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Guided redaction in Tonic Textual: Human-precision, streamlined by AI

Guided Redaction blends AI automation with human judgment to help teams finalize sensitive document redactions faster, more accurately, and with full auditability.

The post Guided redaction in Tonic Textual: Human-precision, streamlined by AI appeared first on Security Boulevard.

Hyper-realistic synthetic data via agentic AI has arrived. Meet the Fabricate Data Agent.

Tonic.ai has launched the Fabricate Data Agent to enable you to effortlessly generate hyper-realistic synthetic data in a matter of minutes via agentic AI. Chat your way to the domain-specific data you need, whether that’s a relational database, JSON, unstructured files like PDFs, and more.

The post Hyper-realistic synthetic data via agentic AI has arrived. Meet the Fabricate Data Agent. appeared first on Security Boulevard.

Your data, your model: Self-serve custom entity types in Tonic Textual

Tonic Textual’s new Custom Entity Types let teams define, train, and deploy entity models on their own dataβ€”no data science skills needed.

The post Your data, your model: Self-serve custom entity types in Tonic Textual appeared first on Security Boulevard.

Tonic.ai product updates: October 2025

Announcing the Fabricate Data Agent, synthetic data generation via agentic AI. Plus, Structural's Custom Categorical is now AI-assisted, and Model-based Custom Entities are coming to Textual!

The post Tonic.ai product updates: October 2025 appeared first on Security Boulevard.

Preventing training data leakage in AI systems

Training data leakage can significantly undermine the validity of AI models. It can also pose a critical privacy risk. Read on to understand two divergent definitions of a key term in AI model training.

The post Preventing training data leakage in AI systems appeared first on Security Boulevard.

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