Cybersecurity
Research
At Cisco Research, our focus is on studying, solving, pushing the boundaries of knowledge, as well as creating impact in the domain of security and privacy. We have been working on foundational and problems that when solved can lead to scientific, societal and business impact. In addition to internal research projects, we actively sponsor and collaborate with academic research teams.
Our current research areas are as follows:
We have research projects across the breadth and depth of cybersecurity research areas and subareas: AI + Security, AI + Privacy, Quantum-resistant security, cryptography, applied cryptography, secure multi-party computation, threat and attack surface analysis, automation of security operations, systems security, secure software engineering, cloud security, IoT and edge security, metaverse security, blockchain and cryptocurrency.
Cisco Research Awards have supported several faculty members, and students across the United States and the world.
Projects
Quantum-Resistance
AI for Security
- Graphene:AI-driven Attack Graphs and Risk Analysis
- GraphBOM:Software supply chain security platform
- Gamma:GenAI based security test generation
Security for AI
- CoHal:Code Hallucination: Code Hallucination and Security Implications
- GenAI/LLM Caching:Semantic Caching Platform for GenAI and LLMs