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# Ardion: Ardion is a professional AI governance platform for mid-sized and large enterprises that ensures AI tools are used ethically, transparently, and in alignment with organizational values and regulatory requirements. It provides real-time AI monitoring, data protection, and safeguards for sensitive information.

## Sitemaps
[XML Sitemap](https://ardion.io/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [Zero trust](https://ardion.io/terminology/zero-trust/): Zero trust is a cybersecurity model that assumes no user or device, inside or outside the organization's network, should be automatically trusted. Instead, every access request is verified, authenticated, and authorized before being granted. In this article, you'll see how both NIS2 and NIST touch on zero trust principles, but differ in how prescriptive or flexible they are about implementing them. This will help clarify which framework better supports your move to a zero trust architecture.
- [NIS2 checklist](https://ardion.io/blog/nis2-checklist/): Here you can read about the NIS2 checklist, including what you need to know, who must comply, the purpose of NIS2, and how it affects your organization.
- [NIS2 supply chain security](https://ardion.io/blog/nis2-supply-chain-security/): In this article, you can read about NIS2 supply chain security, including its impact on third-party vendors, steps to enhance compliance, and the key NIS2 requirements for supplier risk assessment.
- [Best NIS2 software](https://ardion.io/blog/best-nis2-software/): In this article, you'll learn what the best NIS2 software is, how NIS2 software boosts cybersecurity, the key features to look for, and how you can implement NIS2 software in your organization.
- [NIS2 vs NIST (2.0)](https://ardion.io/blog/nis2-vs-nist/): In this article, you will learn the key differences between the NIS2 Directive and the NIST Cybersecurity Framework, including their scope, legal status, requirements, and implementation approaches.
- [Access control](https://ardion.io/terminology/access-control/): Access control is a security technique used to regulate who can view or use resources in a computing environment. It involves setting permissions and policies to allow or deny access to data, networks, or physical locations. Effective access control helps protect sensitive information and reduces the risk of unauthorized activities.
- [NIS2 sectors](https://ardion.io/blog/nis2-sectors/): In this article, you can read what NIS2 sectors are, who must comply with NIS2, the main NIS2 requirements explained, and how NIS2 improves cybersecurity.
- [NIS2 timeline](https://ardion.io/blog/nis2-timeline/): In this article, you can read about the NIS2 timeline, who must comply with NIS2, key requirements for organizations, and how NIS2 impacts overall cybersecurity strategy.
- [Vulnerability management](https://ardion.io/terminology/vulnerability-management/): Vulnerability management is the process an organization uses to identify, assess, prioritize, and remediate security weaknesses in its IT systems. This continuous cycle involves regular scanning for vulnerabilities, evaluating their potential impact, and applying patches or fixes. Effective vulnerability management helps reduce the risk of security breaches by addressing flaws before attackers can exploit them. It is a key component of a strong cybersecurity strategy.
- [Differences ISO 27001 and NIS2](https://ardion.io/blog/iso-27001-vs-nis2/): In this article you'll discover the key differences, overlaps, and practical steps for aligning ISO 27001 with NIS2 compliance to reduce gaps and streamline your cybersecurity strategy.
- [Supply chain security](https://ardion.io/terminology/supply-chain-security/): Supply chain security refers to the measures and processes organizations use to protect their products, information, and operations from threats and disruptions throughout the supply chain. This includes monitoring suppliers, managing risks, and ensuring secure transport and storage. Effective supply chain security helps prevent fraud, theft, and cyberattacks, safeguarding the delivery of goods and services.
- [What is the NIS2 directive?](https://ardion.io/blog/nis2-directive/): The NIS2 directive refers to the European Union's updated Network and Information Security directive (NIS2), which sets stricter cybersecurity rules for essential and important entities to strengthen overall digital resilience in member states.
- [Incident response plan](https://ardion.io/terminology/incident-response-plan/): An incident response plan (IRP) is a set of instructions outlining how an organization detects, responds to, and recovers from security incidents like data breaches or cyberattacks. The IRP defines roles, responsibilities, and step-by-step actions for staff during an incident. Having a clear incident response plan helps reduce damage, speed up recovery, and ensure compliance with legal or regulatory requirements.
- [Security awareness](https://ardion.io/terminology/security-awareness/): Security awareness is the understanding and knowledge employees need to recognize and respond to potential threats like phishing, social engineering, or data breaches. Regular security awareness training helps staff identify suspicious activity and follow best practices to protect company information. Effective security awareness reduces the risk of human error leading to security incidents.
- [Differences ISO 27001 and ISO 27002](https://ardion.io/blog/iso-27001-vs-iso-27002/): In this article, you will learn the key differences between ISO 27001 and ISO 27002, including how ISO 27001 provides the framework and requirements for an information security management system while ISO 27002 offers detailed guidance.
- [ISO 27001 Annex A](https://ardion.io/blog/iso-27001-annex-a/): In this article, you will learn what ISO 27001 Annex A is and how it is structured, including the key controls it outlines.
- [ISO 27001 certification checklist](https://ardion.io/guides/iso-27001-certification-checklist/): This guide helps you prepare for ISO 27001 certification in a practical and structured way. It provides a clear roadmap for setting up, managing and improving an Information Security Management System across your organization.
- [ISO 27001 checklist](https://ardion.io/blog/iso-27001-checklist/): Learn what an ISO 27001 checklist is, which key elements it should include, and how to use it effectively to prepare for certification and maintain compliance.
- [ISO 27001 costs](https://ardion.io/blog/iso-27001-costs/): In this article, you'll learn what ISO 27001 implementation and certification typically cost and which factors (like company size, scope, and existing controls) most influence the total price
- [Information security policy](https://ardion.io/terminology/information-security-policy/): An information security policy (ISP) outlines how an organization manages and safeguards its sensitive information. The ISP sets expectations for employee behavior and details how to handle data securely. By implementing a strong information security policy, organizations can reduce risks and protect against unauthorized access.
- [Security controls](https://ardion.io/terminology/security-controls/): Security controls are safeguards used to protect systems, data, and people from threats. They can be preventive, detective, or corrective, and may include technical tools, policies, and physical measures. Common security controls include access control, encryption, logging and monitoring, and security training.
- [ISMS meaning](https://ardion.io/terminology/what-is-isms/): An Information Security Management System (ISMS) is a structured framework for managing and protecting an organization’s information. It includes policies, processes, and controls to reduce security risks and keep data confidential, accurate, and available. ISMS is commonly associated with the ISO/IEC 27001 standard for information security.
- [Best ISO 27001 software](https://ardion.io/blog/best-iso-27001-software/): In this article, you will learn which ISO 27001 software solutions are considered the best and which features to look for when choosing one. You will also discover how such software can make your compliance processes more efficient and effective.
- [Statement of Applicability](https://ardion.io/terminology/statement-of-applicability/): A Statement of Applicability (SOA) is a document used in information security to list which controls apply to an organization and why. It typically maps selected controls to risks, explains any exclusions, and shows how each control is implemented. The SOA is most commonly associated with ISO/IEC 27001 compliance and helps demonstrate a clear, auditable security posture.
- [Differences ISO 27001 and SOC 2](https://ardion.io/blog/iso-27001-vs-soc-2/): In this article, you will learn the key differences between ISO 27001 and SOC 2, including their scopes, recognition, and certification processes.
- [ISO27001 meaning](https://ardion.io/blog/what-is-iso-27001/): In this article you'll learn about ISO 27001. It's an international standard for managing information security through an Information Security Management System (ISMS).
- [Security software for AI](https://ardion.io/blog/security-software-ai/): Security software for AI is a set of tools that protects artificial intelligence (AI) systems from threats like data poisoning, model theft, prompt injection, and unauthorized access.
- [Guardrails for AI](https://ardion.io/terminology/ai-guardrails/): Guardrails for Artificial Intelligence (AI) are rules, tools, and processes that keep AI systems safe, reliable, and aligned with human goals. They help prevent issues like biased outputs, privacy leaks, harmful advice, or misuse. Common guardrails include data governance, content filtering, human review, and continuous monitoring after deployment.
- [Using AI safely in the workplace](https://ardion.io/guides/using-ai-safely-workplace/): This guide helps you create an AI policy that is practical, structured, and ready to implement. It provides clear guidance for responsible and consistent AI use across your organization.
- [AI firewall](https://ardion.io/terminology/ai-firewall/): An AI firewall is a security system that uses artificial intelligence (AI) to detect and block cyber threats in real time. Unlike traditional firewalls that rely on fixed rules, it learns patterns of normal behavior and flags unusual activity. This helps stop attacks like malware, phishing, and suspicious network traffic more quickly and accurately.
- [Securing Artificial Intelligence (AI)](https://ardion.io/blog/securing-ai/): In this article, you will learn why AI security has become increasingly important, the biggest risks associated with AI systems, and the key ways organizations can protect them.
- [Human in the loop](https://ardion.io/terminology/human-in-the-loop/): Human in the loop (HITL) is an approach where a person actively helps guide, review, or correct an automated system, especially in artificial intelligence (AI). It’s used to improve accuracy, reduce harmful mistakes, and handle edge cases that machines struggle with. Common examples include humans labeling training data, approving model outputs, or intervening when the system is uncertain.
- [AI compliance](https://ardion.io/terminology/ai-compliance/): AI compliance is the process of ensuring artificial intelligence (AI) systems follow relevant laws, regulations, and internal policies. It typically covers areas like data privacy, security, transparency, fairness, and accountability across the AI lifecycle. Strong AI compliance helps reduce legal risk, prevent harm, and build trust with customers and regulators.
- [Human on the loop](https://ardion.io/terminology/human-on-the-loop/): Human on the loop (HOTL) is an approach where a person stays involved in an automated or artificial intelligence (AI) process to review, approve, or correct decisions. It’s used to improve accuracy, reduce risk, and handle edge cases that automation might miss. HOTL is common in areas like content moderation, medical diagnosis support, and fraud detection where oversight matters.
- [Generative AI](https://ardion.io/terminology/generative-ai/): Generative Artificial Intelligence (Generative AI) refers to AI systems that can create new content such as text, images, audio, or code. It works by learning patterns from large datasets and then generating outputs that resemble what it has learned. Generative AI is used in tools like chatbots, image generators, and coding assistants to speed up work and support creativity.
- [Large Language Model (LLM)](https://ardion.io/terminology/large-language-model/): A Large Language Model (LLM) is an artificial intelligence system trained on massive amounts of text to understand and generate human-like language. It can answer questions, write content, summarize information, and help with tasks like translation or coding. An LLM works by predicting the most likely next words based on patterns it learned during training.
- [Local government AI policy](https://ardion.io/blog/local-government-ai-policy/): AI is becoming part of everyday work in municipalities, making clear agreements about its use essential. This article provides examples and practical tips to help municipalities develop a usable AI policy.
- [AI policy examples](https://ardion.io/blog/ai-policy-examples/): In this article, you’ll learn how to create a practical and effective AI policy. We’ll cover why AI policies matter, what makes them challenging to create, and which key components every strong policy should include.
- [Practical guide AI policy](https://ardion.io/guides/practical-guide-ai-policies/): This guide helps you create an AI policy that is practical, structured, and ready to implement. It provides clear guidance for responsible and consistent AI use across your organization.
- [The impact of AI on job deskilling](https://ardion.io/blog/ai-job-deskilling/): In this article, you will learn how AI can lead to job deskilling by automating tasks and changing the skills needed in the workplace.
- [Generative AI under the AI Act](https://ardion.io/blog/ai-act-generative-ai/): In this article, you will learn how the AI Act defines generative AI and which specific regulations apply to its use and development.
- [Shadow AI](https://ardion.io/terminology/shadow-ai/): Shadow AI refers to the use of AI tools and applications within an organization without official approval or oversight.Shadow AI is related to the term shadow IT. Shadow IT is the broader category that includes any unauthorized technologies or software used within an organization.
- [What is unacceptable risk under AI act](https://ardion.io/blog/ai-act-unacceptable-risk/): In this article, you will learn how the AI Act defines "unacceptable risk" and which AI systems fall into this category. You will also discover examples of AI that is completely prohibited under the Act.
- [The risks of PII in AI](https://ardion.io/blog/pii-in-ai/): In this article, you will learn about the risks associated with handling personally identifiable information (PII) in AI systems and how exposure of this data can lead to privacy breaches and security vulnerabilities.
- [Pros and cons of AI in workplace](https://ardion.io/blog/pros-cons-ai-workplace/): In this article, you learn about the main advantages and disadvantages of using AI in the workplace, such as increased productivity and possible job displacement and safety risks.
- [What is high risk in AI act?](https://ardion.io/blog/ai-act-high-risk/): In this article, you will learn how the AI Act defines "high risk" activities and what types of AI systems fall under this category.
- [A guide to AI safety](https://ardion.io/blog/ai-safety/): In this article, you will learn what AI safety means, why it matters, and the main risks and concerns associated with artificial intelligence.
- [Prompt injection](https://ardion.io/terminology/prompt-injection/): Prompt injection is a type of attack where someone gives malicious or misleading instructions to an AI system to make it behave in unintended ways. It works by “injecting” hidden or deceptive commands into text, code, or data that the AI processes, tricking it into ignoring its normal rules or revealing sensitive information.
- [AI hallucination](https://ardion.io/terminology/ai-hallucination/): AI hallucination occurs when an AI system generates false or misleading information that appears plausible but is incorrect or fabricated.
- [Safe AI use in finance](https://ardion.io/blog/safe-ai-finance/): In this article, you will learn about the risks of using AI in finance and how financial institutions can implement it safely. You’ll also discover the benefits that safe AI use can bring to the finance sector.

## Categories
- [Blog](https://ardion.io/blog/)
- [Guides](https://ardion.io/guides/)
- [Terminology](https://ardion.io/terminology/)

Ardion is a professional AI governance platform for mid-sized and large enterprises that ensures AI tools are used ethically, transparently, and in alignment with organizational values and regulatory requirements. It provides real-time AI monitoring, data protection, and safeguards for sensitive information.