What is AI Security?

AI Security is a comprehensive set of measures aimed at ensuring the security and protection of all aspects related to artificial intelligence. It covers data protection, compliance with regulatory standards, and transparency of AI algorithms. We strive to create a platform that combines high security standards with ethics.

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How We Ensure AI Security

Continuous Compliance

SOC2 Type II
CCPA
ISO 42001
NIST AI RMF

Policies & Documents

Controls

Production Data Use is restricted
Change Management Policy
DevOps Security
Post Release Security Certification
Segregated Environments
Business Continuity Plan and Disaster Recovery Testing
Frequent Internal and External Penetration Testing
Defined Roles and Responsibilities
Unified Cybersecurity Platform and Enterprise Grade Security
Data Encryption at Rest and in Transition
Risk Assessments
In-house and Outsourced Vendor Risk Management
Whistleblower Program
Bug Bounty Program
Principal of Least Privileged Access
Red Team and Blue Team Testing

Trustworthy AI Agentic Experience

Explainable AI Experience
Socially Responsible AI algorithms
Security and Compliance Centric Approach
Reduces hallucination risk by using sub- agents with task-specific workflows, ensuring they retrieve only the necessary information within defined parameters
LLM Agnostics platform which requires human in the loop for end-decisions minimizes bias in the process.

Why Financial Institutions Should Trust Our Platform

Our platform adheres to top security standards like SOC 2 Type 2 and CCPA, with ISO 42001 and NIST AI RMF certification by 04/01/2025. We prioritize explainable AI, social responsibility, and address issues like bias. With strict data policies, encryption, and regular security testing, we ensure data security and compliance. Our ethical AI approach builds trust, ensuring financial institutions can rely on us.