This is the second part of the “A Deep Dive into Penetration Testing of macOS Application” blog series. In the first part, we learned about macOS applications and their structure and demonstrated how to build a dummy application. We also talked about System Integrity Protection (SIP) and how to configure common network interception tools. Part two will dive deep into file and binary analysis.
The 2021 Log4Shell incident cast a bright light on open source software security — and especially on supply chain security. The 18 months following the incident brought a greater focus on open source software security than at any time in history. Organizations like the OpenSSF, AlphaOmega, and large technology companies are putting considerable resources towards tooling and education. But is open source software security actually improving? And where are efforts still falling short?
We recently shared that we’ll soon be rolling out a privacy-preserving telemetry system that will help us improve 1Password by leveraging aggregated, de-identified usage data. Here we’ll share technical details about how this system works and the steps we’ve taken to protect customer privacy while engaging with the resulting data.
For nearly a decade, Egnyte has been applying AI to help customers protect and manage large volumes of unstructured data. The outputs of these models were historically focused on a relatively narrow set of IT security, privacy, and compliance applications. Today, we’re announcing the next generation of AI-powered solutions at Egnyte, unleashing content intelligence for every user on our platform!