Security teams face a growing gap between evolving threats and outdated detection methods:
We understand the operational pressure security leaders face, especially in high assurance, air gapped, and mission critical environments where failure is not an option.
For over a decade, Glasswall has protected Five Eyes and classified government networks. Our CDR technology is mandated by the NSA’s “Raise the Bar” initiative and trusted in the world’s most secure environments.
Glasswall Foresight combines deep structural telemetry generated during Content Disarm and Reconstruction (CDR) with proprietary machine learning models to predict the likelihood a file is malicious.
The result is early probabilistic threat insight on unknown and zero day files, without modifying the original file, detonating it, or relying on internet lookups.
Deep structural telemetry is generated during CDR file inspection.
Proprietary machine learning models produce a probabilistic threat score, even for previously unseen threats.
Use high-confidence risk scoring to allow, block, quarantine, or escalate files in alignment with Zero Trust policies.
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Identifies unknown and zero-day threats beyond the reach of antivirus tools and sandboxing.
Extremely low false positive rates (0.015% for PDFs) provide high-assurance threat signals, reducing false alarms and investigation time.
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Assess malicious likelihood without altering original file structure, ideal for legal, compliance, and evidentiary workflows.
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Fully functional in the cloud, on premises, or air-gapped and DDIL environments via CLI, Docker, Python, or C++.
With Glasswall Foresight, security teams gain:
You don’t simply neutralize files; you uncover their malicious intent.
Eliminate malware before it reaches your network and ensure your files are always safe and secure with Glasswall’s Zero Trust and intelligent file protection.
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Glasswall Foresight is an AI-powered file threat detection capability that predicts whether a file is malicious by analysing structural telemetry generated during Content Disarm and Reconstruction (CDR). It detects unknown and zero-day file threats without relying on signatures, sandbox detonation, or internet lookups. Foresight provides a probabilistic threat score that helps security teams make confident, real-time decisions.
Foresight uses proprietary machine learning models trained on deep structural telemetry extracted during CDR inspection. Instead of looking for known malware signatures, it analyses how a file is constructed and identifies structural anomalies that indicate malicious intent. This allows it to detect previously unseen and zero-day threats without waiting for threat intelligence updates.
Sandboxing detonates files in a controlled environment to observe behaviour, which can introduce delays, infrastructure overhead, and evasion risks. Glasswall Foresight does not detonate files. Instead, it analyses structural file characteristics and generates a probabilistic threat score instantly, reducing latency and working in offline or air-gapped environments.
No. Glasswall Foresight is signatureless. Traditional antivirus tools depend on known malware signatures, which can miss new or modified threats. Foresight evaluates file structure and telemetry using machine learning models, allowing it to identify unknown and zero-day malware without prior signature knowledge.
Yes. Glasswall Foresight is designed for high-assurance, mission-critical, and classified environments. It does not require internet connectivity, cloud lookups, or external threat feeds to function, and can be deployed on-premises, in private cloud environments, and in air-gapped or DDIL networks.
Content Disarm and Reconstruction (CDR) inspects files and reconstructs them into safe, trusted formats. During this process, detailed structural telemetry is generated. Glasswall Foresight uses this telemetry as the foundation for its AI models, enabling predictive threat scoring without modifying the original file during analysis.
Glasswall Foresight enhances existing security controls by adding predictive file intelligence. It can complement antivirus, sandboxing, and endpoint protection platforms by providing earlier visibility into unknown file threats. In high-assurance environments, it can also serve as a primary file inspection and risk scoring mechanism.
Traditional antivirus tools detect known threats using signatures or behavioural analysis. Glasswall Halo does not rely on detection. It removes potentially malicious elements from files by rebuilding them safely, making it effective against unknown and zero-day attacks.
Glasswall Foresight is engineered to maintain extremely low false positive rates while delivering high-confidence threat scoring. In production environments, it has demonstrated a false positive rate as low as 0.015% for PDF files, reducing alert fatigue and accelerating security investigations.
Foresight generates a probabilistic maliciousness score for each file, allowing organisations to enforce granular Zero Trust policies. Based on the threat score, files can be automatically allowed, quarantined, blocked, or escalated for further review, enabling data-driven security decisions aligned with Zero Trust principles.
