Today, we are announcing the general availability of our new module within our Global Intelligence Service with a benchmarking capability on AWS security by baselining the Amazon GuardDuty findings. If you are one of the 100,000 users of Sumo, go to your App catalog and install the Amazon GuardDuty benchmark app with one click and see your threats against the global threats that we gather from hundreds of Sumo customers.
With more business applications moving to the cloud, the ability to assess network behavior has changed from a primarily systems administration function to a daily security operations concern. And whilst sec-ops teams are already familiar with firewall and network device log tools, these can be of limited used in a “cloud first” business where much of the good traffic that occurs is hard to distinguish from potentially risky traffic.
The move to the cloud — in many ways — is a return to the early days of computing. When I took my first computer class in 1978, we used an IBM 360 system time share. We rented out time on a remote system — sent our jobs over a modem to a computer at a university — and got back the results of the program run. Today, we’re using the cloud, which is just a fancy version of the old time-share systems.
“Computers are bicycles for the mind,” said Steve Jobs once. Security Information and Event Management (SIEM) is biking uphill. Picture this: You cycle hard against the incline and ensure the bike holds up, all the while watching out for incoming traffic in blind turns. The worst part? The bike grinds to a halt when you stop pedaling. You simply can't coast on the steep hill of security operations.
There’s a lot of talk about the ability of AI and machine learning to augment digital transformation journeys by creating better customer experiences and empowering employees to make decisions using data. However, IT and business leaders can sometimes face analysis paralysis when confronted with this topic because it means something different for every business – and it means shifting an entire company culture towards a new way of working. One key shift is making use of machine data.
The 2017 Deep Root Analytics incident that exposed the sensitive data of 198 million Americans, or almost all registered voters at the time, should remind us of the risks associated with storing information in the cloud. Perhaps the most alarming part is that this leak of 1.1 terabytes of personal data was avoidable. It was simple negligence.
Internet security, in general, is a challenge that we have been dealing with for decades. It is a regular topic of discussion and concern, but a relatively new segment of internet security is getting the lion’s share of attention—internet of things (IoT). So why is internet of things security… a thing?
Stock sales and trading play a huge role in the U.S. and global economy. Stock exchanges provide the backbone to the economic infrastructure of our nation, as they help companies to expand when they’re ready by offering the general public a chance to invest in company stock. However, investing in the stock market can be a gamble.
As recently as 2017, security and compliance professionals at many of Tripwire’s large enterprise and government customers were talking about migration to the cloud as a possibility to be considered and cautiously explored in the coming years. Within a year, the tone had changed.
