No matter the industry, geography, or organizational size, cybersecurity teams are united by their many shared challenges: talent shortages, expanding attack surfaces driven by digitization and remote work, increasing velocity of software development, and the rapidly growing scope and sophistication of global cybercrime. In response, these teams have embraced and incorporated a range of specialized tools within their defensive arsenal in attempt to address and resolve these issues.

As businesses continue to evolve, automation has become an essential aspect of modern operations. The benefits of automation are numerous, ranging from reducing operational costs to increasing security, efficiency, and accuracy. However, with so many automation solutions available on the market, it can be challenging to select the right one for your business.

Generative AI and large language models (LLMs) have the potential to be used as tools for cybersecurity attacks, but they are not necessarily a new cybersecurity threat in themselves. Let’s have a look at the hype vs. the reality. The use of generative AI and LLMs in cybersecurity attacks is not new. Malicious actors have long used technology to create convincing scams and attacks.

For years, efficient Case Management has been one of the single most challenging tasks for security operations professionals. It involves ensuring all threats are proactively identified and prioritized based on risk criticality, and then rapidly investigated and appropriately elevated across all organizational cybersecurity platforms and tools. Optimally, it sets up a near-bulletproof incident response posture that makes the most of an organization’s cybersecurity ecosystem.

When you say, “SOAR is Dead,” you’ll get some attention, and that’s exactly what happened at RSAC 2023. But it wasn’t just a statement that created the buzz.