Securing AI

70% of organizations see security as the biggest AI challenge.

Accorian’s AI Security delivers expert advisory, strategic guidance, and tailored assessments to address emerging threats, compliance gaps, and operational risks, ensuring responsible and secure AI deployment across in-house models, third-party AI tools, and open-source LLMs. Leveraging GORICO, our AI-enabled platform, we deliver structured risk visibility, centralized control mapping, and a streamlined approach to managing AI risk and compliance.

Why Do You Need AI Security & Compliance

AI introduces risks beyond traditional IT, as systems continuously learn, process sensitive data, and make opaque decisions. Without strong security and compliance controls, organizations face increased exposure to breaches, regulatory penalties, and reputational risk, making proactive AI risk management essential.

Importance of Securing AI

  • Protection Against Sophisticated AI-Targeted Attacks
  • Regulatory Compliance in an Evolving Landscape
  • The Security of Certification

How GORICO Accelerates Your Securing AI Journey

GORICO, with its AI-enabled capabilities, streamlines the Securing AI process by centralizing control documentation, automating evidence collection, and enabling structured workflows across stakeholders while reducing manual effort, accelerating reporting, and strengthening overall control governance, making Securing AI examinations more predictable and efficient.

Smarter GRC. Faster Outcomes.

FRAMEWORKS

10 +

Evidence Reusability

10 %

INTEGRATIONS

5 +

Hours SAVED

10 +
GORICO Dashboard

Trusted By Leading Clients

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The Accorian team quickly understood the complex risks around data exposure, privilege escalation, and multi-tenancy in our AI-driven product. Their approach wasn’t generic, they asked the right questions and delivered AI chatbot penetration testing that pushed our guardrails to the limit. Thanks to their work, we’ve significantly strengthened our security posture and feel more confident scaling in a rapidly evolving threat environment.

– Andy Sen, Co-Founder / CTO at Precanto

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IMM started working with Accorian team few years ago to perform a Pen testing for our application and cloud infrastructure. Accorian team has done a great job in working with our engineering team to safeguard IMM’s application. Our collaborative work has yielded in additional product pen tests and now part of our DeVops process. Great Job Accorian team and happy to have you as our trusted 3rd party security team.

– Nish Shah, CTO at IMM

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We engaged with Accorian to streamline our security environment and safeguard us from long-term threats in an evolving cybersecurity landscape. Their sole focus was to ensure the breadth and depth of our systems were protected.

– Jatin Mehta, Head of Engineering at Openroad Media

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I have handled a few pen test engagements over the last few years and this was the best overall experience. Ashritha and her team genuinely care about the security of their clients, and ensure no stone is left unturned.

– Zalman M, Security Manager at FinTech Co.

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Our experience of working with Accorian was extremely positive. They quickly grasped the scale of our systems, project managed with clear deliverables, over communicated and ensured all our deadlines were met. The professionalism of the service provided was wonderful. I highly recommend Accorian to anyone in the future for business critical security needs.

– Rajib Ahmed, CTO at Meetup

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Key Services

The Accorian Approach

Comprehensive and Holistic Approach
01
  1. Holistic AI Evaluation Framework: Comprehensive assessments of third-party AI solutions and LLMs across the lifecycle, delivering end-to-end visibility into AI security posture.
  2. Multi-Framework Compliance Mapping: Alignment with leading AI frameworks, including HITRUST AI, ISO/IEC 42001, and the EU AI Act, to support evolving regulatory requirements.
In-Depth AI Risk Evaluation Process
02
  1. Stakeholder Interviews: Structured discussions with cross-functional teams to identify gaps across AI development, deployment, and oversight.
  2. Technical Evidence Validation: Review of documentation, datasets, evaluation logs, and bias controls to verify effectiveness of safeguards and monitoring.
  3. AI Governance Audit: Assessment of governance structures, risk management practices, accountability frameworks, incident readiness, and third-party oversight.
Actionable Insights and Remediation Support
03
  1. Detailed AI Risk Posture Report: This final stage delivers an in-depth report outlining security and compliance scores, domain-specific risk ratings in areas such as data security, model security, and algorithmic fairness.
  2. Prioritized Remediation Advisory & Recommendations: Structured, prioritized remediation roadmap accompanied by expert advisory to enhance organizational AI security and align with best practices.

We have just published our

AI Vulnerability Report

AI Chatbot & LLM Security

Risks of Unsecured AI Systems

Multi Compliance Framework identify

Data Leakage from AI Systems

AI models require large volumes of data. This could include your IP, sensitive data, client information etc. Without strong encryption, access controls, and secure processing, these systems expose critical business or customer information to breaches.

Multi Compliance Framework Performance gap

Embedded Bias in AI Decision-Making

Poorly trained or unmonitored models reinforce societal biases, leading to unfair or discriminatory outcomes, posing legal, ethical, and reputational risks.

Multi Compliance Framework Create unifed

Security Vulnerabilities in Third-Party Vendor Systems

AI tools rely on complex supply chains involving third-party datasets, cloud services, and open-source code. Each component introduces potential attack vectors that must be independently validated.

Regulatory Non-Compliance and Oversight Gaps

With AI-specific regulations evolving globally, organizations face increasing pressure to meet transparency, accountability, and auditability requirements. Failing to do so results in penalties or loss of stakeholder trust.

Access Our AI Certification Brochure

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The Ideal AI Security Framework For You Hook

Ideal AI Security Framework Brochure

Get Started With Accorian

Accorian differentiates itself by its in-depth knowledge of AI’s distinct security and regulatory challenges, providing niche services that go beyond conventional cybersecurity models. Our end-to-end approach rigorously assesses the full AI lifecycle, utilizing top-tier governance frameworks to ensure comprehensive compliance with evolving international regulations. By delivering rich, actionable insights and continuous remediation support, Accorian enables organizations to actively monitor and manage AI-specific risks, drive algorithmic fairness, and safeguard against advanced AI-targeted attacks, ultimately providing a secure and compliant AI journey.

Global Clients
10 +
Vulnerabilities Detected
1000 +
Assessments and Audits
10 +
Pentesting Engagements
10 +
Security Experts
10 +

Accorian’s
AI Experts

Accorian’s AI Experts

Our team includes experienced security professionals and specialists in AI risk management. Their combined expertise ensures your organization receives top-tier guidance and support in navigating the complexities of AI security and compliance.

Frequently Asked Questions (FAQs)

Q. What does “Securing AI” mean?

A. Securing AI refers to protecting AI systems, models, and data against risks such as adversarial attacks, data leakage, and compliance failures, ensuring responsible and trustworthy AI deployment.

A. With generative AI adoption accelerating, organizations face new risks around data privacy, regulatory compliance, and model manipulation, making AI security essential to protect both business value and reputation.

A. Key risks include data poisoning, adversarial inputs, leakage of sensitive information, lack of governance, and gaps in compliance with AI-focused standards and regulations.

A. Accorian provides AI risk assessments, penetration testing for AI models, compliance alignment (e.g., NIST AI RMF, ISO 42001), and governance frameworks that ensure AI is secure, ethical, and regulation-ready.

A. Sectors like healthcare, finance, SaaS, and government gain significant value by protecting AI systems that handle sensitive data, regulated processes, or mission-critical operations.