High-risk tools in TDZ C64 Knowledge
3 of the 83 tools in TDZ C64 Knowledge are classified as high risk. This page profiles those tools specifically, with recommended policy actions and the attack patterns that target them.
Every operation listed below is an action PolicyLayer recommends controlling at the transport layer. Open any tool to see the full profile, risk score, and YAML policy snippet.
Tools at high risk
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train_bertopicExecuteTrain BERTopic model using embeddings + UMAP + HDBSCAN. State-of-the-art transformer-based topic modeling that automatically discovers topics.
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train_lda_topicsExecuteTrain LDA topic model on all documents to discover latent topics. Uses Latent Dirichlet Allocation to find topics based on word co-occurrence patterns.
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train_nmf_topicsExecuteTrain NMF topic model on all documents. Non-negative Matrix Factorization often produces more coherent topics than LDA and is faster.
Attacks that target this class
High-risk tools in any server share these documented attack patterns. Each links to the full case and the defensive policy.