Powerful AI Cybersecurity
Mimecast CyberGraph utilizes artificial intelligence (AI) to protect from the most evasive and hard-to-detect email threats, limiting attacker reconnaissance and mitigating human error.
Mimecast CyberGraph utilizes artificial intelligence (AI) to protect from the most evasive and hard-to-detect email threats, limiting attacker reconnaissance and mitigating human error.
Learn more about the key features Mimecast offers to limit intelligence gathering, empower users, and strengthen email protection.
Disarms trackers embedded in emails, halting the inadvertent disclosure of information that could be used by a bad actor to craft a social engineering attack.
Detects anomalous behaviors that could be indicative of a malicious email.
Embedded in suspicious emails utilizing crowdsourced intelligence and color coding to engage and empower users at the point of risk.
Uses AI to identify and prevent accidental data loss caused by employees sending emails to the incorrect recipient with intelligent warnings that stops mistakes from becoming security incidents
Unlike rules-based policies, CyberGraph AI continually learns, so requires almost no configuration. This lessens the burden on IT teams and reduces the likelihood of misconfiguration that could lead to security incidents.
By understanding relationships and connections between senders and recipients, including the strength or proximity of the relationships, CyberGraph can detect and alert users to anomalous behaviors.
Color coded warnings highlighting the nature of the threat empower users to report their views, which reinforces the machine learning model and provides crowdsourced intelligence that benefits all customers.
For outbound communications, Cybergraph's misaddressed email protection feature uses AI learning to prevent data loss with contextual human error correction before sending.
Artificial intelligence learns behaviors to create an identity graph. This stores information about relationships and connections between all senders and recipients, including the strength or proximity of the relationships. It learns what is “normal” and detects anomalous behaviors that can be combined with other indicators of suspicion to determine the risk associated with an email.
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.
Phishing, spam, business email compromise, malicious URLs, ransomware - these attacks continue to plague businesses. Explore Mimecast's features that protect against these ubiquitous threats.
Block all email-based threats with best-in-class Email Security.
LEARN MORESecure any type of email environment, even the most complex email environments and get highly customizable controls with this Secure Email Gateway in the cloud.
LEARN MOREPrevent attacks from spreading internally and to your supply chain by applying best-practice inspections to internal and outbound email.
LEARN MORE