Agentic AI has become a crucial technology in shaping enterprise infrastructure, decision-making, and innovation in the digital landscape of 2025 and beyond.
The security challenges associated with agentic AI systems that operate autonomously are increasing, necessitating the development of strategies to safeguard their behaviors and interactions.
Threats to agentic AI systems include prompt injection attacks, vulnerabilities in plug-ins or APIs, credentials compromise, and identity risks.
Companies like Zenity offer platforms focused on enabling AI development with robust governance to mitigate security threats and ensure integrity in autonomous agent deployment.