Built on Deep Neural Net Architecture
Automate the skills, techniques, and expertise of top human analysts to improve threat detection efficacy across your security operations – at machine speeds and machine scale. LogicHub’s advanced artificial intelligence (AI), Autonomous Detection & Response Assistant (AuDRA), and automation mirrors and enhances the cognitive and intuitive approach of expert security analysts and progressively learns and updates its own logic to make more accurate decisions.
What Makes LogicHub AI Threat Detection Unique
LogicHub’s sophisticated artificial intelligence, machine learning, and decision automation helps streamline threat hunting, detection, incident response, alert triage, investigation, and remediation efforts.
Advanced machine learning and factor analysis enable the automation of security decision making, improving speed and accuracy.
Automate the response to the 95% of alerts that are routine, redundant, or false positives, so your team can focus on what’s important.
Technology that continuously adapts and improves for each organization’s unique environment and business needs.
Responsive & Adaptable
Automated threat hunting that finds the needles in haystacks, and progressively learns from analyst feedback.
Chat bot AuDRA helps analysts build sophisticated scoring and decision playbooks within hours that would otherwise take weeks to build.
Fully Enriched Cases
Hundreds of alerts are consolidated into a handful of fully enriched cases with explanations, additional data, and recommended response steps.
What the analysts say about LogicHub:
“LogicHub’s attack detection innovation is “decision automation” ... It enables the skilled hunters to encode their techniques, thus capturing their expertise, and turning it into a scoring playbook and a decision playbook.”
Gartner, Emerging Technologies: Tech Innovators in AI Attack Detection – Demand Side, 2021
How LogicHub AI Threat Detection Works
Our interactive bot-based system, AuDRA, creates playbooks within minutes to hours – instead of days to weeks – and continuously learns from feedback from human analysts and data.
AI decision automation and factor analysis effectively scores risk factors across billions of data points and minimizes noise and false alerts.
Progressive machine learning algorithms capture input from human expertise, while dynamically establishing baselines for granular anomaly detection.
Learn more about AI Threat Detection
Watch a demonstration of LogicHub's next generation AI threat detection, AuDRA, in action.
Learn why your next SOC assistants are bots (and your networks will be more secure than ever).