Abnormal Security vs NiCE

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.

Detects and autonomously remediates compromised Microsoft 365/Google Workspace accounts by learning normal sign-in, device and behavioral patterns.

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.

An AI companion for customer service agents that provides real-time coaching and AI-assisted responses to drive agent productivity and engagement.

A generative-AI product for CX leaders that turns customer interaction data into automated insights and recommended business actions.

An AI copilot for contact centre supervisors that surfaces team analytics and performance monitoring so leaders can drive focus, productivity and engagement.

Analyzes customer conversations for sentiment, intent and root causes.

Provides governed knowledge for customers, agents and AI systems.

Evaluates customer interactions using generative AI for automated scoring, summaries and coaching recommendations.

Forecasts demand and schedules contact-center staffing using AI.

Conversational AI agents that initiate outbound customer conversations across the lifecycle, from onboarding and installation through service and retention.

AI agents that engage prospects and customers at the moment of intent across touchpoints to win new business and build loyalty.

Agentic AI agents native to CXone that resolve customer requests end to end through intelligent voice and digital chat conversations.

NiCE's contact-centre platform, sold as AI across the whole journey rather than a bolt-on: AI agents handling self-service and proactive outreach, Enlighten's domain-specific models, and separate copilots for agents and for supervisors.

NICE Actimize's platform combining fraud prevention and anti-money-laundering compliance in one AI-powered system, aimed at credit unions and community banks; its Xceed AI Fraud, Xceed AI AML and Xceed AI Investigations modules use AI agents to monitor transactions, reduce false positives, prepare SARs and triage investigations.