Abnormal Security vs Fortinet

Discovers shadow AI tool/agent/chat usage via email, OAuth, identity and browser signals and enforces policy automatically.

Answers security teams' questions about threats, attack patterns and risk across email and SaaS on demand, without writing queries.

Phishing simulation and training that generates its exercises from the real attacks aimed at that organisation rather than from static templates.

Automates phishing triage: answers every employee report in seconds and remediates campaign-wide threats without an analyst in the loop.

Combines a custom outbound DLP policy engine with an AI triage agent that evaluates matches in context, releasing benign messages and quarantining likely violations.

Behavioral AI that automatically moves low-priority promotional email (graymail) out of the inbox without manual rules.

Behavioral AI that catches hijacked sessions, abused OAuth grants and privilege misuse across email, IdP and SaaS.

Behavioral-AI email threat detection that builds per-employee/vendor baselines to catch BEC, phishing and payload-free social engineering before delivery.

Analyzes identity signals pre-provisioning (HR systems, IdP, email) to detect synthetic personas and coordinated nation-state infiltration campaigns.

Inspects Microsoft Teams and Slack for malicious URLs and weaponized attachments, auto-remediating high-risk messages.

Uses behavioral AI to detect outbound email sent to unintended recipients and quarantines it before delivery.

Checks a Microsoft 365 environment against CIS Benchmarks, detects configuration drift in real time and provides prioritized remediation.

Behavioural AI platform, powered by Abnormal's own Attune model, that baselines normal behaviour for every employee and vendor to detect phishing, business email compromise and account takeover that signature-based filters miss.

Abnormal's behavioural AI foundation model: builds a baseline for every identity from billions of signals so the products above it can flag anomalies in real time.

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.