Ensure all emails sent to your domain use encrypted communication.

Prevent delivery to unauthorised mail servers

Improve your domain’s trust and credibility

Automate Content Processing: By training the system to understand your documents, it can automatically tag and categorise content, making retrieval faster and more accurate

Extract Valuable Information: Syntex can pull key data from documents, such as contract values or expiration dates, and convert them into metadata. This metadata enhances searchability and integrates seamlessly with Microsoft Search and Power Automate

Enhance Compliance and Security: With integration into Microsoft Information Protection, organisations can dynamically apply information protection and compliance policies, ensuring sensitive data is handled appropriately

Blocking malicious emails before they reach inboxes

Detecting and neutralising phishing and ransomware threats

Encrypting sensitive data for secure communication

Preventing accidental data leaks and compliance violations

Advanced Spam Filtering Spam emails clutter inboxes, waste employee time, and often contain malicious links. A high-quality spam filter should:

• Use AI-driven algorithms to distinguish spam from legitimate messages
• Adapt to new spam techniques using machine learning
• Block emails based on sender reputation, content analysis, and embedded links

Real-World Example: A financial firm reduced phishing risks and saved hundreds of hours annually after deploying a spam filter that blocked 95% of junk emails.

Anti-Phishing Protection

• Phishing remains the most common email attack method. An effective solution should:
  Scan emails in real-time for fraudulent links and malicious attachments
  Use AI-powered analysis to detect impersonation attempts (e.g., CEO fraud)
• Flag or quarantine suspicious emails before users open them

Case Study: A healthcare organisation prevented a high-value payment fraud when their anti-phishing tool flagged an email attempting to impersonate a trusted vendor.

Email Encryption for Data Protection

Encryption ensures that sensitive information is protected in transit and at rest. Look for:

• Automatic encryption for emails containing financial or personal data
• End-to-end encryption to prevent unauthorized access
• Compliance-friendly encryption (e.g., HIPAA for healthcare, PCI DSS for finance)

Example: A law firm’s encrypted email system ensured client confidentiality while simplifying compliance with regulatory requirements.

Advanced Threat Detection

Cyber threats evolve rapidly, and signature-based detection is no longer enough. Modern email security should include:

• Behaviour-based detection to identify unusual patterns in email activity
• Sandboxing technology to isolate and analyse suspicious attachments
• Threat intelligence integration to stay updated on emerging cyber threats

AI and Machine Learning Capabilities

AI-driven email security improves threat detection, accuracy, and adaptability by:

• Analysing large volumes of email data to identify emerging threats
• Reducing false positives to improve workflow efficiency
• Predicting potential attack vectors before they cause harm

Real-World Impact: A global retail chain reduced phishing incidents by 87% within six months by implementing an AI-powered email security system

Data Loss Prevention (DLP)

Accidental data leaks can be as damaging as cyberattacks. DLP features should:

• Identify and block outgoing emails containing sensitive information
• Enforce policies that prevent employees from sharing confidential files externally
• Provide audit trails for compliance and incident response

User Training and Awareness Tools

Even with the best technology, human error remains a major security risk. Look for solutions that include:

• Simulated phishing attacks to test employee awareness
• In-email security prompts to alert users before clicking suspicious links
• Dashboards to track employee progress on cybersecurity training

Real-Time Threat Analysis
AI and ML process millions of emails daily to identify patterns linked to phishing, malware, and fraudulent emails.

Enhanced Accuracy
Unlike traditional rule-based systems, AI minimises false positives while improving threat detection.

Proactive Defence
AI predicts new attack methods and automatically updates defences, preventing emerging threats before they spread.