Email threats are getting more targeted and sophisticated, with cybercriminals relying on tactics like social engineering and malware-less attacks in an attempt to evade detection. Protect your employees all the way down to the point of risk with Mimecast’s CyberGraph AI solution. Through the power of artificial intelligence, machine learning, and social graphing, it maps communications patterns, detects anomalies, and empowers employees to make smarter decisions.
Attackers are getting smarter, so you need email security that can keep pace. Mimecast applies the power of AI, machine learning, and social graphing to put more of the power back where it belongs - in your hands.
Get email security that learns, becoming smarter over time to detect sophisticated and continuously evolving threats.
Give employees the support they need to make better decisions and keep them engaged with email warning banners that are applied only when warranted.
Defend against data exposure through detection of potentially misaddressed emails, preventing simple mistakes from turning into security incidents.
Shield employees and keep attackers from gathering information that can be used to craft highly targeted social engineering attacks.
CyberGraph AI continually learns, getting smarter over time to catch increasingly sophisticated and targeted threats. By understanding relationships and connections between senders and recipients, including the strength or proximity of the relationships, it can detect anomalous behaviors, alert employees, and help prevent devastating attacks.
Color coded email warning banners highlight the nature of the threat and empower users to report suspicious activity, which reinforces the machine learning model with crowdsourced intelligence. Banners are updated automatically for all employees across all devices when risk levels change.
CyberGraph also removes embedded email trackers that can reveal information attackers use to create highly targeted attacks and alerts employees to potentially misaddressed emails to help prevent data loss.
Learn more about the key features Mimecast offers to empower employees, limit attacker intelligence gathering, defend against data loss, and strengthen email protection.
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Social graphing02.
Contextual Warning Banners
Applies dynamic, color-coded warning banners only to emails that warrant them, alerting employees at the point of risk
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Email tracker removal
Disarms trackers embedded in emails, preventing the disclosure of information, like physical location, IP address, etc., that can be used to craft cyber attacks.
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Misaddressed email protection
Uses AI to detect potentially misaddressed emails and alerts employees with warning banners to help prevent data loss.
CyberGraph learns behaviors to create an identity graph that stores information about relationships and connections between senders and recipients, including the strength and proximity of the relationships. It learns what is “normal” and detects anomalous behaviors that can be combined with other indicators of suspicion to determine risk and alert employees when needed.
Email is the top attack vector, so nothing but the strongest protection will do. Only Mimecast can deliver world-class email security efficacy with two deployment options designed to meet varying needs.
Our AI-powered detection capabilities block all email-based threats, giving your team time to focus on risk reduction, not managing technology, and allowing your employees to work protected.
Our email security added the same static warnings to all emails, and our users became numb to them. Mimecast’s banners convey engaging contextual information about the threat and are automatically updated as the artificial intelligence learns more about it.
IT Director
Chicago-based PE firm
Attackers constantly evolve their tactics to side-step traditional defenses, making it nearly impossible for IT security teams to fight off cyberattacks without the aid of artificial intelligence. By constantly ‘learning’ an organization’s environment and user behaviors to get smarter over time, AI tools create a baseline of normal, creating detections and alerts for anomalous behavior.
As AI matures and enterprises adopt it more broadly, threat actors are taking advantage: they can employ techniques like data poisoning to infect these systems and influence their output. And, because humans can introduce bias into AI models in a number of ways, cybercriminals can leverage flaws in a biased AI system. That’s why IT security teams must avoid relying solely on AI to detect threats.
Machine learning algorithms can help AI become more resilient. Using tactics such as training AI on unique data, analyzing patterns of errors in training data, and thinking like an adversary, organizations can use machine learning to make their AI models more resilient to attacks. Adding a new layer of defense – blocking hard-to-detect threats while alerting and detecting anomalous behavior – is critical.
