Noma is building tools to spot security issues with AI apps
Companies are concerned that their eagerness to adopt AI has made them more vulnerable to cyberthreats. Per a recent poll of over 350 IT leaders, more
Companies are concerned that their eagerness to adopt AI has made them more vulnerable to cyberthreats. Per a recent poll of over 350 IT leaders, more than half of the executives surveyed said the complexity of AI applications weakened their organization’s cybersecurity posture. More than two-fifths of executives believe their security teams lack the skills needed to protect their AI applications and workloads, per another survey.
The demand for solutions to secure AI apps has spawned an entire cohort of startups. HiddenLayer and Protect AI, for example, focus on defending AI systems from adversarial attacks, while Cranium provides visibility into AI systems at the application level.
A new venture emerging from stealth today, Noma Security, does all of this and more, claims co-founder and CEO Niv Braun. The startup is developing tools to identify vulnerable data pipelines and code in data science environments, as well as threats like prompt injection attacks.
Braun launched Noma with Alon Tron after leaving customer experience automation firm Verint, where he noticed a “significant blind spot” for security teams in the data and AI lifecycle.
“Existing tools are designed for the traditional software lifecycle,” Braun said. “However, the data and AI lifecycle is inherently different. It involves distinct R&D processes, relies on different technologies, and faces unique technical vulnerabilities within AI models.”