Enabling Secure AI

Privacy Enhancing Technologies (PETs) are here and ready to enable Secure AI capabilities to enhance decision making, protect privacy, and combat broader legal, societal, and national security risks.

Secure AI Milestones Infographic

Enveil Explains: Secure AI from Enveil on Vimeo

PETs-Powered Secure AI

Encrypted Evaluation/Inference

Encrypted Model Training/ Federated Learning

Encrypted Model Validation

PETs-Powered Secure AI

Encrypted Evaluation/Inference

Encrypted Model Training/ Federated Learning

Encrypted Model Validation

We are firmly in the AI era. Driven by data, the impact these technologies have on our lives, businesses, and society at large will only continue to grow. It’s up to us to harness this potential in a responsible way that does not sacrifice our values — Privacy Enhancing Technologies can answer the challenge today. A family of technologies uniquely equipped to enable, enhance, and preserve the privacy of data throughout its lifecycle, PETs secure the usage of data and allow users to capitalize on the power of AI while mitigating risks and prioritizing protection.

Enveil’s ZeroReveal Machine Learning solutions extend the boundary of trusted compute by delivering Secure AI across boundaries and silos of disparate, decentralized datasets. ZeroReveal ML delivers Privacy Preserving Machine Learning (PPML) and encrypted federated learning to enable advanced decisioning in a secure and private capacity.

Why it matters?

To deliver the best outcomes, AI/ML capabilities need to be trained, enriched, and leveraged over a broad, diverse range of data sources.

When an ML model is trained on new and disparate datasets, it becomes smarter over time, resulting in increasingly accurate and valuable insights that were previously inaccessible. However, these models encode the data over which they were trained. When the data sources contain sensitive information, using these models raises significant concerns because adversarial ML attacks can glean sensitive information. This makes any vulnerability relating to the model a liability while it's being leveraged or trained.

The AI functionality that promised to deliver business-enhancing, actionable insights now substantially increases the organization’s risk profile.

As the Artificial Intelligence market continues to expand exponentially on a global scale, it is critical that leaders support efforts to drive the safe, responsible, and trustworthy use of these technologies. Now is the time to demonstrate AI leadership by bolstering frameworks and funding tools and technologies that prioritize privacy and security while encouraging adoption.

Enveil’s ZeroReveal Machine Learning solutions exemplify how PETs can be used to deliver Secure AI capabilities that enable mission and business outcomes. Organizations can securely enrich existing ML models by expanding the pool of available data sources for training and deployment options. Encrypted models can be leveraged across jurisdictional, third-party, and organizational boundaries, even when using highly sensitive or proprietary models, allowing organizations to securely and privately derive insights and improve outcomes.

The ability to securely train and evaluate ML models against data sources across silos and boundaries opens the door to a number of use cases where enhanced risk-based decision making drives positive outcomes for business and mission users.