Amazon Security Lake is a new service from Amazon Web Services (AWS) that is designed to help organizations improve their security posture by automating the collection, normalization, and consolidation of security-related log and event data from integrated AWS services and third-party services (Source Partners). By centralizing all the security data in a single location, organizations can gain greater visibility and identify potential threats more quickly.

As fraud continues to grow in prevalence, SecOps teams are increasingly investing in fraud prevention capabilities to protect themselves and their customers. One approach that’s proved reliable is the use of log analytics and telemetry data for fraud prevention. By collecting and analyzing data from various sources, including server logs, network traffic, and user behavior, enterprise SecOps teams can identify patterns and anomalies in real time that may indicate fraudulent activity.

Cyber threats are becoming more sophisticated, and enterprise security teams are under constant pressure to improve and enhance their threat detection and response capabilities. But as security teams expand their security logging tools and capabilities, the burden of monitoring those tools and investigating alerts grows exponentially.

The ephemeral nature of the cloud has made compliance and security a greater challenge for organizations. The volume of data that companies must collect and retain from their cloud services, depending on their industry, is ballooning fast. According to ESG, 71% of companies believe their observability data (logs, metrics and traces) is growing at a concerning rate. Even so, outcomes are getting worse, not better. Six out of 10 teams are unable to prevent issues before customers are impacted.

If you’re here, you know the basic DevSecOps practices like incorporating proper encryption techniques and embracing the principle of least privilege. You may be entering the realm of advanced DevSecOps maturity, where you function as a highly efficient, collaborative team, with developers embracing secure coding and automated security testing best practices.

The cybersecurity talent shortage is real. As of December 2021, a job-tracking database from the U.S. Commerce Department showed nearly 600,000 unfilled cybersecurity positions. And a 2021 study found that 57% of cybersecurity professionals worked at organizations that have been directly impacted by the cybersecurity talent shortage. Even so, many organizations want to “shift security left” or build security best practices earlier into the software development lifecycle (SDLC).

Today’s enterprise networks are heterogeneous, have multiple entry points, integrate with cloud-based applications, offer data center delivered services, include applications that run at the edge of the network, and generate massive amounts of transactional data. In effect, enterprise networks have become larger, more complex, and more difficult to secure and manage.

If Ben Franklin lived today, he would add cyber threats to his shortlist of life’s certainties. For decades, bad guys have inflicted malware, theft, espionage, and other forms of digital pain on citizens of the modern world. They seek money, celebrity, and political secrets, and often get them. In 2020, hackers halted trading on the New Zealand stock exchange with a distributed denial of service (DDoS) attack.