Fortinet vs Uniphore

AI orchestration platform automating security and network operations: alert triage/investigation, network configuration validation, and threat hunting, integrated across Fortinet's management products.

Discovers, controls and governs AI use across enterprise environments: shadow-AI detection (6,500+ AI application URLs), AI-application visibility (FortiView for AI), and AI-workload data-loss prevention.

Cloud-native data-loss-prevention agent combining machine-learning content/context analysis with a GenAI-powered assistant that summarizes and contextualizes incidents for insider-risk and data-egress protection.

Email security gateway combining machine learning, LLM-based content analysis and image recognition to detect phishing, BEC and other threats across the email lifecycle.

Uses AI-based behavioural analysis of network traffic to detect lateral movement, data exfiltration and privilege escalation without endpoint agents, sold as on-premises appliances and VMs or as FortiNDR Cloud.

Sandbox appliance/service for zero-day and advanced-threat detection, using AI-powered analysis (a purpose-built ML engine plus artificial neural networks) alongside static and dynamic analysis to accelerate verdicts.

Applies AI/ML analysis to telemetry from Fortinet network devices to detect pattern anomalies and automate network troubleshooting.

A cloud-native enterprise communication recording application that captures voice and screen data, marketed as the capture layer that makes conversation data available to AI. It records uncompressed stereo audio with multi-channel support, includes transcription, and provides customizable policy engines for recording, retention, storage and export alongside MiFID II, Dodd-Frank, PCI DSS and GDPR compliance controls.

A generative-AI conversational intelligence application that analyses 100% of customer conversations to surface trends, sentiment and actionable insights. It automates QA scoring across all calls rather than manual sampling, and surfaces emerging call drivers beyond predefined categories.

An AI agent-assist application that gives contact centre agents in-call support: pre-call intelligence pulled from CRM and past interactions, knowledge assist that delivers contextual answers without manual search, generative conversation summaries with disposition capture, and sentiment detection. A manager dashboard provides live transcription and real-time performance alerts.

An AI recruiting application that summarises resumes and job descriptions, suggests interview questions, and provides real-time co-pilot guidance to interviewers based on candidate background and role requirements. Generative AI automates the creation of interview questions, summaries and notes.

An enterprise sales AI application that analyses the visual, verbal and tonal cues of every sales interaction to surface deal insights and automate administrative work. It provides real-time meeting assistance using emotion AI and generative AI, buyer sentiment and engagement analysis, sales methodology adherence tracking, a searchable sales knowledge base, and AI coaching.

A conversational automation application providing virtual agents across voice and digital channels. It includes emotion AI for sentiment detection and empathetic response, multilingual support with automatic language detection, a no-code conversation designer for business users, and generative-AI training that auto-generates intent phrases.

Builds and orchestrates enterprise AI agents with visual workflows, an orchestration engine and third-party agent integration.

A four-layer enterprise AI platform — data, knowledge, model and agentic layers — meant to unify what a large company already has rather than replace it.

Connects and governs enterprise data for AI without copying it.

Prepares enterprise knowledge for retrieval and model tuning.

Predicts customer behavior and automates marketing execution.

Manages model inference, fine-tuning and orchestration.