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By Protegrity
The need for a new type system. The age of quantum is about to begin, like Sauron in The Lord of the Rings, who seeks to dominate Middle-earth and all its inhabitants. Its ascendance is around the corner, starting to establish a new world order, still in the depths of Mordor, yet ever-so magically manifesting itself on the heels of the Crypto Winter.
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By Protegrity
Securing PCI and PII data is at the core of what we do at Protegrity. You can try out Protegrity’s capabilities today, through our API Playground. This section walks you through some sample scenarios of de-identifying PCI data, so that it is removed from your environment and only reversed once it leaves it. To run this example, you have to be signed up to the Protegrity API Playground.
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By Protegrity
The European Union’s AI Act, set to be enforced in 2025, is set to transform how businesses approach artificial intelligence. Designed to regulate AI development and deployment, the Act aims to ensure ethical, safe, and transparent AI usage. However, many organisations still struggle with compliance.
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By Protegrity
Organisations must adopt robust compliance strategies to align with the EU AI Act’s stringent requirements. This involves implementing effective data governance frameworks, ensuring data quality and integrity, and leveraging advanced data security solutions.
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By Protegrity
The Payment Card Industry Data Security Standard (PCI DSS) has been a critical framework for protecting cardholder data for the last two decades. It’s also presented a major — and gradually rising — compliance challenge for organizations that handle cardholder data. That challenge is set to ramp up significantly in the coming months, as security standards become even more stringent with PCI DSS 4.0 updates taking full effect in March 2025.
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By Protegrity
You’re sitting in your office, staring at a screen filled with data. Customer information, financial records, sensitive business intel – it’s all there, flowing through your systems like digital lifeblood. That data, however, isn’t just sitting behind your firewall anymore. It’s zipping across cloud platforms, being crunched by AI models, and shared with partners across the globe. Welcome to the new reality of data security.
The truth about cybersecurity is that it's almost impossible to keep hackers outside of an organisation, particularly as the cybercrime industry becomes increasingly sophisticated and their technology more advanced. Furthermore, once a hacker has broken through an organisation's defences, it is relatively easy to move within the network and access information without being detected for days and even months. This is a significant concern for Banking and Financial Services organisations, which house valuable sensitive and Personally Identifiable Information (PII).
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By Protegrity
The Payment Card Industry Data Security Standard (PCI DSS) is a global security framework established by major credit card brands that outlines security requirements for any organization handling cardholder data, including encryption, access control, and network security. PCI DSS is regularly updated, and Version 4.0, effective March 2025, focuses on allowing organizations to tailor security controls to their specific needs.
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By Protegrity
Generative AI (GenAI) applications, especially through Retrieval-Augmented Generation (RAG) pipelines, are transforming business interactions with data. These pipelines leverage language models and extensive enterprise knowledge bases for real-time queries of large internal datasets. Robust data privacy and security solutions are essential. Amazon Bedrock’s native security guardrails address this need.
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By Protegrity
The way we think about data security is changing. Organizations need to protect sensitive information while still making it accessible for innovation and business growth. But as cyber threats grow more sophisticated and regulations become more stringent, security teams face a major challenge. This is where Data Security Platforms (DSPs) come in—they provide a unified approach to safeguarding data, ensuring compliance, and reducing complexity.
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By Protegrity USA Inc.
Securing LLM Workflows with Protegrity AI Developer Edition Learn how to protect sensitive data and prevent malicious prompt injections in your AI applications. In this technical walkthrough, Dan Johnson, Software Engineer at Protegrity, demonstrates a dual-gate security architecture designed to safeguard Large Language Models. Discover how to implement a security gateway that sits between your users and your LLM. This demonstration covers the integration of semantic guardrails and classification APIs to ensure data privacy and system integrity.
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By Protegrity USA Inc.
Want to test Protegrity’s data protection features without any local installation? In this tutorial, Dan Johnson shows you how to make your first protect and unprotect API calls directly in your browser using our interactive Jupyter Notebook (Binder). This is the fastest way to see Protegrity’s Python SDK in action—authenticating, applying protection policies, and maintaining data utility in real-time.
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By Protegrity USA Inc.
Stop struggling with complex security setups and get straight to building with the Protegrity Developer Edition. Our demo series, hosted by Dan Johnson, shows you how to deploy a full, self-contained data protection environment on your local machine in under 15 minutes using GitHub and Docker. You will learn to master everything from PII discovery and automated redaction to advanced encryption and semantic guardrails for AI workflows.
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By Protegrity USA Inc.
In this installment of our AI Developer Edition Set-up series, Dan Johnson, a software engineer at Protegrity, introduces semantic guardrails. Learn how to protect your LLM and chatbot workflows from malicious prompts and insecure AI responses. As AI becomes central to enterprise operations, controlling the context of conversations is a major challenge. Semantic guardrails provide a safety layer that ensures your AI stays on topic and never leaks sensitive PII.
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By Protegrity USA Inc.
Dan Johnson, a software engineer at Protegrity, demonstrates how to use the Protegrity Developer Edition to identify and redact Personally Identifiable Information (PII) from unstructured text. Building on our installation guide, we walk through real-world use cases using the Python SDK and Core Edition to transform "useless" raw data into secure, usable information for your AI and ML workflows.
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By Protegrity USA Inc.
Move beyond outdated security models that focus on protecting data infrastructure rather than the data itself. By embedding protection that travels with the data, you create a deterministic environment where data knows its own purpose and enables innovation at scale. Visit Protegrity.com to learn more.
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By Protegrity USA Inc.
In this video, Dan Johnson walks through the core data protection capabilities of the Protegrity AI Developer Edition. We transition from simple data discovery and redaction to more advanced workflows: protecting, unprotecting, encrypting, and decrypting sensitive PII (Personally Identifiable Information). What You’ll Learn: Timestamps: - Exploring the Help command and parameter options Resources.
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By Protegrity USA Inc.
We are at an inflection point where AI, compliance, and quantum are exposing the dangerous fragility of traditional "envelope" security. The organizations that thrive in the next decade will be those that set their data free by embedding deterministic protection directly into the data itself. The organizations that lead the next decade won't just have better AI, they'll have better data security. Visit Protegrity.com to learn more.
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By Protegrity USA Inc.
Why Your Data Security Model Is Outdated For over 20 years, we’ve focused on the Data Envelope—securing the perimeter, the cloud, and the network. But in a world of AI and rapid data sharing, protecting the envelope is not enough. In this video, James Rice (VP of Product Marketing at Protegrity) explains why traditional security has become the biggest bottleneck for modern innovation. Whether you are a security leader, a data architect, or a business innovator, understanding this paradigm shift is essential for the next decade of growth.
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By Protegrity USA Inc.
Most developers know the pain of setting up enterprise security software—hours of dependencies, complicated installs, and endless permissions that slow projects down before they even start. Protegrity Developer Edition is different. It installs the way developers work: lightweight, local, and fast. In this demo, Dan Johnson, a software engineer at Protegrity, walks through the complete setup process.
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By Protegrity
With privacy now a top priority for lawmakers and consumers, companies must protect and leverage data for their strategic benefit. Data privacy can be daunting for organizations to spearhead on their own. Thankfully, Protegrity takes the guesswork out of complying with regulations, protecting personal information, and analyzing data for trends and AI-driven initiatives.
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By Protegrity
As companies migrate sensitive data to cloud-based applications like Snowflake and the Google Cloud Platform, prioritizing a data security solution with easy-to-use security controls is the key to your company's success. With Protegrity, you'll be able to manage sensitive data, no matter where it goes.
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By Protegrity
In today's world, more and more companies are moving their data to the cloud, but malware and cyberattacks still exist. Protegrity can help your company remain secure even as it explores different cloud environments. From SaaS applications to data stockpiles, Protegrity Cloud Protect simplifies the enforcement and management of data-security policies across disparate cloud systems and tools - all through one centralized solution.
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By Protegrity
It's Time to 'De-Identify' Your Data. In the face of costly data breaches and increasing regulatory pressure, protecting your data and that of your customers should be your top priority. rotegrity can fully protect your data as it moves through cloud and on-premises environments with pseudonymization, anonymization, and other future-forward data protection methods.
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By Protegrity
At its core, tokenization simply substitutes a randomly generated value or "token" for a cleartext value. A lookup table is then used to trace the cleartext value back to the corresponding token so an authorized user can use a digital token to read the data.
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By Protegrity
As companies embrace the operational flexibility of the cloud, security, and compliance concerns are at the forefront of their minds. Developing a proper cloud data-protection architecture requires a personalized and innovative security approach - that's where Protegrity steps in.
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Our data protection system protects sensitive data anywhere and everywhere, empowering organizations across the globe to use data to create better customer experiences, make intelligent decisions, and fuel innovation.
Protegrity’s Data Protection Platform centralizes policy, audit, logging, and monitoring to secure sensitive data. Our decentralized policy enforcement enables businesses to embed data protection for data in motion, at rest, and in use, while allowing them to protect specific data types with the full range of protection methods they require.
The Business Case for Data Protection:
- Protect sensitive data, where it travels or resides, without impacting usability.
- Protect the data regardless of the different attack methods. If a breach occurs, data is de-identified and is unusable.
- Accelerate and be confident in adopting new technologies with proven, future-proof protection.
- Quantify security and privacy for data sets to lower your enterprise risk profile and meet evolving privacy laws across the enterprise.
- Decrease time to market for new AI and analytics use cases by enabling rapid, secure usage of sensitive data.
- Establish a centralized data privacy service for the enterprise to meet Data Sovereignty requirements.
- Adopt and enforce global regulations as data privacy requirements evolve.
- Simplify and standardize rules for sensitive data with centralized policy management.
- Secure data access with role-based access control, regardless of platform, silo, or access path.
Make your data secure and borderless.