Abnormal Security vs Elastic

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.

An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.

GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.

Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.

Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.

A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.