ServiceNow vs Zscaler

ServiceNow's generative-AI and semantic search layer, surfacing answers from knowledge articles, FAQs and platform data across portals, mobile apps and Virtual Agent.

Lets any AI agent (Claude, ChatGPT, Gemini or custom) execute governed ServiceNow actions headlessly through MCP and A2A protocols, applying ServiceNow's own workflow guardrails to third-party agent calls.

AI document-processing app that extracts information from PDFs and scanned documents and classifies multi-page documents by user-defined type, with human-in-the-loop feedback for variable documents.

An AI assistant that unifies Now Assist, Moveworks and AI Experience into one voice, chat and text interface for completing work across ServiceNow-connected systems.

Built-in machine-learning layer that classifies and routes incidents/cases, generates smart recommendations, detects major incidents and predicts resolution times across Now Platform workflows.

ServiceNow's tool for building and testing enterprise AI agents on the Now Platform.

Governance layer that inventories every AI agent, model and MCP server in an estate and monitors what they do.

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.

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.