ML, NLP and LLMs powering your email security
e-securemail embeds state-of-the-art AI models — fine-tuned on our proprietary corpus, trained on real-world data, and continuously improved through a feedback loop supervised by our experts.
What our AI delivers in practice
State-of-the-art technology for measurable results on your mailbox.
Zero false positives thanks to Machine Learning
Our ML models analyse the behaviour of every email in real time — sender, content, context, metadata. The result: your legitimate messages always get through, and threats are blocked.
NLP to detect contextual threats
Natural language processing (NLP) understands the meaning of emails, not just keywords. Phishing, identity spoofing, wire-transfer fraud — nothing slips through the net.
LLMs fine-tuned on our proprietary corpus
Our large language models (LLMs) are fine-tuned on millions of real emails processed by e-securemail — a detection accuracy generic models cannot reach.
Continuous learning supervised by experts
Every user signal — reported spam, validated email — feeds a retraining pipeline supervised by our experts. Protection improves automatically, with no effort on your side.
Visibility into blocked threats
Thanks to our fine-grained classification models, every blocked email is precisely qualified: phishing, spam, BEC, malware. Your administrators get clear visibility into the nature of the attacks.
Behavioural detection of unknown attacks
Our unsupervised anomaly models detect new attack vectors with no prior signatures — zero-day protection based on behavioural analysis, not static rules.
Our AI stack
Every technology building block is chosen for its performance on real email data.
Classic models and neural networks, with automatic selection of the best performer.
Deep semantic analysis of email content, beyond simple keywords.
Large language models specialised on our proprietary email-threat corpus.
Neural networks for detecting complex patterns and sophisticated attacks.
Batch retraining pipeline, supervised by our cybersecurity experts.
Per-user architecture for classification tailored to each person's habits.
How it works
From receipt to delivery, every email passes through several layers of AI analysis.
Real-time multi-model analysis
On receipt, every email is run through several ML and NLP models in parallel. Content, structure, SMTP metadata, sender reputation — everything is analysed instantly before delivery.
Fine-grained LLM classification
Our fine-tuned LLMs precisely qualify each threat — phishing, BEC, malware, spam — and alert at-risk users before they act on a dangerous email.
Continuous retraining & improvement
User feedback and expert corrections feed an automatic retraining pipeline. Models are updated in batches and deployed to production via blue-green deployment.
An ML pipeline that keeps improving
User feedback (valid, spam, promotional, newsletter, malware) feeds directly into our retraining pipeline. Asynchronous validation and batch aggregation guarantee the quality of the training data.
Our subject-matter experts supervise every cycle and can inject corrections directly into the training loop.
Proprietary AI, trained for your industry
See how our fine-tuned ML models and LLMs protect your mailbox with a precision generic solutions cannot reach.
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