JupiterOne has introduced two innovative security solutions—AI Attack Surface Management and Unified Vulnerability Management—designed to address challenges posed by the rapid deployment of AI tools and related vulnerabilities across organizations.
- AI ASM maps AI agents, cloud resources, and identities for continuous security visibility.
- UVM links vulnerabilities to attack paths and asset ownership for targeted remediation.
- Both tools leverage JupiterOne’s graph-native platform to correlate and contextualize security data.
What happened
JupiterOne announced the launch of AI Attack Surface Management (AI ASM) and Unified Vulnerability Management (UVM) to help enterprises manage the growing security risks associated with AI system expansion. The tools deliver a consolidated view of AI assets, vulnerabilities, and their interconnected attack paths across complex IT environments.
AI ASM continuously discovers and maps AI agents, cloud infrastructure, and identities, enabling security teams to understand potential risks and attack vectors. UVM improves vulnerability prioritization by evaluating threats in the context of real-world deployments and linking findings to asset owners, which streamlines remediation efforts.
Why it matters
The rapid deployment of AI-powered systems and SaaS applications outpaces traditional security visibility and vulnerability management capabilities. Teams face fragmented tooling and an overwhelming volume of potential risks without actionable context, creating blind spots that attackers could exploit.
JupiterOne’s new offerings address this critical gap by leveraging graph technology to provide relationship-aware security insights. This approach helps security professionals understand how vulnerabilities propagate through the environment and prioritize fixes based on actual business impact, reducing risk more effectively.
What to watch next
Security teams within highly regulated industries are likely early adopters of these tools as they seek comprehensive solutions to manage AI-induced risks. How JupiterOne integrates AI ASM and UVM with existing security workflows and tools will be key to adoption success.
Additionally, the broader market response to graph-native risk management platforms will be important to monitor, especially as AI systems continue to expand and evolve rapidly. JupiterOne's ongoing innovation and investment support, evidenced by $119 million raised, suggest the company is positioning itself for long-term leadership in AI risk management.