Kroll Launches APEX for Cyber AI Investment Planning

Aug 31, 2026
Kroll introduced APEX, a capability built on the CrowdStrike Falcon platform to help organizations estimate cost, effort, and value for AI and automation cyber projects.
Kroll Launches APEX for Cyber AI Investment Planning

Kroll announced in a press release the launch of Kroll AI Automation Prioritization EXecution, or APEX, a capability built on the CrowdStrike Falcon platform. The tool is designed to help organizations compare AI, automation, and hybrid approaches for cyber use cases based on estimated operational effort, cost, and business value.

APEX uses Charlotte AI AgentWorks and Falcon Foundry to support a structured assessment before engineering work begins. The process reviews a client's cyber environment, priorities, financial inputs, and operational data, then ranks opportunities and estimates implementation effort and expected returns.

Results are shown in a dashboard inside Falcon. The capability can be used for a single strategic assessment or as part of an ongoing advisory engagement, with priorities updated as the organization changes.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief, Cybersecurity AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI Cybersecurity AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.