2022 feels a little different, doesn’t it? Every day I’m prepared to hear something new, something scary, or something exciting. These last couple of years have made it seem like we just never know what is coming next. It’s no different for financial services companies who have to be prepared for the unexpected, including disruptive technologies that can challenge their core businesses.
Many of us are fond of collecting things, but not everyone is excited about Collections #1-5. In 2019, these Collections, composed of ca. 932 GB of data containing billions of email addresses and their passwords, made their way around the Internet. These collections weren’t breaches but compilations of emails and passwords that had been gathered. Even after repeat entries were whittled down, the collection still contained billions of distinct address and password combinations.
Jira and Confluence house high volumes of customer information, tickets, notes, wiki articles, and more. To scan Jira and Confluence Data Center or Server editions, you can use Nightfall’s APIs to scan data at-rest in these silos. In this article, we’ll walk through how you can run a full historical scan on your Jira and Confluence data to discover sensitive data, like API keys and PII. The output will be a report detailing the sensitive findings discovered in your environment.
The idea of converging cyber intelligence, AML, and fraud prevention activities to eliminate the gaps between these silos of financial crime risk management has been discussed for years. However, recent developments in global real-time payments, open banking, and booming digital transactions have escalated the need for this convergence. In this era of instant payments and CNP transactions, traditional siloed approaches to financial crime prevention are loosing their effectiveness.
Protecting your clients' data should be at the top of the list of concerns for CEOs. Many business owners believe they are too small to be at risk of cyberattack. You take basic precautions to detect and protect but don’t believe you’re really a target.
Microsoft recently published two critical CVEs related to Active Directory (CVE-2021-42278 and CVE-2021-42287), which when combined by a malicious actor could lead to privilege escalation with a direct path to a compromised domain. In mid-December 2021, a public exploit that combined these two Microsoft Active Directory design flaws (referred also as “noPac”) was released.
Enterprises know they need defenses integrated into each aspect of their network while not being an inhibitor to innovation. Digital transformation realized through new 5G-enabled IoT, Operational Technologies (OT) and IT use cases are no exception. Therefore, security teams need to take a closer look at the best technology to support this innovation.
During a recent client engagement for a tabletop exercise (TTX), it became apparent that the client did not have a methodology for tracking indicators and building an incident timeline. The CrowdStrike Services team wanted to provide more information to our client on how incidents can and should be tracked, but nothing was available in the public domain.
