PoVSmith automates PoV test generation for library vulnerabilities in apps via call paths and LLM feedback, correctly identifying 96% of entry points and producing effective attack tests in 55% of 33 evaluated Java pairs.
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A microservices platform integrates endpoint telemetry with BERT-based NLP models for real-time detection and alerting on security threats and hate speech, reporting 87% average accuracy on text classification.
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Generating Proof-of-Vulnerability Tests to Help Enhance the Security of Complex Software
PoVSmith automates PoV test generation for library vulnerabilities in apps via call paths and LLM feedback, correctly identifying 96% of entry points and producing effective attack tests in 55% of 33 evaluated Java pairs.
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A microservices-based endpoint monitoring platform with predictive NLP models for real-time security and hate-speech risk alerting
A microservices platform integrates endpoint telemetry with BERT-based NLP models for real-time detection and alerting on security threats and hate speech, reporting 87% average accuracy on text classification.