Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Readers Note : This is a summarized post of a detailed write up by the Elastic Security Intelligence and Analytics team. A deep dive on UAC Bypass is available to read here.

In our increasingly cloud-centric world, security teams are under pressure to perform effective cloud security monitoring to defend against fast-moving threats. That’s why Devo is pleased to announce the availability of approximately 50 cloud security detections for Amazon Web Services (AWS) to our Security Operations application. The new detections enable organizations to monitor their cloud infrastructure, look for areas of risk, or respond to threats as they emerge.

In virtually every industry, as well as in life in general, there is information presented as fact that very often is not based on actual truth or science. Some myths need to be dispelled not just because they are erroneous, but because, in the case of cybersecurity, can pose serious threats to the security of an organization, its people and its data.

At Devo, we take pride in providing our customers with innovations that enable them to derive tremendous value from our Platform and applications as they work to keep their organizations secure. That ongoing commitment is embodied in our newest offering — Devo Exchange.

The ever-evolving cyber threat landscape gives birth to new, unprecedented cyberattacks that challenge traditional cybersecurity approaches and force security operations centers (SOCs) to evolve and redefine their methods. To ensure that the integrity of their data is well-protected, SOCs have to be one step ahead of malicious actors. Ergo, the necessity of creating the modern SOC comes into play.

According to Cybersecurity Ventures, cybercrime will cost the world $10.5 trillion annually by 2025. However, it is alarming how many companies are unaware of the aftermath of being attacked. A successful attack can cause irreversible damage to companies’ finances. This is because attacks include money theft, damage, and destruction of data, interruption in services, decreased productivity, theft of intellectual property, theft of personal and financial data, reputational harm, and others.

Machine data analytics is the process of parsing data generated by software from a wide variety of sources including servers, networks, applications and financial records. These, and many other similar sources, produce massive amounts of data including from local operating systems, identity/access management tools, cloud consoles and their associated log files, alerts, scripts and profiles.

Organizations cannot wonder if a data breach will happen — they must prepare for when that day comes. Early detection is key to mitigating an attack when it inevitably occurs, but how can CISOs ensure their teams can sift through all the noise they encounter in the SOC to spot malicious activity? Security information and event management (SIEM) technology can play a critical role in empowering your security team to detect potential indicators of compromise faster.