Microsoft vs Zscaler

Integrated development environment for building conversational bots, integrating with Microsoft Copilot Studio for low-code bot building.

AI assistant embedded in Word, Excel, PowerPoint, Outlook and Teams that grounds its answers in a customer's own business data and ships with pre-built agents.

Microsoft's assistant for chat, search and work inside Windows and the Microsoft 365 apps.

Security-operations assistant that summarises threat signals and helps analysts detect, investigate and respond to incidents in natural language.

Image-recognition service for building custom image classification and object-detection models; distinct from the general-purpose Azure AI Vision service.

Embeddable reading-comprehension tool that improves text readability for users of all ages and abilities.

Extracts insights from video and audio — transcription, face/object detection, sentiment, topics — via API.

Multimodal Azure AI service that extracts structured insights from unstructured content (documents, images, audio, video) into custom-defined schemas.

Extracts text, structure and key-value pairs from documents (invoices, receipts, forms, ID cards) via prebuilt and custom models.

NLP service for sentiment analysis, key phrase extraction, entity recognition, summarization, question answering and conversational language understanding.

End-to-end platform for building, training, deploying and managing machine-learning models at enterprise scale.

Hosted access to OpenAI's GPT, embedding and image models with Azure enterprise security, networking and compliance, under Microsoft Foundry's current branding.

Speech-to-text, text-to-speech, speech translation and speaker recognition as an Azure API service.

Real-time and batch text translation API supporting 100+ languages.

Image analysis, OCR, spatial analysis and face detection as an Azure API service.

Detects harmful text/image content (hate, violence, sexual, self-harm) for generative-AI applications, billed per text/image record analyzed.

Managed service for building, deploying and orchestrating enterprise AI agents with tool calling, state management and multi-turn conversations.

Context-engineering platform giving AI agents agentic retrieval across enterprise data sources (SharePoint, Blob Storage, the web) with permission-aware security.

Model catalog (11,000+ models from Azure, Anthropic, Meta, Mistral, Hugging Face and others) with managed-compute and serverless per-token deployment.

AI assistant for clinicians that combines ambient conversation capture, clinical documentation and voice-driven EHR/order workflows into one product.

Evaluation, production monitoring and distributed tracing for generative-AI applications, billed by consumption per the Foundry observability pricing page.

Coding assistant and agent inside the editor, the CLI and GitHub itself.

Azure's platform for building, evaluating and deploying model-based applications and agents.

Governance layer for employee use of generative AI that discovers shadow AI applications, applies allow, block or coach policies per user, and monitors prompts and responses against more than 100 data loss prevention dictionaries to stop sensitive data leaving through AI tools.

AI security posture management that auto-discovers and classifies AI models, agents and services across Azure AI Foundry, Amazon Bedrock, Google Vertex AI and unmanaged providers, correlates the sensitive data connected to them, and maps findings to frameworks including NIST AI RMF 600-1 and the EU AI Act.

Runs AI models over the security data flowing through the Zero Trust Exchange, using attack graphs, user risk scoring and threat intelligence to score the probability of a breach, forecast an attacker's next tactics, and recommend policy changes before the attack completes.

AI-driven detection and diagnosis of digital-experience issues across the network and application delivery path.

Real-time guardrails for LLM traffic that inspect prompts and responses inline to block prompt injection, jailbreaks, sensitive-data leakage and toxic or off-topic output, deployed either as a proxy or as an API-based Detection as a Service.

Inline, AI-powered sandbox that analyzes unknown files in real time to block zero-day and file-based malware before it reaches endpoints, using AI/ML models trained on 600M+ samples.

Automated adversarial testing for AI applications and agents that runs simulated attacks using 25+ predefined and custom probes across text, image, voice and document inputs, scoring results for security, safety, hallucination and business alignment against MITRE ATLAS, NIST AI RMF and the OWASP LLM Top 10.

Cloud-native security platform that inspects and enforces policy on every connection between users, devices, workloads and AI agents, rather than trusting anything on a corporate network.