ThreatModeling AppSec

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khyatiraval
published in ThreatModeling AppSec

Generative AI for Threat Modeling

The increasing volume and complexity of cyberattacks requires organizations of all sizes to secure network architecture proactively. Threat modeling is essential in order to make the shift from reactive to proactive security. The threat modeling process involves identifying objectives and optimizing network security by discovering vulnerabilities and developing mitigations for the threats that may impact a particular system or network. Artificial intelligence can be a useful cybersecurity tool, particularly for detecting patterns and providing rapid insights using technologies like machine learning, deep learning and natural language processing. These capabilities make it especially valuable for under-resourced cyber professionals. How can AI be valuable for threat modeling? AI can help automate the process of manually mapping components (individual elements represented in a threat model) with potential threats and countermeasures to mitigate those threats. This helps cybersecurity pro

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