Manual and time-consuming tasks can bog down even the most robust security operations. By automating detection and remediation processes, we aim to alleviate this burden. Our automated workflows are designed to make processes more efficient by reducing complexity. Through Smart Collections and continuous feedback loops, Threat Quotient is able to capture and utilize data to improve processes and enhance visibility.
Cybersecurity and Automation
Our commitment to understanding industry needs led us to conduct a survey of cybersecurity professionals, focusing on the intersection of cybersecurity and automation. The results reaffirmed what many already know: a lack of skilled professionals remains a significant concern. However, organizations are increasingly turning to automation as a solution, recognizing its importance and committing budget accordingly.
Download the State of Cybersecurity Automation Adoption Research Report, here.
Unified Workflows
Fragmented systems and communications can hinder security efforts. By unifying these workflows, organizations can achieve a better return on their investments in Security Operations Centers (SOCs). Through data aggregation and correlation, ThreatQuotient enables organizations to manage and prioritize risks effectively, ultimately reducing challenges posed by limited resources.
Empowering Security Teams
Employee experience and satisfaction are crucial factors in any organization. By automating repetitive tasks, security professionals can focus on more challenging and fulfilling work, leading to increased satisfaction and reduced churn rates. Our automation solutions aim to enhance the overall work experience by freeing up analysts to tackle complex threats.
Customizable Integrations
ThreatQuotient integrates seamlessly with leading providers in the cybersecurity space, offering over 400 integrations in our marketplace. These integrations allow customers to leverage their existing investments and enhance their security stack effortlessly.
Understanding Threats
The Pyramid of Pain serves as a model for understanding cybersecurity threats, defining levels of indicators based on their difficulty for adversaries to alter. By automating workflows for lower-level indicators, such as domains and hashes, we enable security professionals to focus on more challenging areas, thereby reducing time to detect and respond to threats.
Access the complete text of the publication here.
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