Noma presents safety from enterprise AI knowledge to deployment

As 2024 nears its conclusion, the state of play in enterprise expertise is that firms of all sizes and domains are eager to leverage their knowledge in generative AI functions that enhance inside (employee-facing) or exterior (cusomter/partner-facing) processes.

Nonetheless, making certain that they achieve this securely is one other problem — particularly for firms that don’t concentrate on safety. For a lot of enterprises, their present safety options might also be insufficient or unprepared for the AI period and the numerous capabilities they need to unleash with their knowledge piped by means of AI.

Enter Noma, an Israeli startup specializing in AI enterprise safety, that at present exits stealth mode wih a Collection A spherical led by $32 million Ballistic Ventures and supported by Glilot Capital Companions and Cyber Membership London, in addition to angels together with the chief data safety officers (CISOs) from firms like McDonald’s, Google DeepMind, Twitter, Atlassian, BNP Paribas, T-Cell, and Nielsen.

Noma offers a complete safety platform that ensures integrity of enterprise buyer’s knowledge from the very begin, earlier than they do something to it, throughout to leveraging it to coach and/or deploy AI fashions and customized functions.

The platform is already in use by a number of Fortune 500 firms.

Tackling safety challenges within the knowledge and AI panorama

Niv Braun, co-founder and CEO of Noma, informed VentureBeat in an interview concerning the urgent want for focused safety in AI workflows. “

“Today’s AI and data science models face unique security risks, like prompt injection and data leakage, that simply aren’t covered by standard security tools,” he mentioned.

These points have gotten extra widespread as organizations expertise safety incidents attributable to misconfigured MLOps instruments and unverified open-source fashions.

This hole impressed Braun and his co-founder, Alon Tron, to create Noma.

“My co-founder Alon and I served together in the military, and we both saw firsthand the gap in security tools for data science and AI workflows,” Braun mentioned. “In application security, we had tools that helped software engineers work securely, but for data teams—data scientists, engineers, and analysts—there was nothing similar. They were left unprotected.”

Each co-founders served in Israel’s elite 8200 intelligence unit. Combining experience from their backgrounds in safety and knowledge science, they shortly a crew expert in AI and utility safety.

What Noma’s three-tiered platform presents

Noma’s platform is designed to safeguard each stage of AI mannequin improvement and operation, incorporating safety instruments that cowl:

1. Information & AI Provide Chain Safety: Ensures safe environments, pipelines, and improvement instruments, mitigating the chance of compromised knowledge and AI provide chains.
2. AI Safety Posture Administration (AI-SPM): Offers a complete stock and safety administration answer for each first- and third-party AI fashions, aiming to guard property earlier than they enter manufacturing.
3. AI Menace Detection & Response: Actively screens AI functions to detect adversarial assaults in real-time and implement security protocols throughout runtime.

Braun emphasised the consolidation that Noma’s platform presents to prospects. “Our platform includes three products: data and AI supply chain security, AI security posture management, and AI runtime defense.”

However, for those who want, every of the three domains will be utilized ad-hoc, a-la-carte.

“A major strength of our platform is that it consolidates everything into one solution,” Braun defined. “While customers can choose just one part, most prefer the comprehensive approach.”

Braun clarified that Noma presents a alternative between an all-inclusive enterprise license and a modular, product-based choice, each on an annual software-as-a-service (SaaS) subscription foundation. He mentioned 95% of consumers have to date chosen the built-in, all-in-one strategy.

Braun’s feedback recommend that the enterprise license is positioned as probably the most cost-effective, versatile alternative for patrons in search of intensive, organization-wide entry to Noma’s options.

Most flexibility and ease-of-use

Noma’s platform is suitable with numerous environments, supporting cloud-based, SaaS, or self-hosted configurations, and installs inside minutes with out requiring code modifications.

“Integration is easy,” mentioned Braun. “All customers need to do is connect our platform via API, and we automatically map and scan everything in their environment.”

This frictionless setup means knowledge science groups can implement safety controls with out disrupting their workflows, a function that Noma highlights as important in high-velocity, AI-powered improvement.

Kobi Samboursky, Founder and Managing Accomplice at Glilot Capital Companions, extolled the worth of Noma’s unified strategy in a press launch: “AppSec evolved over decades with fragmented tools for static and dynamic analysis, open source, supply chain, and runtime. Security teams have come to realize that they need consolidated solutions. Noma is uniquely positioned to tackle this problem from the start, consolidating multiple use cases into a single platform.”

As well as, Noma will be utilized by these with out intensive coaching in safety or knowledge infrastructure.

“We engage with both data and AI teams as well as security teams, and our platform doesn’t require deep expertise in either field,” he mentioned. “Even in cases where security teams ran POCs (proof of concepts) without data science teams involved, they found it easy to integrate and use.””

On the similar time, the platform turns these topics into digestible, easy-to-understand insights for workers working in all departments.

“The platform itself is very self-educating,” Braun famous. “It explains the basic principles of security in a way that application security teams are familiar with, but with a new ‘data and AI’ layer.”

Addressing {industry} needs and desires

As safety and compliance turn out to be extra important in AI adoption, Noma goals to facilitate collaboration between knowledge science and safety groups.

“Our mission is to bridge the gap between data science and security teams, making it easy for both to collaborate on securing AI workflows,” Braun mentioned.

Noma’s strategy is designed to enhance transparency and simplify safety processes.

“We make security simple for both teams, providing clear, understandable risk information and steps for remediation,” he added. “It’s all about reducing friction and improving collaboration.”

Jake Seid, Co-founder and Normal Accomplice at Ballistic Ventures, emphasizes the significance of safety from the outset in a press release in a press launch.

“As security and compliance become more top of mind for organizations adopting AI, embedding security from the start ensures that innovation can flourish without compromise,” Seid mentioned. “Noma’s approach gives AppSec teams full visibility and confidence while empowering data science teams to move fast and drive business value.”

Noma’s ambitions are to steer the rising discipline

Noma’s entry into the market marks a big step in securing AI-driven enterprise operations at scale.

With the rising use of AI in important functions, the potential for safety vulnerabilities in AI workflows turns into extra acute.

Noma’s platform offers a much-needed safeguard, permitting enterprises to harness AI’s potential with out compromising on safety.

As well as, Noma is actively contributing to AI safety requirements and has participated within the improvement of U.S. authorities pointers, equivalent to NIST SP 800-218A, by means of its involvement with the OWASP AI Trade.

With $32 million in recent funding and early traction amongst high-profile prospects, Noma seeks to turn out to be a frontrunner within the rising discipline of knowledge and AI lifecycle safety.