---
id: "prereq-deterministic-vs-nondeterministic"
type: "prerequisite"
source_timestamps: ["¶2", "§ 2. Conventional Tools Don't Translate"]
tags: ["software-engineering", "ai-fundamentals"]
related: ["concept-deterministic-security-mismatch"]
reason: "Fundamental to grasping why legacy cybersecurity tools leave dangerous blind spots when applied to AI."
source_title: "Research: Conventional Cybersecurity Won't Protect Your AI"
source_url: "https://hbr.org/2026/01/ts-research-conventional-cybersecurity-wont-protect-your-ai"
sources: ["tail2"]
sourceVaultSlug: "hbr-seg-tail2"
originDay: 2
articleStem: "hbr-tail-128-cybersecurity-wont-protect-ai"
sourceUrl: "https://hbr.org/2026/01/ts-research-conventional-cybersecurity-wont-protect-your-ai"
sourceTitle: "Research: Conventional Cybersecurity Won’t Protect Your AI"
---
# Deterministic vs. Non-Deterministic Systems

**Why you need this:** Fundamental to grasping why legacy cybersecurity tools leave dangerous blind spots when applied to AI.

The author contrasts **'deterministic software'** with AI systems that are 'anything but deterministic.' You must grasp that traditional software follows strict, predictable rules, while AI models generate **probabilistic outputs** based on continuous learning from complex, changing data. Without this, the entire [[concept-deterministic-security-mismatch]] — and the case for a security paradigm shift — does not follow.