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Next-gen Email Security
AI-based solutions to level the playing field against email threats
Overview
Email security refers to solutions that leverage emerging technologies such as AI and natural language processing (NLP) to secure inbound and outbound email traffic to protect users, data, and organizations from cyberattacks.
It also comprises encryption solutions that facilitate secure access and collaboration as well as data loss prevention solutions that protect against accidental data loss during email transmission. This industry also covers startups offering solutions for training and enhancing user awareness concerning email security and archiving solutions for secure long-term storage of emails.
*Note: Additional sections (such as market sizing and incumbents) can be provided on request.
Market Mapping
Incumbents
Expansion
Go-to-Market
Minimum Viable Product
Ideation
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Inbound Email Protection
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Email Encryption
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Email Data Loss Prevention (DLP)
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Security Awareness Training
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Outbound Email Protection
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Email Archiving
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Hornetsecurity
Hornetsecurity
Hornetsecurity
Hornetsecurity
Hornetsecurity
Hornetsecurity
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Funding History
Notable Investors
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Behavioral AI and NLP are key elements in the fight against email attacks
While traditional cybersecurity solutions are capable of detecting suspicious links and malicious email attachments, they often fall short of protecting against more complex threats such as business email compromise (BEC).
For a deep dive into BEC, a key driver for inbound email protection, refer to our Edge Insight.
Other inbound email solutions, such as secure email gateways (SEG), rely on signature-based approaches and lag behind new and emerging threats. Users can take steps to protect against these threats, with some actions being as simple as verifying authenticity through non-email channels. However, a complex attack can always slip through the cracks.
Behavioral analysis and risk scoring use AI and natural language processing (NLP) to analyze historical and real-time email content in order to learn user behavior across an organization. The AI uses this, along with other data points, to create a baseline for good behavior and assign a risk score to the individual, with a high score indicating a greater risk of potential email threats. Solutions using behavioral analysis and risk scoring can proactively identify emails that deviate from the established baseline in the context of the sender and the receiver. This allows the detection of sophisticated and previously unknown email attacks.
Factors considered by behavioral AI models
Source: Abnormal Security
Segments within the email security space
However, we exclude the following areas when selecting companies for this industry:
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