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.

Gabrielle is a security engineer. She deploys tools to scan for threats and vulnerabilities, read logs, and manage the security risks for her company, but is all that data really helping? Sometimes, it seems like she works in a noise factory instead of a SOC. The cacophony of all the log and event data and vulnerability scans are pouring into the SIEM, and it’s Gabrielle’s job to listen to the symphony of data and find the out-of-tune notes.

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.

The Security Operations Center (SOC) is the central unit that manages the overall security posture of any organization. Knowing how your SOC is performing is crucial, so security teams can measure the strength of their operations. This article describes SOC metrics, including their importance, common SOC metrics, and the steps SOC teams can take to improve them.

The world is increasingly embracing cloud technology. The fact that cloud requires minimal infrastructure and operational costs is attracting enterprises to shift to cloud. Remote and hybrid work modes following the pandemic has added to the continued rise of cloud.

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 life, you get a lot of different alerts. Your bank may send emails or texts about normal account activities, like privacy notices, product updates, or account statements. It also sends alerts when someone fraudulently makes a purchase with your credit card. You can ignore most of the normal messages, but you need to pay attention to the fraud alerts. Security is the same way.

Security information and event management (SIEM) systems are crucial to cyber security, providing a solution for collecting and analyzing alerts from all manner of security tools, network infrastructure, and applications. But simply having a SIEM is not enough because to be truly effective, it must be properly configured, managed, and monitored 24x7.