2023 is well underway and now more than ever it’s important to stay ahead of data trends and security concerns that are ever mounting. With the cost of catastrophic cyber attacks estimated to be ten times that of all other disasters combined, businesses need to take proactive measures to implement a security data pipeline to protect their data and comply with security and retention requirements.
In the blog titled “Streamline Endpoint Data with Cribl Pack for SentinelOne Cloud Funnel” we dove into the Cloud Funnel data, its relevance in the modern SOC, and how Cribl Stream transforms the data while addressing visibility gaps. We left the AWS-specific details to this blog for those not yet familiar with configuring AWS S3 buckets, SQS Queues, and Identity and Access Management (IAM).
Cribl empowers you to take control of your observability, telemetry, and security data. Wherever your data originates from, wherever your data needs to go, and whatever format your data needs to be in, Cribl gives you the freedom and flexibility to make choices instead of compromises. Addressing visibility gaps by ingesting more data sources as the threat surface continues to expand has been a challenge.
In today’s economic climate, IT and security budget owners are always looking for ways to increase efficiency while controlling costs. With tighter budgets and increasing workloads, organizations have to find ways of stretching their limited resources while making sure investments are paying off.
Enterprises are entering 2023 following an increase in large-scale cybersecurity attacks over the last several years — Colonial Pipeline, Solarwinds, and even Twitter have all been victims — but events like these are not just increasing in number and sophistication. The amount of money involved is enough to make your head spin.
You don’t often see real change, but when you do see it you know it. Artificial Intelligence/Machine Learning toolsets like ChatGPT are finally starting to offer broad capabilities that will benefit a mass audience. These tools are moving out of the domain of data scientists and math nerds and into mass markets with a little bit for everyone. The potential reach is awesome and a little scary.
