Latest cybersecurity reporting from selected sources.

Identity-based attacks are on the rise. Attackers are targeting identities with compromised credentials, hijacked authentication methods, and misused privileges. While many threat detection solutions focus on cloud, endpoint, and network threats, they overlook the unique risks posed by SaaS identity ecosystems. This blind spot is wreaking havoc on heavily SaaS-reliant organizations big and small

Google's cloud division is following in the footsteps of Microsoft with the launch of Security AI Workbench that leverages generative AI models to gain better visibility into the threat landscape.  Powering the cybersecurity suite is Sec-PaLM, a specialized large language model (LLM) that's "fine-tuned for security use cases." The idea is to take advantage of the latest advances in AI to augment

As the threat landscape evolves and multiplies with more advanced attacks than ever, defending against these modern cyber threats is a monumental challenge for almost any organization.  Threat detection is about an organization’s ability to accurately identify threats, be it to the network, an endpoint, another asset or an application – including cloud infrastructure and assets. At scale, threat

TL;DR:  Adopt a modern, test-driven methodology for securing your organization with Detection-as-Code