FAQs

What is RegTech?

Short for regulatory technology, RegTech is the application of technology—including AI, automation, and data analytics—to simplify, enhance, and assist regulatory compliance. RegTech can offer organizations cost-effective, practical ways of improving compliance processes such as fraud detection, stress testing, risk assessment, and much more. Learn more.  

Why should I use AI for compliance?
AI can be an extra set of eyes, helping expand and deepen compliance oversight. Its ability to rapidly process huge volumes of data can give compliance teams easy access to real-time analytics and risk reporting for a faster, more streamlined compliance experience. Together, these capabilities can help scale compliance processes beyond human limitations.

What are the different types of AI?

Artificial intelligence (AI) is an umbrella term for many techniques that enable machines to mimic human behavior. Types of AI include:  

• Rules-based: The simplest type of AI, consisting of systems where humans define the patterns via rules pre-written by experts. 

• Machine learning: Computers learn to recognize complex patterns in data without humans having to explicitly describe all the patterns of interest. 

• Natural language processing: A subset of machine learning in which computers understand human language as it’s written and spoken. 

• Generative AI: Instead of analyzing something that already exists, computers create new content based on patterns and data they have learned from. 

• Large language models: Computers trained on billions of datapoints use existing text (input) to generate new text (output). 

• Agentic AI: Systems designed to act as agents and interact smartly and, in some cases, autonomously, invoking other technologies and capable of making decisions. 

What are some risks of using AI?

AI risks range in significance, including inaccuracy, model drift, data privacy risks, and lack of model transparency. Most risks associated with AI can be mitigated with appropriate human oversight and appropriate controls. 

How were Saifr’s AI models trained?

• SaifrReview was trained on high-quality, compliance-curated data that represents over 20 years of work by thousands of marketing and compliance experts in various lines of business within the financial services industry.
• SaifrScreen’s text models were trained on publicly available web documents, while its client-specific risk relevancy models are trained on client feedback on the outputs of the text models.
• Saifr eComms’ models were trained on a variety of sources, including open-source and synthetic data. 

SaifrReview’s, and Saifr eComms’ dataoutputs were validated by subject matter experts—humans in the loop—to help mitigate bias and ensure accuracy. 

Which regulations can Saifr help address?

Across three product areas, Saifr helps firms comply with aspects of numerous financial services regulations:  

• Public communications:  

• For Investments: FINRA 2210, SEC 482, SEC Marketing Rule  

• For insurance:  NAIC model laws 

• Adverse media screening: Anti-money laundering regulations, Know Your Customer expectations, Bank Secrecy Act, U.S. Office of Foreign Assets Control sanctions 

• Electronic communications: Bank Secrecy Act; aspects of numerous regulations from U.S. federal law, FINRA, SEC, CFPB, OCC 

How does Saifr’s AI stay up to date with regulations?
When regulations change, our compliance and data science teams work together to fine-tune and validate our AI models with our SME team. 

How does Saifr use AI ethically/responsibly?  

Saifr’s human-centric approach to AI recognizes the need for transparent, explainable, unbiased, and representative systems. There’s a whole team of humans in the loop throughout model development, and the data used to train our SaifrReview and Saifr eComms models is thoroughly reviewed by subject matter experts to help ensure it is ethical and accurate. Learn more in our Responsible AI Principles.   

How does Saifr protect client privacy and maintain security?  

SaifrReview and SaifrScreen are SOC 2 Type 2 certified, which involves an annual, independent audit including testing and validating of security and privacy controls. 

Can Saifr integrate with existing systems?  

Yes, with all our products, Saifr strives to meet customers where they work by integrating into tools they already use and by making all our products available via APIs. 

SaifrReview is offered as an add-in within Microsoft 365 (.docx, .xlsx, .pptx, etc), Google Docs, FIGMA, and PDF, with more being added. Four of SaifrReview’s AI models are available within Microsoft Azure AI Foundry model catalog and an agent is integrated into Microsoft Azure AI Foundry. Saifr also have an integration with Adobe, offering our AI agents within Adobe GenStudio for Performance Marketing for a seamless, in-tool compliance review. 

For SaifrScreen, we have a collaboration with ServiceNow that integrates our AI agents to support adverse media and sanctions monitoring processes within ServiceNow Financial Services Operations (FSO) solution. 

What industries and regions does Saifr serve?  

• SaifrReview is designed for financial institutions and life insurance and annuity providers in the U.S. 

• SaifrScreen helps U.S. and multinational firms, including those in financial services and other industries, with their AML/KYC and Trust & Safety programs. 

• Saifr eComms is designed for financial institutions in the U.S.  

How can I get started with Saifr? 

Request a demo. We’ll start with a conversation about your needs, then show you how we can help.   

Is Saifr owned by Fidelity Investments/Labs?  

Saifr is part of Fidelity Labs, Fidelity Investments’ in-house software incubator. Learn more about Labs.

What is adverse media screening?  

Adverse media screening reviews online and offline sources to uncover information about the data entity that may introduce regulatory and reputational risks to a business. It is important for AML and KYC compliance programs, helping to identify risks related to financial crimes, corruption, fraud, and more. Firms in regulated industries should consider conducting regular checks and monitoring their customer and vendor ecosystems continuously as important aspects of helping to maintain a good reputation and reduce risks related to financial crimes.  

What is unstructured vs. structured data?  

Unstructured data make up 80% of internet data and are active, real-time data that can provide a wealth of information. Structured data represent just 20% of available data and are found in a predefined format in curated databases that have to be manually updated. Incorporating both unstructured and structured data into AML/KYC processes can dramatically improve the breadth and depth of a firm’s coverage. Learn more.  

What is entity resolution?  

Entity resolution is the process of predicting that an entity in unstructured data is the same one being screened. It’s a critical part of adverse media screening procedures. Learn about AI-assisted entity resolution.  

Why do false positives/negatives matter?  

For AML/KYC screening, a false positive is a result that incorrectly indicates the presence of risk. The greater false positives a solution generates, the fewer real risks your team may be surfacing. False negatives are even more dangerous, representing bad actors that have slipped through your defenses. SaifrScreen’s mission is to alert on potential bad actors that may be systematically mistaken for good actors. Learn more.  

What are the AML/KYC/BSA regulations?  

• The purpose of anti-money laundering (AML) rules is to help detect and report suspicious activity, such as the offenses that often precede money laundering and terrorist financing: securities fraud, market manipulation, etc. 

• Know Your Customer (KYC) guidelines prompt financial institutions and businesses to verify the identity and risks associated with customers (current and potential), aiming to uncover suspicious behaviors like money laundering and financial terrorism before they happen. 

• The Bank Secrecy Act (BSA) establishes program, recordkeeping, and reporting requirements for U.S. financial institutions to help government agencies detect and prevent money laundering. 

Why is marketing compliance review necessary? 

Compliance reviews of marketing content help firms ensure their content is fair, balanced, and not misleading.  

What are the FINRA and SEC advertising guidelines?  

FINRA Rule 2210 is the primary rule governing broker dealers’ communications with the public. SEC Investment Adviser Marketing Rule 206-4 (aka the Marketing Rule) is the primary rule governing investment advisors’ communications with the public. This ebook explains more.  

What are the NAIC model laws? 

The National Association of Insurance Commissioners (NAIC) is a group of state insurance commissioners that create and publish Model regulations on issues common to the insurance industry, including advertising.  Many states adopt these Models into their laws.  The Saifr AI model currently incorporates provisions from the Unfair Trade Practices Act (MDL–880), the Advertisements of Life Insurance and Annuities (MDL-570), and the advertising portions of the Annuity Disclosure (MDL-245). 

These Models apply to any communication to the public, including brochures, mailings, social media and web pages. The provisions address a range of advertising issues, including: 

• Required disclosures 

• Truthfulness and Clarity 

• Guaranteed and non-guaranteed features 

• Omission of Material Facts 

• Comparisons 

• Statistical representations 

• Prohibited Language. 

Can Saifr scan videos for compliance risks? 

Yes, Saifr can transcribe videos and scan the text for potentially risky language, marking where in the video the risk is and explaining how it might not be compliant. Plus, Saifr’s transcription tool is familiar with financial terms and will show “401(k)” and “mutual fund plan”—not “four oh one kay” and “mutual fun planned” like some others might. 

How can AI help solve pain points related to complying with advertising regulations?  

Natural language processing (NLP)—a type of AI—can read and understand the context of words and phrases, meaning it can recognize which sentences may violate regulatory guidelines and which disclosures might be needed. It can perform a first pass review more quickly and act as an extra set of expert eyes reviewing content, which can result in a cleaner first draft for compliance review, fewer rounds of review, and faster time to market. 

What is electronic communications surveillance?  

Electronic communications (eComms) surveillance is the process of monitoring the communications that occur on business-approved channels (e.g., email, chat, video conferencing) for potential violations of company policy or regulatory risks.  

Why is archiving electronic communications important?  

The SEC and CFTC require some financial firms to retain and preserve a range of electronic business records (such as certain transaction details, correspondence, and financial documents). These regulations are designed to ensure transparency and accountability to regulators and protection to investors. 

What are the electronic communications regulations for financial firms?  

There are a wide range of regulations that influence electronic communications for financial firms, including those from the SEC and CFTC governing recordkeeping, plus those from FINRA, the CFPB, the OCC, and more pertaining to the content of the communications. 

What are off-channel communications?  

Off-channel communications are conversations that happen outside of business-approved platforms. Since some financial firms can be subject to recordkeeping regulations, communications that aren’t appropriately recorded and record kept can pose a compliance risk. 

Does Saifr have a partnership with Microsoft?  

In November 2024, Saifr announced a collaboration with Microsoft to bring four of Saifr’s compliance models to the Microsoft Azure AI model catalog, including:  

• Retail Marketing Compliance: Detects potential compliance risk in public communications language.  

• Suggested Language: Proposes alternative language that could be more compliant.  

• Risk Interpretation: Provides insights into and rationale for potentially noncompliant language that is detected.  

• Image Detection: Detects potential compliance risk in public communications content imagery.  

Azure customers can easily integrate Saifr into their Azure instances, creating a seamless user experience for clients in the financial industry looking to use generative AI to provide more guardrails and controls around content creation.  

In May 2025, Saifr and Microsoft expanded their integration, bringing a Saifr compliance AI agent to Microsoft Azure AI Foundry. The agent identifies potentially noncompliant text and suggests more compliant, fair, and balanced version, helping end users adhere to relevant communications guidelines and rules from US regulators. Azure customers can integrate Saifr directly into their Azure instances or content generation tools, including any Microsoft 365 E5 products. For example, the Saifr Communication Compliance Agent can be deployed in financially focused chatbots and LLM financial retrieval-augmented generation (RAG) processes.  

Does Saifr have a partnership with Adobe?  

In March 2025, Saifr announced an integration with Adobe GenStudio for Performance Marketing. As a Silver-level partner in the Adobe Technology Partner for Adobe Experience Cloud, Saifr's Retail Marketing Compliance and Suggested Language models can act like a spell-check for compliance of AI-generated content created in the financial services industry, detecting possible risks and suggesting more compliant phrasing that could better align with regulatory agency guidelines and rules such as FINRA 2210 and SEC Modernized Marketing Rule. These models enable users to manage their risk and increase content speed to market. 

Does Saifr have a partnership with ServiceNow?  

In June 2025, Saifr announced it is a ServiceNow Build Partner integrating Saifr's AI agents that support adverse media and sanctions monitoring processes within ServiceNow Financial Services Operations (FSO) solution. With this integration, operations teams can focus on investigating high-quality leads from Saifr in the ServiceNow FSO workflow for seamless, continuous, and more accurate AML and KYC alerts.