Drive Competitive Advantage in Your Industry with AI Security and Compliance Pre-Packaged Solutions
When it comes to protecting AI applications in production, our customers always ask the same question: “Do you have an out-of-the-box security and compliance solution for our industry that we can easily implement?”
And the answer is a resounding yes.
Regulatory compliance as well as protection from bias, data privacy and adversarial attacks are significant challenges when deploying Gen AI applications.
Enkrypt AI provides pre-packaged, industry-specific solutions to ensure reliable, compliant, and ethical AI use. Read the examples below on how industries like Life Sciences, Finance, and Insurance are using our tailored solutions to realize a quick time-to-value on AI security and compliance.
Life Sciences – Healthcare Use Case
When working with our life sciences customers, we found that the biggest hurdle they faced when deploying cutting-edge technology was getting legal / compliance team approval. These teams block AI applications from going live due to the plethora of AI security and compliance challenges like the ones listed below.
Challenges
- Regulatory Compliance: Adhering to HIPAA standards for data privacy and the FDA’s stringent guidelines for medical AI solutions.
- Ethical Boundaries: Generative AI applications must avoid directly providing medical advice to patients.
- Data security: Preventing unwanted access to private data, such as PHI (Protected Health Information).
- Safety and Bias Considerations: Making sure generative AI systems are impartial and secure, particularly when applied in crucial fields like diagnostics.
How Enkrypt AI Solves Challenges for Life Sciences Industry
- Saves time and effort with ready-to-use datasets tailored for healthcare-specific adversarial testing.
- Ensures ethical and regulatory compliance, protecting your brand and patient trust.
- Safeguards sensitive patient information with automatic detection and anonymization for privacy law compliance.
- Promotes fair and equitable AI decisions by addressing disparities in diagnostic or treatment recommendations.
- Increases patient safety by ensuring AI-generated outputs are factual and trustworthy.
Enkrypt AI equips Life Science companies with pre-packaged solutions that include automated red teaming, robust testing, and advanced monitoring tools. The platform ensures healthcare applications operate within regulatory and ethical boundaries while prioritizing patient safety. See Figure 1 below.
Finance – General Industry
As one of the most regulated industries in the world, financial enterprises face huge hurdles when deploying AI applications. Here are just a few challenges that plague the market.
Challenges
- Compliance: Adherence to the rules and guidelines established by the CCPA, SEC, FINRA, PCI-DSS, and GDPR.
- Data protection: Safeguarding sensitive financial data, including account details and credit card numbers.
- Bias in Financial Advice: Recognizing bias in investment recommendations, loan approvals, and risk assessments. This includes racial, gender, and socioeconomic biases.
How Enkrypt AI Solves Challenges for Financial Enterprises
- Secures AI systems by stress testing for investment, credit, and risk scenarios with tailored datasets.
- Ensures AI adheres to regulatory standards for ethical financial practices with pre-configured policies.
- Detects and removes biases in financial decisions like loan approvals and credit scores.
- Ensures the factual accuracy of financial predictions and advice with our Guardrails.
- Creates reliable AI systems by testing for prompt variations and adversarial queries.
Enkrypt AI equips financial institutions with the pre-packaged solutions needed to maintain regulatory compliance, protect customer data, and deliver unbiased, accurate financial advice, as shown in Figure 2 below.
Finance – Tax Use Case
One of our financial customers successfully scaled their tax preparation services through the safe and secure implementation of an AI-enabled tax chatbot. By using Enkrypt AI, they significantly enhanced customer engagement and operational efficiency by overcoming the challenges below.
Challenges
- Regulatory Adherence: Compliance with IRS regulations, GDPR, and CCPA to protect taxpayer data.
- Accuracy: Preventing errors in tax calculations or advisory outputs.
- Fraud Prevention: Identifying and mitigating fraudulent activities in tax preparation and compliance.
- Bias in Tax Guidance: Avoiding discriminatory outcomes in tax advice, especially for underrepresented groups.
How Enkrypt AI Solves Challenges for Financial / Tax Services Use Case
- Simulates adversarial scenarios involving tax loopholes, fraudulent deductions, and compliance challenges to test AI robustness.
- Ensures adherence to IRS guidelines and other legal requirements with our pre-configured policies
- Detects and anonymizes sensitive taxpayer information, such as Social Security Numbers and income data.
- Assesses and corrects biases in tax recommendations that could unfairly impact certain demographics.
- Prevents manipulation of tax advisory AI systems by adversarial actors.
Enkrypt AI equips financial institutions with the pre-packaged solutions needed to provide the necessary testing frameworks and guardrails to ensure accuracy, compliance, and reliability for generative AI applications. See tax use case below in Figure 3.
Insurance
A large insurance agency uses Enkrypt AI to ensure the security and compliance of their internal AI applications. All six of their AI use cases were initially blocked from going live by their compliance team until we were able to help them overcome the challenges below.
Challenges
- Regulatory Compliance: Adherence to HIPAA (for health insurance), GDPR, and state-specific insurance laws.
- Bias in Underwriting: Preventing biases in premium calculations and claim approvals.
- Fraud Prevention: Identifying fraudulent claims and protecting sensitive policyholder data.
- Transparency: Ensuring explainability in premium pricing and claim decisions.
How Enkrypt AI Solves Challenges for the Insurance Industry
- Creates safe and robust AI applications by testing for adversarial scenarios.
- Ensures compliance with pre-configured federal and state insurance regulations.
- Protects sensitive customer data, ensuring compliance with data privacy laws.
- Creates fair and ethical AI systems by removing bias in underwriting and claim approvals.
- Ensures transparency into premium pricing and claim decision-making processes.
With Enkrypt AI’s robust platform, insurance companies can ensure fairness, transparency, and compliance in their AI-powered systems with our pre-packaged solution as shown in Figure 4 below.
Compliance Frameworks: Global Compliance Regulations
Get automated compliance readiness for the latest standards including NIST, OWASP Top 10, MITRE ATLAS, and EU AI Act.
For any AI application, Enkrypt AI provides automated compliance readiness dashboards and reports for any regulatory framework. No work. Just results. See Figure 5 below.
Conclusion
Enkrypt AI’s security and compliance platform provides:
- Adversarial Testing Frameworks: Industry-agnostic datasets (i.e. automated prompts) to identify vulnerabilities in AI systems.
- Policy Frameworks: Adaptable compliance policies for any industry application like IRS Guidelines for Tax Industry or FDA Guidelines for Medical AI applications.
- PII Detectors: Tools to safeguard sensitive data across various domains.
- Bias Detection and Fairness Testing: Industry agnostic datasets (i.e. automated prompts) to assess and mitigate biases.
- Explainability and Transparency Solutions: Build trust by ensuring AI recommendations are understandable and auditable.
Enkrypt AI provides industry-specific prompts, tailored guardrails, and advanced testing frameworks to ensure fair, reliable and compliant Gen AI applications. With a focus on regulatory adherence, ethical AI practices, and robust security measures, Enkrypt AI empowers organizations to harness the power of AI securely.
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