Explore KSACs by Pathway
In late 2025, the Partnership pulled together members of industry from across tech to share how the in-demand skillsets for entry-level roles in their fields have changed in the last two years. The Knowledge, Skills & Abilities and Credentials (KSACs) below reflect their feedback on entry-level expectations, especially in a tech workplace increasingly shaped by AI.
The below KSAs are cross-cutting skills identified as in-demand across tech specializations. In addition to core technical skills like basic data literacy and fluency in the fundamentals of generative AI, professional skills like communication, problem solving, and project management have been added given the increasing importance of these skillsets as technology rapidly evolves.
6. Ethics, Data Responsibility & Security Awareness
| Label | KSAC Description | Bloom's Taxonomy Level | |
|---|---|---|---|
| a | Demonstrate ethical behavior and maintain confidentiality when handling data, systems, and information. | skill | 3 |
| b | Explain common ethical risks related to data, analytics, and AI, including bias, privacy, and misuse. | knowledge | 2 |
| c | Interpret and follow organizational policies related to data governance, privacy, security, and acceptable use. | knowledge | 3 |
| d | Identify situations involving sensitive data and apply appropriate handling, access, and sharing practices. | skill | 4 |