--- title: "AI Model Risk Intelligence: Context-Aware Risk Scores for Every Model You Deploy" url: https://daily.dev/posts/ai-model-risk-intelligence-context-aware-risk-scores-for-every-model-you-deploy-juwoe1sg7 source_url: https://snyk.io/blog/why-we-rebuilt-evo-ai-model-risk-scoring type: article source: "Snyk" published: 2026-08-04T12:02:32.374Z updated: 2026-08-04T12:02:56.700Z tags: ["security", "llm", "ai-security", "agentic-ai", "prompt-injection"] reading_time: 11 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # AI Model Risk Intelligence: Context-Aware Risk Scores for Every Model You Deploy **[Snyk](https://daily.dev/sources/snyk)** · 11 min read · 0 upvotes · 0 comments ## Summary Snyk's Evo platform introduces a context-aware AI model risk scoring system built on Likelihood × Impact, where Likelihood is derived from Attack Success Rate (ASR) measured against real adversarial attacks and Impact reflects deployment-specific consequences. Unlike static safety cards, scores are weighted by deployment archetype — coding agent, chatbot, personal assistant — because the same model carries fundamentally different risks depending on how it's used. The system covers both direct prompt attacks and indirect prompt injection targeting agentic systems. Findings are organized in a three-level taxonomy mapped to OWASP LLM Top 10, OWASP Agentic, MITRE ATLAS, and NIST, enabling teams to move from a headline score to specific attacker goals and connect findings directly to policy enforcement. Snyk telemetry from 3,044 organizations shows that for every known model, roughly 2.8 more AI components run unmanaged, making inventory a prerequisite to risk scoring. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Why AI Changes the Risk Model for Application Security](https://daily.dev/posts/why-ai-changes-the-risk-model-for-application-security-rxzpdmwfj) · Security Boulevard · 1 upvotes · 0 comments --- Tags: [#security](https://daily.dev/tags/security), [#llm](https://daily.dev/tags/llm), [#ai-security](https://daily.dev/tags/ai-security), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#prompt-injection](https://daily.dev/tags/prompt-injection) [View this post on daily.dev](https://daily.dev/posts/ai-model-risk-intelligence-context-aware-risk-scores-for-every-model-you-deploy-juwoe1sg7)