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.

Security automation refers to the process of automatic detection, inspecting, and remediation of cyber threats. This can be done with or without the aid of humans by using specific applications built for the purpose. This minimally human-assisted process is used for integrating security flows, applications, and organizational infrastructure. This Blog Includes show Why Is IT Security Automation Important?

Data search, ID 3010 in the Automation Capability Matrix, is crucial for organizations to swiftly locate and analyze pertinent information. This makes it an essential tool for cybersecurity, IT operations, and compliance teams. Data search involves querying, filtering, and retrieving data from various sources such as SIEM platforms, databases, and other data storage solutions. This process allows organizations to discover valuable insights, identify anomalies, and make data-driven decisions.

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.

In this season’s finale of the Future of Security Operations podcast, Thomas chats with Yinon Costica, Vice President of Product and co-founder at Wiz, the leading cloud infrastructure security platform that enables organizations to identify and remove the most pressing risks in the cloud. Yinon has more than 15 years of experience leading cybersecurity product development teams, with expertise in the cloud security market.

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.

Professionals working in Cyber Threat Intelligence (CTI) enjoy playing detective, researcher, analyzer, and communicator. With Tines, now there’s a better way to quickly get answers for some of the most common questions that can tip off more strategic (read: exciting, fulfilling, meaningful) threat intelligence research.

Threat hunting is the process of proactively searching for hidden threats in an organization’s environment – a critical modern cybersecurity activity. However, relying on manual threat hunting alone can be time-consuming and resource-intensive.