How AI-Driven Hyperautomation Can Ease Alert Fatigue

Security analysts receive thousands of alerts daily, and the onslaught is rapidly growing without any signs of slowing down. Meanwhile, cybersecurity talent is extremely difficult to recruit and retain. According to the ISC2 Cybersecurity Workforce Study 2023, the global cybersecurity workforce of about 5.5 million would need to almost double to meet the current need.

This disparity creates a constantly fatigued security team dealing with intense pressure, and it only takes one failure to identify a genuine threat amid the noise for a catastrophic cyberattack to occur.

There are several key contributors to the massive amount of alerts SecOps must contend with. These include:

• The growth and sophistication of cyberattacks, which is pushing alert volumes higher.
• SecOps teams are deploying more tools to combat modern threats, but those tools generate more alerts and noise.
• A lack of automation and orchestration between security tools requires manual processes for triage, investigation, and remediation, resulting in slower response times.

By leveraging Torq’s AI-driven hyperautomation, security teams can navigate the deluge of alerts with unprecedented agility and precision. Torq is built with horizontal scalability to handle event volumes up to 100 times greater than legacy SOAR and offers more flexible capabilities to filter, enrich, correlate, and aggregate events for automation processing. This makes the once-overwhelming flood of alerts a manageable stream of actionable intelligence to sift through the noise, close out false positives more quickly, and prioritize responses more efficiently.

The flexibility and scalability Torq offers facilitate a tailored approach to cybersecurity, allowing for the dynamic orchestration of workflows based on specific trigger conditions. Torq also offers more flexibility with trigger conditions, including templates, meaning multiple triggers look at the same event and can launch a variety of different workflows dynamically setting new standards for operational efficiency and reducing the time wasted on low-fidelity alerts.

As we look towards the future, it\’s clear Torq\’s AI-driven hyperautomation is not just a solution for today\’s problems but a foundation for tomorrow\’s cybersecurity innovation. Torq’s AI capabilities allow SecOps to use natural language prompts to build workflows, determine how alerts are received, and set thresholds, further cutting down on low-fidelity alerts. AI-powered alert enrichment provides deeper insights so SOC teams have more information about alerts and can make better decisions on how to act on them.

“For example,” said Leonid Belkind, Torq co-founder and CTO, “I could tell the platform, ‘I’d like you to take the following action if the alert is coming from a specific source and its enrichment yields an accumulated risk score above a certain threshold.’ An IT automation infrastructure can do in 15 seconds what would take a human a week to build.”

AI-driven hyperautomation streamlines and automates threat escalation and case management, reduces human intervention, and eliminates false positives, while enabling cross-team collaboration for more efficient, cohesive, and immediate response to threats.

With Torq, customers can query thousands of assets in minutes, saving hours, and any security professional of any skill level can easily connect multiple tools into an automated workflow that can run as needed — triggered from an alert, or according to schedule. This cuts through the noise of thousands of alerts and security teams only have to engage with those determined to be the most pressing, ultimately eliminating alert fatigue.

As we embrace this innovative approach, the cybersecurity community moves closer to a future where security is not just reactive, but intelligent, adaptive, and ahead of the curve.

For more information on how Torq can help your organization reduce alert fatigue and strengthen your security posture through automation, visit Torq.io.