HiddenLayer in the News
See how our research, leadership, and innovations are shaping the global conversation on AI security.
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ServiceNow launches Control Tower Alliance to help enterprises adopt AI safely at scale
HiddenLayer joins ServiceNow’s Control Tower Alliance as a founding member, helping enterprises secure AI and address emerging agentic threats as they scale.
SANTA CLARA, Calif.--(BUSINESS WIRE)-- ServiceNow (NYSE: NOW), the Super Intelligence Control Tower for business reinvention, today announced the ServiceNow Control Tower Alliance, a new ecosystem of leading companies in AI, cloud infrastructure, security, governance, value measurement and token metering, who will work with ServiceNow to help customers adopt trusted enterprise AI safely at scale. Founding members of the new program include Anthropic, Amazon Web Services (AWS), Cisco, HiddenLayer, Kong, NVIDIA, Okta, OpenAI, Stripe, WitnessAI, and Zenity. Members will help ServiceNow customers turn AI into business impact – discovered, observed, and governed through the ServiceNow Super Intelligence Control Tower.
The ServiceNow Super Intelligence Control Tower has one clear mission: give customers a centralized control plane to discover, secure, govern, observe, and measure enterprise AI. The Control Tower Alliance extends this mission with AI innovators, cloud providers, security companies, governance platforms, and technology partners aiming to help customers safely put AI to work for people. The Control Tower Alliance will coexist alongside the ServiceNow Store and Workflow Data Network Partner Passport programs.
“As AI agents have exploded in number and capacity, it’s become clear that no single solution, no matter how powerful, can see everything, protect anything on its own. AI governance requires an ecosystem of partners willing to innovate together on an open platform to protect every vulnerable point in an enterprise,” said Amit Zavery, president, chief product officer and chief operating officer, ServiceNow. “Through the Control Tower Alliance, we are working with industry leaders to build governance and security that keeps pace with innovation to give customers the visibility, control and confidence to transform with AI.”
The Control Tower Alliance is designed for partners to work with ServiceNow in three ways:
- Build together: Partners and ServiceNow will collaborate on building differentiated solutions that run on the Super Intelligence Control Tower and are easy for customers to deploy. For partners, this means building on the platform enterprises already use to govern AI, rather than offering a standalone tool that customers have to integrate themselves.
- Deliver with governance: Curated, pre-integrated solutions pass ServiceNow qualification and certification, and shared standards for agent identity and safety guardrails keep AI accountable to the business.
- Sell and lead together: Select partners and ServiceNow collaborate to integrate their solutions with Control Tower, to create unique offerings that are sold and supported globally by ServiceNow, so that partners don’t have to build a path to enterprise buyers alone.
For customers, the alliance means a curated set of AI solutions that have passed ServiceNow qualification, certification and integration testing before they are listed. Customers can adopt integrated solutions faster, with governance in place from the start, and scale AI with confidence.
Founding Member Comments
- “Enterprises are moving rapidly from AI pilots to production, and security and governance must be built in from the start,” said DJ Sampath, SVP and GM of AI Software and Platform, Cisco.“By connecting Cisco AI Defense with ServiceNow, customers can now bring AI asset visibility and security findings and ultimately drive remediation. We are pleased to join the ServiceNow Control Tower Alliance as a launch partner, and together, we’re helping organizations scale AI securely.”
- "As enterprises move AI from experimentation into mission-critical business operations, security must be foundational to that transformation. HiddenLayer brings purpose-built, complete AI security to the partnership, while ServiceNow brings the enterprise platform and workflow orchestration needed to turn intelligence into action at scale," said Christopher Sestito, CEO and co-founder, HiddenLayer. "Together, we're helping orgs address emerging agentic threats while building the confidence to deploy AI agents broadly across their business."
- “ServiceNow is bringing the enterprise context and governance needed to scale AI with confidence,” said Augusto Marietti, CEO and co-founder, Kong. “We’re proud to help extend that governance into real-time enforcement across the APIs, models, and tools that AI agents depend on.”
- “As AI agents take on more work, enterprises need to know exactly what they can do and what they can’t,” said Pat Lee, VP of Strategic Partnerships, NVIDIA.“ServiceNow gives agents the workflows and business context to get work done. NVIDIA OpenShell enforces the boundaries at runtime. The Control Tower Alliance brings these technologies together so enterprises can scale agents across the business with clear permissions, visibility and control.”
- "Enterprise AI adoption stalls when organizations lack a central way to cut off a rogue agent's access," said Ely Kahn, chief product officer, Okta."The Control Tower Alliance furthers our ongoing work with ServiceNow, which combines their containment decision layer with Okta's kill switch capability to block new token requests from agents acting beyond their intended scope. Looking ahead, our shared vision is to advance the open standards needed to make a cross-platform kill switch possible, helping our customers revoke an agent’s access across necessary systems without disrupting the broader ecosystem.”
- “AI is changing how enterprises charge for software, with pricing increasingly tied to usage and outcomes,” said Scott Woody, CEO & founder of Metronome, a Stripe product. “We’re joining the Control Tower Alliance to help businesses put those models into practice with reliable billing, real-time visibility into usage, and controls on spending.”
- “The integration of WitnessAI’s unique LLMs designed to understand behavioral intent and ServiceNow Super Intelligence Control Tower brings new levels of AI policy control, usage analytics, and cost controls,” said Dan Graves, Chief Product Officer, WitnessAI. “Behavioral-based prompt routing ensures that human and nonhuman workers are productive without breaking regulations or budgets.”
- “Partnering with ServiceNow gives enterprises the confidence and control to put AI agents to work across the business,” said Ben Kliger, CEO, Zenity.“Zenity pioneered AI Agent Security and continues to define the category, with deep protection and control across the agent lifecycle. ServiceNow Super Intelligence Control Tower extends that security across the enterprise, embedding it into the workflows customers already rely on. As a founding member of the Control Tower Alliance, Zenity is helping shape how enterprises govern, secure and scale the next generation of AI agents.”
Additional Information
More information about the ServiceNow Control Tower Alliance is here.
About ServiceNow
ServiceNow (NYSE: NOW) is the Super Intelligence Control Tower for business reinvention. The ServiceNow platform integrates with any model, any cloud, and any data source to orchestrate, govern, and secure work across the agentic enterprise. ServiceNow gives customers the enterprise context and control to build and scale confidently. With more than 100 billion workflows running on the platform each year, ServiceNow helps organizations turn fragmented operations into coordinated, autonomous work for IT, CRM, Security, Employee Experience, and more. Learn how ServiceNow puts AI to work for people at www.servicenow.com.
About HiddenLayer
HiddenLayer protects predictive, generative, and agentic AI applications across the entire AI lifecycle, from discovery and AI supply chain security to attack simulation and runtime protection. Backed by patented technology and industry-leading adversarial AI research, our platform is purpose-built to defend AI systems against evolving threats. HiddenLayer protects intellectual property, helps ensure regulatory compliance, and enables organizations to safely adopt and scale AI with confidence
ServiceNow Forward-Looking Statements
This press release contains “forward-looking statements” about the expectations, beliefs, plans, and intentions relating to the ServiceNow Control Tower Alliance. Such statements include statements regarding future product capabilities, integrations, alliance offerings, collaborations with alliance members, and expected benefits to ServiceNow and its customers. Forward-looking statements are subject to known and unknown risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. If any such risks or uncertainties materialize or if any of the assumptions prove incorrect, ServiceNow’s results could differ materially from the results expressed or implied by the forward-looking statements made. ServiceNow undertakes no obligation, and does not intend to update the forward-looking statements. Factors that may cause actual results to differ materially from those in any forward-looking statements include: (i) delays and unexpected difficulties and expenses in developing, integrating, certifying, and deploying the alliance offerings; (ii) changes in the regulatory landscape related to AI; (iii) challenges associated with collaboration among alliance members and third-party technology providers; and (iv) uncertainty as to whether customer demand and sales will justify the investments in the alliance offerings and related product capabilities. Further information on factors that could affect ServiceNow’s financial and other results is included in the filings ServiceNow makes with the Securities and Exchange Commission from time to time.
© 2026 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated.
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HiddenLayer Partners with Databricks
HiddenLayer is excited and proud to announce its strategic partnership with Databricks. HiddenLayer can now integrate with Databricks to increase the security of intellectual property through detecting and preventing adversarial machine learning attacks and scanning models for malicious code and vulnerabilities.
Introduction
HiddenLayer is excited and proud to announce its strategic partnership with Databricks. HiddenLayer can now integrate with Databricks to increase the security of intellectual property through detecting and preventing adversarial machine learning attacks and scanning models for malicious code and vulnerabilities.
There is little doubt that Artificial Intelligence is here to stay, with AI making headlines all over the news and becoming a hot topic of discussion across the globe. According to Gartner, "AI will be a critical driver of the next wave of digital innovation, creating $3.9 trillion in business value and 6.2 billion hours of worker productivity globally by 2022." Databricks is helping facilitate this meteoric rise of AI adoption as the creator of the lakehouse category and leader in the Machine Learning Operations (MLOps) market, while HiddenLayer is a pioneer in the research and defense of artificial intelligence application security.
Databricks Machine Learning, built on an open lakehouse architecture, is proven to empower ML teams to accelerate end-to-end ML. This new ability to integrate means the entire Databricks enabled MLOps lifecycle is now able to be secured right from your Databricks infrastructure - ensuring the most seamless, scalable and efficient Model security solution available on the market.
“Databricks + HiddenLayer is a powerful combination. Databricks has become an industry leader in ML Operations with MLflow and their model serving capability, helping data science teams design, develop, and deploy ML Models at a rapid pace. With HiddenLayer, companies can embed security throughout the entire ML Ops lifecycle from the cradle to the grave.” Howard Levenson, AI Industry Advisor.
Databricks & MLOps
Databricks and its Lakehouse Platform are used by data science teams worldwide for the following reasons:
- Collaboration: Databricks has a strong focus on collaboration and sharing, allowing multiple users to easily work on the same data and projects.
- Notebook environment: Databricks provides a notebook environment, similar to Jupyter Notebook, which allows data scientists to easily document their work, share their findings, and collaborate with others.
- Multi-language support: Databricks supports a wide range of programming languages, including Python, R, SQL, and Scala allowing data scientists to use their preferred language for data analysis and Machine Learning.
- Built-in libraries: Databricks provides built-in libraries for Machine Learning, such as TensorFlow, Keras, PyTorch, and scikit-learn, which makes it easy to perform advanced Machine Learning tasks.
- Data Management: Databricks Lakehouse platform provides a unified data management layer that allows users to easily access and analyze data from various sources, including structured and unstructured data, real-time streams, and data lakes. It also provides data catalog, data governance and data lineage features that allows for easy discovery, understanding and trust of the data.
- Advanced analytics: Databricks allows for easy integration with other open-source tools and libraries like DeltaLake, MLflow, and Koalas, which can help data science teams to perform advanced analytics such as time-series analysis, image recognition and natural language processing.
Security for Artificial Intelligence
With HiddenLayer’s partnership, Databricks can now add security and enhanced integrity to its long list of benefits provided to data science teams. Enterprise companies worldwide are rapidly incorporating artificial intelligence into their tech stack and introducing ML Models as a new cybersecurity attack surface which need to be monitored and protected.
Cyber Threat Actors are continuously evolving and devising new adversarial machine learning tactics and techniques. Given that many Machine Learning model inputs and predictions are publicly exposed, they are inherently vulnerable to these new attacks. According to Gartner, “Through 2022, 30% of all AI cyberattacks will leverage training-data poisoning, AI model theft, or adversarial samples to attack AI-powered systems.”
HiddenLayer’s MLSecPlatform and its flagship product HiddenLayer MLDR will protect your ML Models via the Databricks integration. HiddenLayer MLDR is a first of its kind cybersecurity solution that monitors, detects, and responds to Adversarial Machine Learning attacks targeted at ML Models. Our patent-pending technology provides a noninvasive, software-based platform that monitors the inputs and outputs of your Machine Learning algorithms for anomalous activity consistent with adversarial ML attack techniques. Response actions are immediate with a flexible response framework to protect your ML. Using HiddenLayer empowers your company to:
- Protect your intellectual property: Proprietary Machine learning models are the definition of critical intellectual property. If ML models are not secured, they may be used by unauthorized parties without permission, cloned, or stolen. Companies who proactively secure their ML models can safeguard their organization's intellectual property from being compromised.
- Ensure data privacy: Machine Learning models are often trained on large amounts of data, which can include sensitive information. Left unsecured, this data may be accessed by unauthorized parties, leading to potential data breaches and regulatory violations.
- Maintain accuracy: Machine Learning models can be reverse engineered, poisoned, and altered, leading to decreased accuracy, efficacy, and trustworthiness.
- Preserve your competitive advantage: Machine Learning models give companies advantages over the competition. Left unsecured, others may be able to replicate your results and catch up to you. Securing your models helps ensure that you maintain your competitive advantage.
How HiddenLayer Integrates with Databricks
The HiddenLayer-Databricks integration wraps an ML model as it is registered (saved) in Databricks Lakehouse. The integration is model agnostic and includes model scanning and model detection and response. This enables Data Scientists and ML Engineers to add security to their models with no code or behavioral changes to their environment. As the model is loaded, it will be scanned by HiddenLayer's model scanner to ensure integrity as well as security. If an attack is detected, the integration will handle the response accordingly without any human interaction needed. With the peace of mind of ML Models protected by HiddenLayer, Data Science teams can focus their attention on building their advantage without sacrificing integrity or security.
Conclusion
Incorporating security into machine learning operations is critical for data science teams. With the increasing use of machine learning models in sensitive areas such as healthcare, finance, and national security, it is essential to ensure that machine learning models are secure and protected against malicious attacks. By embedding security throughout the entire machine learning lifecycle, from data collection to deployment, companies can ensure that their models are reliable and trustworthy.
Databricks Lakehouse Platform enables data science teams to design, develop, and deploy their ML Models rapidly while HiddenLayer MLSec Platform provides comprehensive security to protect, preserve, detect, and respond to Adversarial Machine Learning attacks on those models. Together, the two solutions empower your company to rapidly and securely deliver on your mission to advance your Artificial Intelligence strategy.
To learn more or try HiddenLayer’s integration with Databricks, please contact info@hiddenlayer.com.
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