The field of cybersecurity and artificial intelligence is moving towards a more integrated and interoperable approach. Researchers are focusing on developing innovative methods to detect and prevent cyber attacks, such as HTTP flooding attacks and DNS-tunneling malware. Furthermore, there is a growing need for standards and protocols to enable seamless communication and collaboration between AI-powered agents and systems. This trend is driven by the increasing complexity and fragmentation of digital ecosystems, which necessitates the adoption of minimal standards to ensure open, secure, and widely-adopted solutions. Notable papers in this area include:
- Collaborative Agentic AI Needs Interoperability Across Ecosystems, which proposes a minimal architectural foundation for collaborative agentic AI.
- Domainator: Detecting and Identifying DNS-Tunneling Malware Using Metadata Sequences, which presents an approach to detect and differentiate state-of-the-art malware and DNS tunneling tools.
- AgentDNS: A Root Domain Naming System for LLM Agents, which introduces a structured mechanism for service registration, semantic service discovery, secure invocation, and unified billing for LLM agents.