Cyber defenses generate an unprecedented, sometimes overwhelming, wealth of data and visibility for defenders. Every day, enterprises generate terabytes of data from endpoints, network devices, applications, and cloud services. This massive explosion in data, if harnessed correctly, provides the key to defending against increasingly sophisticated cyber threats.

The future of cybersecurity rests on the power of advanced data platforms, and their ability to unlock new insights and workflows for defenders. Harnessing this data, however, is no small task. Legacy Security Information and Event Management (SIEM) systems have struggled to keep pace with the evolving cybersecurity landscape. These traditional platforms are often overwhelmed by the sheer volume and complexity of today’s security data. According to one Gartner report, an alarming 60% of SIEM and Data Lake projects fail, underscoring the need for a new approach in managing security data.

In this report, we’ll explore the limitations of legacy data solutions and the transformative potential of Singularity AI SIEM. With AI SIEM, security teams are turning their security data into a strategic asset that drives better outcomes from Security Operations Center (SOC) workflows and improves defenses against the cyber threats of tomorrow.