As global network infrastructure expands to include devices without traditional compute power, every organization’s attack surface becomes increasingly complex. Parallel to the increased complexity in the threat landscape is the increased scale and complexity of the signals and data necessary to produce meaningful cybersecurity insights. At its core, cybersecurity is a big data problem, requiring centralization of disparate data sources in uniform structure to enable continuous analytics.
As threats have continued to evolve, enterprises have made significant investments in security infrastructure and security operations is maturing. C-Suites and Boards are increasingly involved in security decision making and studies show that they are doubling down on security investments, which are expected to grow from $262.4 billion in 2021 to $458.9 billion in 2025.
Continuing our ongoing series of expert predictions, the following come from Netskope Threat Labs, including what we see on the horizon for software supply chain, phishing, and ransomware.
It is always interesting to learn about real-world examples of technologies at work. So, when ThreatQuotient invited me to share how we at Sysdig are using the ThreatQ Platform to enhance our cloud detection and response solutions, I was happy to participate.
One of the primary challenges that our security analysts encounter is where and how to best use their time. Monitoring and reviewing the constant influx of data and alerts produced by our client’s networks whilst also finding the time to keep on top of trending and emerging threats is no mean feat, and not particularly conducive to a healthy work-life balance…