Security News > 2021 > February > Why contextual machine learning is the fix that zero-trust email security needs

Our recent research found that 93% of organizations have experienced an email data breach in the last 12 months, at an average rate of one incident every 12 working hours.

With organizations continuing to operate in a fully remote or hybrid model due to the COVID-19 pandemic, employees remain highly reliant on email as a way to share sensitive data.

In some cases, security training can even increase the risk of a breach, as some employees become overly confident in their security knowledge and become reckless when faced with an actual security threat.

When it comes to securing your outbound email, zero trust means authenticating both senders' and recipients' identities, determining them be known and trusted, and ensuring their behavior is in line with your security policy to prevent unauthorized disclosure of data.

Intelligent email data loss prevention delivered through contextual machine learning is able to deeply understand an individual user's behavior and relationships, and proactively determine whether they are acting consistently with security policies.

With contextual machine learning, they can empower employees to work productively in the moment without compromising security.

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