Ai security

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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Ai Security

How We Ensure AI Security

Continuous Compliance
Policies & Documents
Controls
Trustworthy AI Agentic Experience

Continuous Compliance

  • SOC2 Type II
  • CCPA

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, 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.

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