Mobile devices at the workplace: this so-called trend is here to stay. In response, IT teams are recognizing their responsibility to develop a secure and high-performance operating environment for their mobile and remote workforce. Mobile-related security risks have increased to astronomical levels in the last year: All that to say: a true organizational security posture cannot ignore the mobile apps and devices that its employees and customers use.

Imagine a world where every cyber threat gets a swift and skilled response. This is the vision of the National Cyber Workforce and Education Strategy (NCWES), a program aimed at creating a future-proof cybersecurity workforce. Why is future-proofing our cybersecurity workforce so important? Because the cyber challenges of today and tomorrow require a diverse, well-educated, and agile workforce.

Scientific progress in AI and downstream innovation to solve concrete real-world problems is part of a greater movement toward inventing Artificial General Intelligence (AGI). Broadly speaking, AGI is defined as an intelligent agent that can emulate and surpass human intelligence. Today, we are already familiar with incomplete forms of AGI: Despite these promising innovations moving from the scientific domain to consumer marketplaces, we are still far from achieving AGI.

Splunk Enterprise and Splunk Cloud Platform, along with the premium products that are built upon them, are open platforms, which allow third party products to query data within Splunk for further use case development. In this blog, we will cover using Amazon SageMaker as the ISV product using the data within Splunk to further develop a fraud detection use case to predict future risk scores.

Data breaches are on the rise. Every day, we see news articles like these: "Major Data Breach Hits ABC Corporation: Millions of User Records Compromised"."GHI Retail's Customer Data Exposed: A Wake-Up Call for E-commerce Security"."LMN Health's Patient Information Compromised: Largest Data Breach in Healthcare History".

In the cyber realm, where digital defense and offense is an ongoing game of cat and mouse, one of the most potent weapons in an attacker's arsenal is the web shell. A seemingly innocuous piece of code that, once embedded in a server, allows an attacker to maintain their access and control. The hidden danger of web shells is their stealthiness and versatility, making them a challenging threat to uncover and neutralize.

“Secure the endpoints!” This battle cry can sound like a meme, sure, but it also highlights arguably the most important part of modern cybersecurity today: are we securing the endpoints? A compromised network is likely to leave traces of anomalous and unauthorized activities that originate from network endpoints.

As businesses transform digitally, cyber threats are evolving faster. The takeaway isn’t that threats are more sophisticated: it’s that traditional, reactive vulnerability management solutions are rarely effective. Continuous threat exposure management is a process that can effectively address this problem.

Microsoft 365 (formerly Office 365) is Microsoft's cloud-based suite of productivity tools, which includes email, collaboration platforms, and office applications. All are integrated with Entra ID (referred to as Azure AD in this post) for identity and access management. M365’s centralized storage of organizational data, combined with its ubiquity and widespread adoption, make it a common target of threat actors.

Google Dorking, also known as Google Hacking, is a technique using sophisticated search queries to uncover information on the internet not easily accessible through typical search queries. It leverages the capabilities of Google’s search algorithms to locate specific text strings within search results.