FortiSandbox 5.0 with Advanced Artificial Intelligence

The cybersecurity landscape has evolved dramatically. The attack surface is bigger, and attacks powered by artificial intelligence (AI) are increasingly sophisticated, with more multivector and multicast threats. Traditional security solutions often can't keep up with changes, leading to heightened risk. The new version of FortiSandbox, version 5.0, is powered by an advanced AI engine that helps organizations meet today's complex cybersecurity challenges.

Advanced AI and Purpose-Built Machine Learning

FortiSandbox 5.0 uses static and dynamic analysis and advanced AI with purpose-built machine learning (ML) algorithms based on unsupervised learning and artificial neural networks to accelerate threat analysis and improve detection. Contextual analysis reduces the attack windows and gives FortiSandbox 5.0 the ability to adapt to evolving threats. The new version includes:

• Static scanning: FortiSandbox leverages static analysis as a key component of its advanced threat detection capabilities. It can identify potential malware types before they can be executed using advanced statistics and pattern recognition to analyze handcrafted features.
• Unsupervised learning: Built-in AI identifies patterns and anomalies in data without requiring explicit labeling, so FortiSandbox can detect unknown threats that traditional signature-based approaches might miss. Because AI can recognize unique fingerprints based on malicious behaviors, it can detect state-of-the-art zero-day malware attacks.
• Artificial neural networks (ANNs): Deep neural networks analyze complex data structures, extract meaningful features, and learn complex embeddings and patterns automatically. The ANN enables FortiSandbox to understand and respond to sophisticated threats and unknown attacks using non-linearly learned feature space.
• Continuous learning and updates: The AI engine is constantly updated with new threat intelligence and trained on evolving datasets, so FortiSandbox remains effective against emerging threats and new zero-day attacks.

By optimizing workflows and automating routine tasks, the AI-powered algorithms in FortiSandbox 5.0 contribute to significant performance improvements.

How FortiSandbox 5.0 Takes Advantage of AI

The advanced AI in FortiSandbox 5.0 is used in a number of areas to accelerate threat detection and response and improve accuracy:

• Parallel processing: AI-powered algorithms process multiple tasks simultaneously, speeding up analysis and reducing detection time.
• Contextualization: Advanced AI analyzes several factors, such as threat intelligence, network behavior, and system configuration, to contextualize threat data and more accurately assess potential exploitability.
• Prioritization: AI prioritizes suspicious files based on their potential risk.
• Automation: AI automates routine tasks like file classification and analysis, so human analysts have more time to focus on complex threats. The automation also includes clustering samples based on their behaviors.
• Optimized workflows: AI can optimize workflows within FortiSandbox, reducing bottlenecks and improving overall performance.
• ML models: Advanced ML models learn from past data to identify patterns and anomalies that may indicate malicious activity, enabling faster detection.