AI Security covers use cases that every cybersecurity vendor plays a role in protecting; it’s rare to have vendors from identity, to network, to cloud, to application security all offering a set of competitive capabilities. For this report, we interviewed numerous vendors, practitioners, and leaders to bring order to a confused market, driving use case based adoption and understanding, especially where existing tools provide coverage versus new startups.
This report is for teams looking to build their AI Security program in a way that makes the most sense for their environment, and navigate the most hyped market in cybersecurity.
In this report, we cover all of the major use cases and evolution of endpoint security, such as:
MCP and Skill security, from posture to runtime
Intent driven runtime security and AI guardrails
DLP, MDM, and the rapid evolution of endpoint blindspots
How to understand where your existing tools fit the AI security picture
We’ll be sharing various snippets of the report and what they mean for the market from Latio’s page, so follow along for updates. Thank you so much for your continued support of Latio and our hands-on research!