arXiv:2607.06608v1 Announce Type: cross Abstract: We present key challenges and future research directions in the security and privacy of agentic AI, based on a horizon-scanning exercise that brought together thirty leading international experts from academia, industry, and government to engage in focused discussions and collaborative exercises on the emerging risks associated with the growing agency of AI.
The rapid development and deployment of increasingly autonomous AI agents necessitate immediate focus on their security and privacy implications before widespread integration.
The proliferation of agentic AI without robust security and privacy measures poses significant risks to critical infrastructure, personal data, and societal stability, making this a foundational debate.
The focus is shifting from basic AI safety to the more complex and urgent challenges of securing autonomous AI systems operating in real-world environments.
- · Cybersecurity firms specializing in AI
- · Academics in AI safety and security
- · Governments establishing AI regulations
- · Companies developing trustworthy AI systems
- · Developers neglecting security-by-design
- · Industries reliant on insecure legacy AI
- · Users of vulnerable AI agents
- · Sectors with high data privacy requirements
Increased funding and research into AI security and privacy.
Development and mandatory adoption of industry-wide security standards for AI agents.
Enhanced geopolitical competition around securing AI infrastructure, potentially leading to cyber warfare focused on autonomous systems.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.AI