HiddenLayer as we speak introduced the launch of a number of new options to its AISec Platform and Mannequin Scanner, designed to reinforce danger detection, scalability, and operational management for enterprises deploying AI at scale. Because the tempo of AI adoption accelerates, so do the threats concentrating on these techniques, necessitating safety measures that keep forward of more and more refined adversaries. These updates to HiddenLayer’s platform permit organizations to deploy AI fashions extra securely throughout numerous environments whereas mitigating vital dangers.
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“It’s important that safety suppliers preserve tempo with the unhealthy actors–particularly in enterprise environments, the place we bear the duty of safeguarding our prospects’ most important belongings,” stated Chris Sestito, CEO and Co-Founding father of HiddenLayer. “These new capabilities enhance danger detection throughout the board and allow us to raised serve and shield prospects with extra versatile and scalable choices.”
AISec Platform: Enterprise-Prepared Safety and Consumer Administration
Along with enhanced detection capabilities, HiddenLayer’s AISec Platform, which offers detection and response for AI fashions, is now outfitted with superior instruments for managing large-scale enterprise deployments. These embrace complete consumer administration options and safe integration with present enterprise infrastructure:
- Consumer Administration: Enterprises can now simply handle tenant customers, together with creating, enhancing, and deleting consumer accounts. This functionality strengthens inside management and entry administration throughout giant organizations.
- SAML SSO: A totally built-in Single Signal-On (SSO) and Function-Based mostly Entry Management (RBAC) expertise ensures directors can securely and effectively assign roles and permissions. The SSO integration additional enhances enterprise readiness by streamlining entry for bigger groups.
Enterprises are dealing with elevated stress to undertake AI applied sciences whereas concurrently navigating a rising panorama of digital threats. HiddenLayer’s new options permit firms to confidently scale their AI initiatives with out sacrificing safety or effectivity, offering a aggressive edge in industries the place belief and innovation are key.
“The safety frameworks established by organizations like ATLAS and NIST are invaluable assets—a few of which we’ve had the privilege to assist form. By integrating well-established safety frameworks into our options, we’re capable of present even stronger, extra adaptable safety to our prospects. In a world the place AI performs an important position in day-to-day enterprise operations, safeguarding these fashions is mission-critical,” stated Malcolm Harkins, Chief Safety & Belief Officer of HiddenLayer.
Mannequin Scanner: Elevated Scalability and Threat Detection
As AI continues to turn out to be an integral a part of the digital provide chain, enterprises should be sure that each element of AI-driven techniques is safe from growth to deployment. HiddenLayer’s Mannequin Scanner reduces the chance of adversarial assaults, with new updates providing enhanced deployment choices and seamless integration into steady integration/steady deployment (CI/CD) pipelines.
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Introducing Mannequin Threat Context: Heightened Detection Threat Context
These updates embrace Mannequin Threat Context, which reinforces the depth of danger detection by mapping recognized threats to widely known business frameworks similar to OWASP, ATLAS, and NIST. This degree of visibility equips organizations with a holistic understanding of potential dangers, enabling them to make knowledgeable safety selections primarily based on the chance profile of AI fashions. Different updates embrace:
- Static Evaluation Outcomes Interchange Format (SARIF): The platform now outputs SARIF from its API, permitting integration with instruments like GitHub Superior Safety that assist the Static Evaluation Outcomes Interchange Format (SARIF).
- Native Mannequin Scanning: Customers can now conduct ad-hoc scans on native fashions, providing better flexibility for proprietary or offline AI belongings.
- CLI Object Storage Help: This function permits enterprises to scan fashions saved in AWS S3 and Azure Blob, enhancing versatility for organizations working throughout a number of cloud environments.
With new integrations similar to JFrog Artifactory and GitHub Actions, and the flexibility to scan fashions instantly from the terminal, the Mannequin Scanner ensures that safety is embedded into each part of AI growth. Enterprises utilizing Google Cloud Platform (GCP) also can profit from a completely self-hosted deployment choice, giving them full management over their AI safety infrastructure.
HiddenLayer’s platform alerts a elementary shift in how enterprises safe their AI environments. With danger detection that maps to business requirements, seamless integration into present workflows, and instruments for versatile deployment, HiddenLayer is setting the brand new commonplace for AI safety. To see how HiddenLayer’s Safety for AI options can shield your enterprise,
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