AppOmni has recently introduced advanced AI security features to enhance its platform, targeting the mitigation of emerging risks associated with AI and SaaS applications.
Addressing AI Risks
To help organizations better manage the increasing adoption of AI technology and mitigate related security challenges, AppOmni has designed solutions that provide comprehensive end-to-end controls. These tools enable companies to identify potential risks, protect sensitive data, detect irregular activities, and effectively respond to evolving threats.
Enhanced Threat Detection
The new features introduced by AppOmni empower security teams with greater control over SaaS and AI applications. Key among these is the ability to monitor sanctioned and unsanctioned AI implementations, which can be embedded within other software-as-a-service (SaaS) tools. This ensures that organizations are aware of any unauthorized or shadow AI applications that could pose risks.
AppOmni’s platform now supports an additional 30 SaaS and AI applications, including popular AI natives such as Anthropic, ChatGPT Enterprise, Claude, Cisco Umbrella, Gong, and OpenAI. These integrations enable users to have a more holistic view of their applications and enhance their ability to govern them in real-time.
Customized Product Packages
- Foundations: Ideal for organizations that are new to SaaS security, this package helps users discover shadow SaaS and AI applications, track app usage and permissions, and identify potential threats. It provides a straightforward introduction to SaaS security.
- Advanced: Tailored for larger enterprises, this solution includes advanced threat detection capabilities and a range of SaaS security posture controls, allowing for more detailed monitoring and management.
- Enterprise: Designed for the most mature SaaS environments, this package offers granular control over baseline SaaS security settings and rule sets. It also supports deep integration with existing security infrastructure, ensuring seamless operation within established systems.
