Sentinel

Advanced Security & Data Integrity for AI/ML & Data

From data lineage to code vulnerabilities, simplify security without compromising performance

Securing AI and Data

Sentinel is a cutting-edge security and compliance solution designed to identify vulnerabilities and ensure the integrity of AI/ML models and data pipelines. With robust static analysis, advanced data fingerprinting, and drift detection capabilities, Sentinel empowers organizations to proactively secure their workflows, monitor data usage, and safeguard critical assets. Designed for seamless integration into modern software development lifecycles, Sentinel delivers a systematic approach to auditing, compliance, and operational efficiency.

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Data Fingerprinting and Drift Detection

Sentinel’s innovative data fingerprinting and drift detection capabilities allow organizations to track data lineage, validate integrity, and identify deviations in datasets over time. This ensures that your data pipelines and AI/ML models remain reliable, compliant, and optimized for evolving business needs.

Comprehensive Audits for AI Models, Data Integrity, and Compliance Across Cloud and Hybrid Systems

Securing AI and Data with Precision

Use Cases for Sentinel

AI/ML Model Security

Sentinel audits the entire lifecycle of AI/ML projects, ensuring compliance and mitigating risks associated with data leaks, drift, and unauthorized access.

Data Pipeline Integrity

By monitoring and auditing data pipelines, Sentinel helps organizations maintain high data quality, track lineage, and identify unauthorized changes.

Regulatory Compliance

Especially when coupled with our Enclave solution, Sentinel simplifies adherence to industry regulations, including GDPR, HIPAA, and CCPA, by identifying security gaps and ensuring privacy compliance across workflows.

Cloud and Hybrid Environments

Secure and monitor cloud-native and hybrid deployments with Sentinel’s extensive auditing capabilities, ensuring environments remain secure and scalable.

Why Choose Sentinel?

Proactive Risk Management

Sentinel identifies potential vulnerabilities before they can escalate into threats, ensuring proactive security.

Enhanced Data Security

Advanced data fingerprinting and drift detection protect the integrity and reliability of your data.

Compliance at Scale

Ensure adherence to industry standards and regulations while maintaining operational efficiency.

Tailored Flexibility

Fully configurable to suit diverse project needs, Sentinel integrates seamlessly into existing workflows.

Redefining Security in AI & Data

Sentinel delivers a comprehensive suite of features designed to enhance security, streamline compliance, and ensure data integrity. With advanced tools for static analysis, drift detection, and data fingerprinting, Sentinel empowers organizations to maintain secure, scalable, and compliant workflows across AI/ML pipelines and data-driven applications.

Comprehensive Code Security Analysis

Sentinel performs multi-layered static analysis to identify vulnerabilities in source code and libraries. From detecting encryption misconfigurations to identifying obfuscation patterns, Sentinel ensures that your applications are secure by design.

Data Fingerprinting for Lineage and Integrity

Sentinel introduces data fingerprinting to track and validate data lineage across AI/ML and data pipelines. This feature allows teams to monitor changes in datasets, ensuring data integrity and accountability throughout the lifecycle.

Drift Detection for AI/ML Models

Sentinel actively monitors AI/ML workflows for data and concept drift. This ensures that models remain accurate, consistent, and aligned with the intended use cases, minimizing risks from evolving datasets or external influences.

Dependency and Configuration Auditing

By scanning dependencies and configuration files, Sentinel detects vulnerabilities and misconfigurations that could compromise system security. It identifies hardcoded secrets, insecure endpoints, and other common risks in YAML, JSON, and similar files.

Network Activity Monitoring

Sentinel flags potentially unsafe network activities, such as hardcoded IPs or unauthorized connections, to mitigate risks of data exfiltration and unauthorized access. This provides a strong layer of defense against potential threats in production environments.

Standards-Aligned Auditing

Sentinel's security analysis aligns with OWASP, IEEE, and other industry standards, delivering actionable insights into vulnerabilities and ensuring adherence to regulatory requirements.

Enhancing AI and Data Security

Sentinel has been pivotal in securing AI and data operations for clients across diverse industries, addressing unique challenges with tailored auditing and compliance solutions. Whether protecting sensitive financial transactions or safeguarding customer data in dynamic environments, Sentinel ensures that organizations operate with confidence in their data security and AI integrity.

Hospitality

Personalization and Recommendations: Audit LLM-driven recommendation systems to identify potential data biases, ensure compliance with data security protocols, and maintain data integrity.

Data Exfiltration Prevention: Monitor customer data flows and interactions with AI models to prevent data leakage during sensitive transactions or personalized promotions.

Security of Payment Systems: Conduct static code analysis for AI components interacting with payment gateways to identify vulnerabilities or potential security breaches.

Banking

Fraud Detection Auditing: Sentinel can audit and monitor LLM models used in fraud detection systems, ensuring data privacy and security compliance while preventing data leakage.

Regulatory Compliance: Perform continuous audits of sensitive data interactions and model behaviors to ensure adherence to strict banking regulations such as GDPR and PCI-DSS.

Customer Data Protection: Conduct data fingerprinting and drift detection to maintain the integrity of sensitive customer data and prevent unauthorized data access or exfiltration.

Transform Your Data Strategy

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