Skip to main content
Paid
Abnormal Security logo
Data & Analytics paid

Abnormal Security

Verified 14 hours ago
Compare Alternatives Claim this listing
About Abnormal Security 20s read
1 min read

AI-native email security platform that uses behavioural AI to detect and stop sophisticated phishing, business email compromise, and account takeover attacks. Abnormal builds a behavioural profile of every identity in an organisation's environment to detect anomalous communications that indicate social engineering or account compromise. The platform integrates with Microsoft 365 and Google Workspace via API without requiring MX record changes.

Best for: Enterprises facing sophisticated business email compromise and phishing attacks
Global availability
Screenshot
Key Features
  • Behavioural AI identity profiling
  • Business email compromise detection
  • Account takeover protection
  • Supply chain attack detection
  • AI-generated attack analysis reports
Pros & Cons
What we like
Extremely high detection rate for sophisticated BEC attacks
API-based deployment requires no MX record changes
Behavioural AI catches attacks that bypass traditional email gateways
What to consider
Focused exclusively on email security with no broader platform
Premium pricing relative to traditional secure email gateways
Questions and Answers

No questions yet. Be the first to ask!

Log in to ask a question.

User Reviews

No reviews yet. Be the first to review Abnormal Security!

Log in to leave a review.

You might also like
SentinelOne S
SentinelOne
paid
Qdrant Q
Qdrant
freemium
Akkio A
Akkio
freemium
User Reviews

No reviews yet. Be the first to leave a review!

Log in to leave a review.

Was this page helpful?

AI Glossary

The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.

A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.

AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.

The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.

A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.

A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.

AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.

The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.

When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.

The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.

The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.

A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.

Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.

The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.

An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.

AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.

A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.

A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.

A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.

Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Trending Now
Claude AI Learning Brain OpenAI Operator
Tool Info
Verified 14 hours ago
Pricing paid
Category Data & Analytics
Added Jun 02, 2026
Source Manual Entry
Visit Website Back to Tools See Alternatives
Share:
Pricing Notes

AI tool pricing changes frequently. The pricing shown was accurate at our last editorial review. We recommend checking the tool's website directly for current plans.

Last reviewed: Oct 26, 2026
Check Current Pricing
Related Tools
SentinelOne paid Qdrant freemium Akkio freemium ThoughtSpot paid
Compare

See how Abnormal Security stacks up against alternatives.

vs SentinelOne vs Qdrant vs Akkio
Pricing
Paid
Visit Tool
Best For

Enterprises facing sophisticated business email compromise and phishing attacks

Embed this tool

Add a link badge to your website or blog:

People Also Viewed

SentinelOne
SentinelOne
Paid
 Qdrant
Qdrant
Freemium
 Akkio
Akkio
Freemium
 ThoughtSpot
ThoughtSpot
Paid