SAN FRANCISCO - TelAve -- Pervaziv AI today announced Cortex 5.2 and the Cortex AI Model Ensemble, a coordinated family of six specialized AI models designed to support secure, private, and capable AI-assisted software development.

The release expands Pervaziv AI's model-independence strategy with two new Backend Models: Cortex Safety 1.4, designed for safety-aware decisioning across secure AI workflows, and Cortex Code 1.5, a broad coding agent for software-development tasks.

These models join four previously released capabilities:

• Cortex-LLM 1.0, the foundational model for structured software-security workflows
• Cortex Privacy 1.1, for on-device sensitive-data detection
• Cortex Prompt Guard 1.2, for on-device prompt-injection and instruction-risk classification
• Cortex Analysis 1.3, for backend security analysis and structured findings

Together, the six models form the Cortex AI Model Ensemble, a layered architecture that applies different AI capabilities where they are most effective.

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On-Device Models operate close to developers and sensitive context. Cortex Privacy can identify credentials, internal endpoints, customer references, configuration values, logs, and other privacy-relevant content before it enters a broader AI workflow. Cortex Prompt Guard evaluates untrusted content for prompt-injection and instruction-manipulation risk.

Backend Models provide deeper reasoning, security analysis, safety-aware orchestration, remediation support, and broad coding assistance. Cortex Safety helps recognize elevated-risk situations and apply appropriate safeguards. Cortex Code supports code generation, explanation, transformation, debugging, planning, and other development tasks.

"Enterprise AI cannot depend on one general-purpose model making every privacy, security, safety, and engineering decision," said Anoop Jaishankar, Founder and CEO of Pervaziv AI. "The future is an ensemble of specialized models working together across the device, the backend, and the development workflow. Cortex 5.2 brings that architecture to life by placing fast privacy and prompt-security controls near the developer, deeper reasoning where context matters, and safety-aware decisioning around the entire system."

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The ensemble can inspect privacy and prompt risk locally, determine whether content should proceed or be redacted, and route approved requests to the Backend Model best suited for analysis, secure reasoning, or coding assistance.

This layered approach can reduce unnecessary remote inference, limit sensitive-context exposure, improve response efficiency, and give enterprises a clearer path toward governed AI-assisted development.

Cortex 5.2 continues Pervaziv AI's broader vision for Cortex as an Enterprise AI Control Layer that brings together coding, security, privacy, governance, model orchestration, and secure agentic engineering.

Visit their website at https://pervaziv.com to learn more.