At Cribl, we have the privilege of helping our customers achieve their strategic data goals by giving them visibility and control over all of their observability data. The reality today is that data is commonly stored across many places. Whether intentional (such as using Cribl Stream to create a security data lake) or unintentional (because of silos and tool sprawl), organizations desire the ability to access and analyze all of this information at any time.

Find out about different network security device types and their uses.

If you ask any ServiceNow employee about their role, they'll likely tell you their job and team are the best they’ve ever had. One small but mighty team proclaims this proudly: the red team, a group of professional hackers. As vigilant guardians of the company, the six-person team is tasked with testing the security of our systems and identifying cyber risks, data vulnerabilities, and security threats.

In today’s increasingly data-driven business landscape, security and compliance are more important for enterprise software than ever before. In an age where high-profile data breaches and regulatory violations seem to make headlines more frequently, enterprises must prioritize the protection of sensitive information while ensuring compliance with an exceedingly complicated labyrinth of legal and industry-specific requirements.

The cybersecurity industry is experiencing an explosion of innovative tools designed to tackle complex security challenges. However, the hype surrounding these tools has outpaced their actual capabilities, leading many teams to struggle with complexity and extracting value from their investment. In this conversation with Optiv‘s Randy Lariar, we explore the potential and dangers of bringing advanced data analytics and artificial intelligence tools to the cybersecurity space.