ioXt Contributes to NIST Cyber AI Profile Workshop, Advancing Secure Adoption of Artificial Intelligence
ioXt Contributes to NIST Cyber AI Profile Workshop, Advancing Secure Adoption of Artificial Intelligence
Los Angeles, CA — As artificial intelligence continues to evolve at unprecedented speed, the cybersecurity frameworks designed to manage its risks must advance just as quickly. ioXt Alliance, the Global Standard for IoT Security, recently participated in a National Institute of Standards and Technology (NIST) Cyber AI Profile workshop hosted by the National Institute of Standards and Technology through its National Cybersecurity Center of Excellence (NCCoE).
The workshop brought together cybersecurity and AI leaders to provide technical input on NIST’s proposed Cyber AI Profile—an effort to extend the NIST Cybersecurity Framework (CSF) to address emerging risks associated with AI development, deployment, and use.
During the sessions, several key themes emerged:
Defending Against AI-Enabled Threats
AI has long played a role in strengthening cybersecurity. The next phase, however, centers on using AI to defend against AI-generated attacks. As threat actors increasingly automate and scale their operations, defensive systems must evolve in parallel to remain effective.
Managing the Risks of Agentic AI
The transition from static, predictive AI systems to generative and agentic AI introduces new complexity. Systems that can take autonomous actions significantly expand the attack surface. New models are often tested and targeted within days of release, underscoring the need for proactive vulnerability assessment, continuous evaluation, and stronger technical and governance guardrails.
Addressing Training Data Vulnerabilities
Large-scale training datasets create new opportunities for data poisoning and embedded threats. As a result, synthetic data, rigorous model evaluation, and ongoing validation are increasingly becoming core components of AI defense strategies.
Strengthening Governance and Frameworks
While most AI deployments today remain predictive, broader adoption of generative and agentic systems will require clearer governance structures, stronger controls, and coordinated frameworks that can adapt to rapid technological change.
NIST’s Cyber AI Profile initiative is focused on three primary sources of organizational risk: the cybersecurity of AI systems, AI-enabled cyber attacks, and AI-enabled cyber defense. The profile is intended to help organizations at all stages of AI adoption manage these risks using familiar CSF-based approaches.
“At ioXt, we are encouraged by the progress being made through NIST’s Cyber AI Profile,” said Grace Burkard, Director of Operations at ioXt. “Collaboration between standards bodies, industry, and the cybersecurity community is essential to ensuring AI innovation is matched with robust, scalable security practices. We look forward to continued engagement as this framework develops.”
NIST is currently reviewing public comments on NIST IR 8596, Cybersecurity Framework Profile for Artificial Intelligence, and continues to advance related guidance through its Cybersecurity and AI initiatives.
Cybersecurity and AI Workshop Concept Paper: HERE
For more information about ioXt and its work advancing global IoT and AI security standards, visit www.ioxtalliance.org.
About ioXt Alliance
ioXt Alliance is the global standard for IoT security, bringing together leading technology manufacturers, security experts, and certification bodies to raise the baseline of security for connected products worldwide. Through its certification programs and international partnerships, ioXt works to ensure IoT security is consistent, transparent, and trusted across global markets.
Contacts
Grace Burkard
Director of Operations
marketing@ioxt.com
https://www.ioxtalliance.org/
