Why AI

Current Applications of Automation, AI, and ML

Maximizing the Advantages of AI, Automation, and ML in Security Operations Centers

The Importance of Human Judgment in Decision Making

Preparing for the Next Generation of Security Operations Center

What We Do

Promote the Growing Role of Automation, AI and ML in Securing Organizational Operations

Current Applications of Automation, AI, and ML

Automation, ML and AI are already successful in several areas of security landscape. These technologies can detect bad actors and create indicators of compromise to monitor for them. They can also predict how malware will evolve, create unique signatures and alert analysts to run an investigation.

They are also used in collecting and processing large amounts of security data to uncover and verify anomalous activities as real threats, and automating lower-skilled SOC tasks to protect time and focus on higher-skilled, higher-value tasks that protect the enterprise.

Maximizing the Advantages of AI, Automation, and ML in Security Operations Centers

Automation and AI helps SOC operations establish a baseline for security activity, track against it, flag activities outside established boundaries, catch suspicious activities, proactively gauge how an attack would be executed, identify vulnerabilities, and effectively combat bad actors.

AI, ML and Automation will automate efficiencies across SOCs and provide analysts with more context in real-time, but not replace them. Expect more AI cases being used to mimic bad actors, like using AI to scan, correlate with existing vulnerabilities and predict the way a bad actor would exploit an environment, providing valuable threat hunting intel to harden environments before attacks.

Preparing for the Next Generation of Security Operations Center

As bad actors become more sophisticated in evading detection, AI and automation are crucial for SOCs to improve threat detection speed and accuracy. These technologies enable skilled analysts to focus on countermeasures and threat elimination rather than sifting through data for alerts and false positives.

The Importance of Human Judgment in Decision Making

It’s a common misconception that more technology means less need for people. And that’s just not the reality. Automation, AI and ML will likely never entirely replace the need for human decision-making in security operations.

Technology can't replace human decision-making in security operations. Human thinking and abstract thinking can bypass defenses and penetrate targets that technology can't discern. The best defense against unpredictable cybercriminals is through human security analysts who can think and act like them.

AI, ML and automation should be used to augment and expedite informed decision-making, not replace security analysts. Automated enrichment that provides relevant information to analysts is crucial for understanding the battlespace and making informed decisions.

The Growing Role of Automation, AI and ML in Securing Organizational Operations

AI and automation can improve SOC operations by increasing the speed and accuracy of threat detection, allowing analysts to spend more time on countermeasures and threat elimination, and providing them with intelligence and insights to make more informed decisions. Additionally, AI and ML can enable scale by removing storage and data limitations and identifying bad actors' patterns for faster action.