General

AI coding assistants are rapidly becoming more capable, but enterprise adoption depends on more than code generation quality. Development teams need AI systems that can understand complex requests, stay aligned across longer tasks, work safely within project boundaries, recover from failures, and provide results that can be reviewed with confidence. Pervaziv AI has completed a

Bringing clearer validation to AI-assisted software delivery. AI-assisted development is changing how organizations build software. Teams can move from an idea to a proposed implementation faster than ever, with AI helping to explain code, generate changes, investigate issues, recommend improvements, and create tests.

AI-assisted software development is becoming a normal part of how organizations build, maintain, secure, and deliver software. But adoption alone is not the goal. The real opportunity is to help teams move faster without losing the engineering standards, quality practices, and organizational context that make software dependable. That is why Cortex has recently introduced two

July marked another major step forward for Cortex and the broader Pervaziv AI platform. After June expanded Cortex across browsers, IDEs, mobile devices, cloud environments, and enterprise work surfaces, July moved deeper into the intelligence and architecture behind those experiences.

We are expanding Cortex Enterprise AI with Salesforce CRM, the 10th MCP connection and 46th AI Agent in Cortex’s growing enterprise ecosystem.

Cortex already connects software teams to the systems where engineering and operational context lives: GitHub, Atlassian, Slack, Azure DevOps, Microsoft 365, Google Workspace, Google Cloud, AWS, and Azure. Salesforce adds the customer and revenue dimension to this connected enterprise workspace.

Pervaziv AI is continuing the Cortex story through four new short-form videos focused on a central shift in enterprise AI: moving beyond a single assistant, model, device, or work surface toward a more secure, specialized, and controlled AI architecture for software development. The four videos highlight Cortex across every major browser, the introduction of Cortex-LLM

Specialized On-Device and Backend Models for Secure, Private AI-Assisted Development. Cortex 5.2 introduces the Cortex AI Model Ensemble: a coordinated family of specialized AI models designed to support secure software development across both on-device and backend environments.

Building Private, Low-Latency AI Controls for Developer Workflows. AI-assisted software development is becoming part of everyday engineering work. Developers use AI to review code, explain issues, summarize context, generate fixes, and move faster across increasingly complex software systems.

Building Specialized AI Capabilities for Secure Software Development. We have been expanding our security-focused AI capabilities to support a more complete secure development lifecycle.

June marked a major step forward for Cortex and the broader Pervaziv AI platform. After a strong May focused on performance, security review, threat modeling, governance, and dependable agentic engineering, June moved the story into a new phase: Enterprise AI Mobility.