It can automatically triage incidents saving more than 40 hours per week traditionally spent on manual triage. This transformative tool is not only about initial deployment; it thrives on continuous feedback to evolve its capabilities and adapt to emerging threats.
The AI-SOC utilizes supervised learning, using reliable human labels to constantly iterate and improve the AI’s accuracy. As cyber threats become increasingly complex and sophisticated, the need for an adaptive system that can anticipate tomorrow’s challenges rather than merely recognizing yesterday’s attacks has never been more critical. Shahar Ben-Hador is CEO and Co-founder of Radiant Security. He argues that there has never been a better time to pursue a more adaptive approach, given today’s cybersecurity chaos.
Enhanced Automation and Efficiency
The AI-SOC frees up security analysts by automatically triaging 70–85% of Tier-1 alerts. This new level of automation means faster investigation speeds, with 45–61% improvement over manual workflows. Analysts can spend less of their day sifting through alerts, and more of their day detecting, remediating, and responding to what’s most important.
Because of this AI-introduced solution, false positives in that impacted category have gone down significantly. Implementing fixes during that first feedback drop cycle, the drop of between 60 to 70%. This reduction not only allows for a more accurate threat detection but increases analyst confidence in the system’s effectiveness.
“Here are five phishing emails and five legitimate ones.” – Shahar Ben-Hador
Notable MTTR improvements of 40–60% for core use cases. As a result, organizations will have security incidents resolved faster and be in a better position to mitigate damage. Faster investigation speeds and lower response times turn security teams into superheroes. They optimize for speed and can move quickly in a high stakes environment where seconds matter.
The Evolution of Threat Detection
One of the defining characteristics of Radiant Security’s AI-SOC is the fact that it’s based on continuous feedback from analysts. Our talented analysts routinely publish useful insights and detective operational knowledge to the detection process. Based on those decisions, day-in-day-out, the AI-SOC is constantly learning and improving itself. Through this iterative learning process, the system’s decision boundaries become increasingly fine-tuned. It draws on hundreds of these labeled outcomes to establish a solid baseline for threat detection.
Then by day 90 post-deployment, organizations have almost begun to see some real changes. These repercussions affect each one of the essential purpose of their Security Operations Center (SOC). After improving participation and accuracy metrics, analysts are happy to peep some serious gains. As they improve confidence, these metrics frequently bounce back to baseline levels, proving that their investment is producing results. Their iterative feedback loop creates a more collaborative environment where the human and machine learning efforts can be more easily integrated.
The AI-SOC also meets the challenge of ensuring that analysts always read documentation and apply that information correctly. By embedding operational knowledge directly into the system, it reduces the burden of memory, producing a more efficient workflow for analysts.
Future-Proofing Cybersecurity Efforts
As cyber threats keep changing and technological innovations outpace regulations, taking a proactive approach to compliance and security is fundamental for organizations looking to protect their assets. What makes Radiant Security’s AI-SOC unique is its capability to predict threats before they happen as well as manage the threats happening in real-time today. Its dynamic flexibility is helping to keep pace in an age where cybercriminals are always one step ahead and using new methods to attack vulnerabilities.
The design of the system makes it possible for it to not just be able to react to threats, but stay ahead of and adapt with them. With every iteration of feedback, it gets better at learning the patterns and outliers that indicate a risk might be lurking. This unique capability not only helps organizations defend against the threats they know, but the threats they don’t, improving their security posture across the board.