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Mimecast Releases Its CyberGraph AI Email Security Tool

If a malicious email message is detected, CyberGraph will display a color-coded contextual warning banner to warn the user and encourage them to take the right action.

Published

5 years ago

July 30, 2021

Joanna Melki

mimecast releases its cybergraph ai email security tool

Since the outbreak of the COVID-19 pandemic forced many businesses around the Middle East to close their offices and abruptly transition to remote working, email phishing attacks have increased both in number and sophistication. This concerning new trend has put the topic of email security as a top priority for many businesses in the region.

According to Mimecast, a provider of cloud cybersecurity services for email, employees now click on three times as many malicious emails as they did before the term “social distancing” entered our collective lexicon.

Determined to better protect its customers against this growing threat, Mimecast has just launched a new artificial intelligence (AI)-enabled tool for email security, called CyberGraph. The tool promises to keep email phishing attacks at bay using machine learning algorithms capable of detecting anomalous behaviors that could be indicative of a malicious email.

“CyberGraph leverages our AI and machine learning technologies to help keep employees one step ahead with real-time warnings, directly at the point of risk,” explains Josh Douglas, threat intelligence lead at Mimecast. “Phishing and impersonation attacks are getting more sophisticated, personalized, and harder to stop. If not prevented, these attacks can have devastating results for an enterprise organization. Security controls need to be constantly updated and improved to outsmart threat actors,” he added.

Whenever CyberGraph determines an email message to be malicious, it displays a color-coded contextual warning banner to warn the user and encourage them to take the right action, such as mark the email as spam.

Also Read: Is Your Phone Hacked? How To Find Out & Protect Yourself

In addition to its ability to distinguish malicious email messages from legitimate ones, CyberGraph can also disarm trackers embedded in emails to keep unauthorized third parties from getting their hands on information that could be used to orchestrate highly targeted phishing attacks.

Like other cybersecurity solutions powered by machine learning algorithms, CyberGraph’s effectiveness will keep improving over time as more users adopt it to protect their inboxes.

Related Topics:Cybersecurity United Arab Emirates

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ESET Bets On Specialized Security AI At 0.5% The Training Cost

ESET says NeoCortex can estimate an attacker’s next move, with a kill switch and human oversight built in to keep it from going rogue.

Published

5 days ago

November 4, 2026

Dana Saadeh

eset bets on specialized security ai at 0.5% the training cost

A sign-in anomaly, a suspicious process launch and an unusual connection may look harmless alone. Together, they can describe an intrusion that is hard for security to teams to piece together.

To solve that problem, ESET announced ESET NeoCortex on November 4, 2026: a specialized foundational AI model for cybersecurity. It powers ESET LiveCortex, available within the ESET PROTECT Platform, which connects fragmented security signals and turns them into actionable incidents.

Filtering is the main selling point, with LiveCortex processing billions of raw telemetry events daily, and just 0.00111% of them contributing to incidents presented to customers. The aim is less alert fatigue and more analyst time spent on threats that matter.

NeoCortex is built on world-model architecture, learning how digital environments behave and how events relate. ESET says that lets it reconstruct missing incident context, recognize similar past cases and estimate an attacker’s likely next step – what the company calls “minus-one-day defense,” a chance to intervene before the next stage unfolds. ESET points to Black October, the week leading up to October 25, 2026, when critical security issues affecting PHP, Linux, GitLab and other key systems demanded rapid, prioritized responses, as the kind of moment where that context matters.

ESET’s internal research also suggests a specialized model like NeoCortex can be trained at up to 200 times lower cost than a large general reasoning model, while delivering more accurate, defense-focused results. The company credits optimized training, a focus on cybersecurity vocabulary, lower computing requirements and privately owned hardware.

Also Read: Dubai Says Its Deepfake Detector Needs Just 7 Seconds Of Video

“AI is accelerating both cyberattacks and cyberdefenses. With ESET NeoCortex, we are applying our AI investment to develop specialized foundational cybersecurity intelligence that remains under our control and strengthens, rather than replaces, human expertise,” said Juraj Malcho, Chief Technology Officer at ESET.

As part of the design, NeoCortex forms part of a layered architecture combining specialized models, deterministic controls, correlation logic, validation, auditability and expert human oversight. Safeguards include restricted sandboxes, read-only tools, continuous monitoring, defined usage and token limits, a kill switch and human oversight of critical response decisions. The model is also developed and self-hosted on ESET’s own infrastructure, which the company says reduces exposure to shifts among third-party AI providers, including commercial and geopolitical ones.