Overview
Secure Modern Digital Platforms in an Encrypted World
Hi-tech enterprises operate highly connected environments spanning cloud platforms, SaaS products, edge systems, APIs, IoT ecosystems, and global digital services. Most traffic across these environments is encrypted to protect users, intellectual property, and sensitive data. While essential, encryption can also limit the effectiveness of traditional security tools that rely on packet inspection to detect threats.
Incedo AI Threat Detection for Encrypted Traffic helps organizations close that gap with AI-native protection designed for encrypted environments. The platform identifies malicious activity in real time without decrypting traffic, enabling stronger cyber defense while preserving privacy, compliance, and performance.
Why Traditional Security Models Fall Short
Many legacy firewalls and intrusion tools depend on deep packet inspection. In encrypted environments, this often introduces decryption overhead, certificate complexity, latency, and added infrastructure cost. For digital-first businesses where performance and trust are critical, these trade-offs can impact both security and user experience.
Attackers increasingly use encrypted channels to hide malware, command-and-control traffic, and suspicious behavior—making behavior-based detection essential.
How the Platform Creates Value
The platform uses advanced AI and machine learning models trained on encrypted traffic behavior to analyze flow metadata, temporal signals, session patterns, and anomaly indicators. Instead of inspecting payload content, it detects threats based on how traffic behaves across systems and applications.
Deployed inline, the solution can instantly detect, alert, forward, or block traffic according to policy. High-performance packet processing enables line-rate protection with ultra-low latency across cloud, edge, and enterprise environments.
Built Using AWS Services
The solution is built on AWS and can leverage Amazon EC2 for high-performance compute, Amazon EKS for container orchestration, Amazon SageMaker for threat detection models, Amazon Bedrock for AI-assisted investigations, Amazon S3 for telemetry storage, Amazon Kinesis for streaming analytics, Amazon CloudWatch for monitoring, AWS Lambda for automated response workflows, and Amazon QuickSight for dashboards and reporting.
Business Benefits
Organizations gain visibility into encrypted threats, stronger platform and edge protection, privacy-preserving security controls, reduced false positives, real-time enforcement, scalable resilience, and better protection for modern digital ecosystems.
Business Impact
With AI-driven encrypted traffic security in place, enterprises can reduce cyber risk, protect customer trust, improve operational efficiency, secure innovation platforms, and modernize security operations without sacrificing speed or user experience.
Highlights
- Detects malicious activity hidden in encrypted traffic without decryption, preserving privacy and platform performance.
- Uses AI/ML models to analyze behavioral patterns, anomalies, and flow signals with high accuracy and fewer false positives.
- Provides real-time inline enforcement with ultra-low latency across cloud, edge, and enterprise environments.
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For product support, implementation assistance, and technical inquiries, customers can contact the Incedo support team:
**Website: **https://www.incedoinc.com
Email: Partnerships_Alliances@incedoinc.com
Incedo provides support across deployment, container setup, network integration, model tuning, policy management, dashboard configuration, and ongoing optimization.