Advanced Email Security Service
Stop Advanced Email Threats
Modern email threats exploit context, impersonation, and AI-generated manipulation. Traditional filtering can’t keep up. Open Systems’ Advanced Email Security augments standard defenses with context-aware detection, zero-hour threat blocking, and continuous model tuning. Designed for evolving risks like Business Email Compromise (BEC) and thread hijacking, it delivers proactive, adaptive protection – keeping threats out before they land, with fewer false positives.
Your Service Benefits
Adaptive Threat Defense
ML models analyze user behavior and communication context to detect novel phishing and fraud in real time.
Ongoing Tuning & Accuracy
Detection engines are continuously tuned using real-world feedback to reduce false positives and improve accuracy.
Advanced Threat Insights
Identifies deep-fake content, QR-based phishing (Quishing), and impersonation attempts missed by static filtering methods.
Included in the Service
Customer Portal
In-Depth Threat Visibility
Use Case: Analysts need insights into advanced threats bypassing traditional filters.
Benefit: The Customer Portal shows AI decisions and behavioral flags in real-time.
Open Systems Difference: Threat context and visuals aid in training and response.
Expert-level Support –
False Positive Resolution
Use Case: Executives receive quarantined legit messages or targeted phishing evades detection.
Benefit: Automated detection optimization through ML-model combined with manual detection and policy tuning.
Open Systems Difference: Active learning via real-world tuning improves future detection.
Designated Account Management
Proactive Executive Protection
Use Case: Executives face BEC and impersonation risk.
Benefit: Technical Account Managers implement layered protection and alerting for sensitive roles.
Open Systems Difference: Strategic consulting and advanced configuration focus on executive threat mitigation.
In-Depth Threat Visibility
Use Case: Analysts need insights into advanced threats bypassing traditional filters.
Benefit: The Customer Portal shows AI decisions and behavioral flags in real-time.
Open Systems Difference: Threat context and visuals aid in training and response.
False Positive Resolution
Use Case: Executives receive quarantined legit messages or targeted phishing evades detection.
Benefit: Automated detection optimization through ML-model combined with manual detection and policy tuning.
Open Systems Difference: Active learning via real-world tuning improves future detection.
Proactive Executive Protection
Use Case: Executives face BEC and impersonation risk.
Benefit: Technical Account Managers implement layered protection and alerting for sensitive roles.
Open Systems Difference: Strategic consulting and advanced configuration focus on executive threat mitigation.
Service Components
Context Evaluation
Analyzes behavior, language tone, and communication patterns to detect anomalies and deep-fake threats (e.g., AI-generated thread hijacking).
Threat Detection
Stops zero-hour phishing, BEC, and image-based malware (e.g., malicious QR codes) using LLMs and threat intelligence.
Detection Tuning
Continuously refines detection logic with support-led escalation analysis and live threat feedback loops.
How it works
- Block zero-hour phishing based on behavior and threat intel, even before a signature exists.
- Analyze QR codes and images for malicious links embedded in visual content.
- Detect AI-generated messages that mimic legitimate business conversations.
- Identify Business Email Compromise (BEC) by analyzing intent, role-based risk, and subtle sender impersonation patterns.
Context Evaluation
Advanced Email Security uses machine learning models trained on your organization’s unique communication behavior. It evaluates sender-recipient relationships, message history, timing, and content tone to detect anomalies. For example, it can flag a sudden wire transfer request from a colleague who never sends financial emails, or detect a thread hijack where a compromised account sends a message with a subtle shift in tone or urgency.
Threat Detection
Going beyond traditional filters, the system leverages advanced techniques to detect modern attack vectors. It can:
Each of these detection layers works in tandem to neutralize even highly targeted, evasive threats before they reach the inbox.
Detection Tuning
What sets this apart is the continuous tuning process. The ML-model for detection learns automatically from past events. Every false positive or missed threat is fed back into the system. Experts analyze edge cases, refine rule sets, and adapt model behavior for better future accuracy. This means your protection improves with time – without needing constant manual rule updates. The feedback loop is powered by real-world insights, ensuring the system stays effective in your unique environment.
Advanced Email Security uses machine learning models trained on your organization’s unique communication behavior. It evaluates sender-recipient relationships, message history, timing, and content tone to detect anomalies. For example, it can flag a sudden wire transfer request from a colleague who never sends financial emails, or detect a thread hijack where a compromised account sends a message with a subtle shift in tone or urgency.
Going beyond traditional filters, the system leverages advanced techniques to detect modern attack vectors. It can:
- Block zero-hour phishing based on behavior and threat intel, even before a signature exists.
- Analyze QR codes and images for malicious links embedded in visual content.
- Detect AI-generated messages that mimic legitimate business conversations.
- Identify Business Email Compromise (BEC) by analyzing intent, role-based risk, and subtle sender impersonation patterns.
Each of these detection layers works in tandem to neutralize even highly targeted, evasive threats before they reach the inbox.
What sets this apart is the continuous tuning process. The ML-model for detection learns automatically from past events. Every false positive or missed threat is fed back into the system. Experts analyze edge cases, refine rule sets, and adapt model behavior for better future accuracy. This means your protection improves with time – without needing constant manual rule updates. The feedback loop is powered by real-world insights, ensuring the system stays effective in your unique environment.
What Sets Our Solution Apart
AI-Driven Anomaly Detection
Best-in-class AI-charged email defense using behavioral and contextual AI to block phishing and impersonation attacks unseen by signature-based tools.
Continuous Model Improvement
Detection adapts with each case, ensuring evolving protection tuned to your environment.
Executive-Level Threat Control
Advanced safeguards for high-risk users like C-levels reduce breach risk where it matters most.
Leave Complexity
Behind
To learn how Open Systems SASE Experience can benefit your organization, talk to a specialist today.
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