How to Use Context to Make Better Security Decisions, Whatever the Tools

Watch this Webinar

Get instant access to watch this webinar with a free Infosecurity Magazine account. Earn CPE credits on qualifying content and explore our full range of webinars, whitepapers, and feature articles, all in one place!

Speakers

Photo of James Coker

James Coker

Deputy Editor, Infosecurity Magazine

Photo of Sam Weeks

Sam Weeks

SVP, Client Solutions, Prevalent AI

Brought to you by

This webinar is brought to you by Prevalent AI. By participating in/attending this webinar, you agree that your details will be shared with Prevalent AI who may contact you in relation to similar products and services which may be of interest. You can read more in Prevalent AI’s Privacy Policy, including how to unsubscribe.

Security tools, data platforms, AI models and reporting processes all change frequently. In this environment, security teams need a constant source of trusted enterprise context they can depend upon.

Whether investigating an alert, assessing security control coverage, reporting risk to the board or prioritizing exposures, every decision is only as reliable as the context behind it. This session explores the need for a vendor-neutral context layer supporting the security stack, giving security analysts, GRC teams, automation and AI the same consistent, up-to-date view of the cyber estate.

The webinar will look at the architecture decisions and trade-offs, including cost, consistency, traceability and data sovereignty, and what it means to change tools or models without starting again. The panel will then discuss where this approach works, the challenges in implementing it effectively and the questions security leaders should ask before committing to it.

Join this webinar to learn:

  • How to tell whether the context you rely on is trusted, repeatable and traceable, or depends on each tool, team or model getting it right every time
  • How trusted enterprise context improves security decisions, from investigating alerts to assessing control coverage and reporting risk
  • How to keep the freedom to change tools or models without rebuilding context from scratch