privileged access management

Strengthening Identity and Access Management in Insurance Companies: Navigating VAIT Compliance

In an era where digital transformation is reshaping the insurance industry, the significance of robust Identity and Access Management (IAM) systems cannot be overstated. Insurance companies are increasingly reliant on vast amounts of sensitive data, necessitating stringent security measures to protect against cyber threats and unauthorized access. The introduction of the German Federal Financial Supervisory Authority’s (BaFin) Requirements for IT in Insurance Undertakings (VAIT) has added a layer of regulatory compliance that insurance companies must navigate diligently. VAIT provides a comprehensive framework aimed at ensuring the integrity, availability, and confidentiality of IT systems and data within the insurance sector. It underscores the critical need for insurance companies to implement effective IAM strategies to manage and control access to their information systems. This article delves into the six central components of authorization management for insurance companies in the context of VAIT, exploring how these elements contribute to a robust security posture and regulatory adherence. These components include access control policies, role-based access control, recertification, SoD, IAM Tools and PAM. Understanding and implementing these solutions effectively is vital for insurance companies to protect their digital assets and ensure they meet VAIT’s stringent requirements. Essential Components of Authorization Management for Insurance Companies The implementation of the special requirements for insurance companies in the context of VAIT demands a targeted identification of the relevant components of authorisation management. Central compliance principles – such as the minimum authority principle – must always be taken into account when designing successful authorisation management. The components described below are crucial for full compliance with VAIT. 1. Access Control Policies Access control policies are the foundation of authorization management. These policies define who has access to what resources within an organization, based on their role and responsibilities. Key aspects include: To be VAIT compliant, insurance companies must establish and enforce these policies to prevent unauthorized access to sensitive information. 2. Role-Based Access Control (RBAC) Role-Based Access Control (RBAC) is another fundamental component of authorization management for insurance companies, essential for compliance with VAIT. RBAC streamlines the assignment of access rights by categorizing employees into roles based on their job functions and responsibilities, ensuring that each role has predefined access permissions. This approach simplifies access management, enhances security, and ensures that employees only have access to the information necessary for their roles. By implementing RBAC, insurance companies can effectively enforce the principle of least privilege, reduce the risk of unauthorized access, and maintain a clear audit trail of access permissions, all of which are critical for VAIT compliance. 3. Recertification Recertification involves the periodic review and validation of users‘ access rights to ensure they remain appropriate and necessary. This process is essential for maintaining compliance, enhancing security, and minimizing the risk of unauthorized access to sensitive data. 4. Segregation of Duties (SoD) Segregation of Duties (SoD) is a core component of authorization management for insurance companies, especially under VAIT. SoD involves dividing tasks and access privileges among multiple individuals to prevent any single person from having control over all aspects of a critical process, thereby reducing the risk of fraud and errors. This practice ensures that no single employee can execute and authorize transactions independently, which enhances internal controls and mitigates the potential for conflicts of interest. Implementing SoD effectively helps insurance companies comply with VAIT by ensuring robust access controls and accountability, thereby safeguarding sensitive data and maintaining operational integrity. 5. Identity and Access Management Tools Identity and Access Management (IAM) tools facilitate the automation and enforcement of access control policies, streamline the processes of user provisioning and de-provisioning, and support robust authentication mechanisms like multi-factor authentication (MFA). By integrating IAM tools, insurance companies can efficiently manage and monitor access rights, ensure compliance with regulatory mandates, and enhance overall security. IAM tools also provide detailed audit logs and reporting capabilities, enabling continuous oversight and regular audits required by VAIT, thereby safeguarding sensitive data and maintaining operational integrity. 6. Privileged Access Management Privileged Access Management (PAM) ensures the security and oversight of highly sensitive accounts with elevated access privileges. PAM solutions control, monitor, and audit the activities of privileged users, who have access to critical systems and data, thereby mitigating the risk of insider threats and unauthorized access. Implementing PAM helps insurance companies enforce the principle of least privilege, providing granular access controls and ensuring that privileged access is granted only when necessary and appropriately monitored. By leveraging PAM, insurance companies can enhance their security posture, comply with stringent regulatory requirements, and protect their most sensitive information and systems. Challenges and Best Practices Implementing an effective IAM strategy in compliance with VAIT poses several challenges, including the complexity of integrating IAM solutions with existing systems, managing the lifecycle of identities, and ensuring continuous monitoring and adaptation to evolving threats. However, adopting best practices such as leveraging advanced technologies (AI for behavioral analytics), automating IAM processes, and engaging in continuous improvement can help insurance companies overcome these challenges. In conclusion, meeting the special regulatory requirements for IAM under VAIT is essential for insurance companies to protect their IT infrastructure and data assets. By implementing robust IAM policies and systems, insurance companies can not only achieve regulatory compliance, but also enhance their overall cybersecurity posture, safeguarding their operations and customer trust in an increasingly digital world.

Measures to protect privileged accounts with Privileged Account Management

Cybercrime has become the most prevalent criminal activity worldwide. Companies must therefore protect their privileged accounts against this ever-growing threat. These are, for example, administrator, service, root or database accounts. Cyber criminals favour such accounts because they allow access to sensitive and business-critical resources. Privileged accounts require particularly effective management and security to protect them.  Privileged Access Management (PAM) is one of the ways to achieve this. That cyber security solution requires that the assets are first identified, before being protected. This article shows how PAM can effectively protect the privileged accounts against cyber threats. Where are the privileged accounts? Access rights apply to all parts of hybrid IT, from the local database administrator or application stewards to external partners, suppliers, application admins or developers, but also to helpdesks or computers and devices in the Internet of Things area. All these populations and privileged accounts are growing as IT expands towards new technologies such as cloud solutions or services managed by external partners How does PAM help my company? PAM makes it possible to manage all privileged accounts. All types of privileged accounts are recorded, categorised and automatically integrated into the system. This enables efficient management of privileged accounts and brings benefits within a very short time. PAM also helps with the management of privileged access rights by checking and monitoring the use of privileged access data. As a result, organisations achieve complete control and accountability over privileged access. PAM solutions enable the management of business secrets and access to sensitive data and privileged credentials used by applications, tools and other non-human identities without compromising the agility of DevOps workflows. Secure privileged account management is easy to implement with a well-planned security strategy. IT departments can protect their privileged accounts with the following five measures: 1. Identify and prioritise privileged accounts The basis of effective privileged account management is a complete overview of all existing privileged accounts in the company network. This may sound simple and manageable, but for many IT departments it is a major challenge. This is because these accounts are distributed throughout the company’s IT and it is not uncommon for their number to far exceed the number of employees. As complete manual identification is virtually impossible, companies should therefore rely on PAM solutions that automatically recognise sensitive accounts and provide those responsible with a complete overview of all accounts and the number of all local admin users at all times. In a second step, the accounts should then be prioritised, making it easier to select the appropriate security controls. 2. Password management automation One of the most effective means of preventing the misuse of administrator accounts and accounts with privileged rights is adequate password protection. This makes it even more important to create, store and change passwords in a secure environment – and to do so regularly. As with account identification, companies should rely on PAM solutions that are based on automation, i.e. that automate password changes according to an individually defined schedule. All connected systems and users are then informed of the changes in real time so that – unlike with conventional password vaults, for example – no manual intervention is required. 3. Least privilege: implementing a minimal assignment of rights Access rights that are too broad represent a major risk for corporate security – especially when privileged authorisations and accounts are involved. A clear definition of access rights and responsibilities is therefore essential if companies want to maintain a clear security line. It is advisable to categorise accounts into user, service, system and infrastructure accounts and to allocate corresponding access rights according to the principle of minimum rights allocation, also known as the least privilege approach. This means that it is precisely defined who is allowed to access an account and how this access is organised. For example, it must be decided whether an administrator may know a fixed password or whether they must generate a new one before each session. Of course, this allocation must be checked and updated regularly. 4. Monitor privileged sessions In addition, IT departments should utilise security technologies that provide them with complete transparency of all administrative activities and sessions, making it easier for them to identify unusual and potentially harmful access at an early stage (and before major damage occurs). This is most effectively achieved with solutions that use machine learning technologies and analyse user activities based on individual behaviour patterns and automatically report suspicious access to privileged accounts. 5. Incident response plan in the event of an emergency In addition, companies should have prepared an incident response plan, which defines specific measures for defence and rapid containment of a cyberattack and ensures that companies do not lose any time in the event of an emergency. If, for example, privileged accounts have been compromised, an incident response plan is particularly important, as traditional protective measures – such as changing passwords or deactivating accounts – are not sufficient in this case and more comprehensive recovery measures must be implemented. By combining these measures, organizations can significantly enhance the security of privileged accounts and reduce the risk of unauthorized access or misuse of elevated privileges. It’s important to tailor these measures to the specific needs and risk profile of the organization.

What is the Influence of AI and ML on Privileged Access Management?

Artificial intelligence and machine learning are now influencing almost all industries and work processes. The positive impact on the productivity and efficiency of work processes is offset by the increase in the number and threat level of cyber attacks: security vulnerabilities can be detected more easily and exploited in a more sophisticated way thanks to the new methods. In view of the shortage of IT security specialists, the use of AI and machine learning also creates advantages for overcoming precisely this challenge. In the early days, the concept of managing privileged access was extremely simple. A few selected IT administrators were given the „keys“ to access critical systems and data. Today, the number of privileged users has increased exponentially as the digital transformation progresses. It is no longer just IT administrators who hold these „keys“, but also company employees or third-party providers, for example, who need access to sensitive systems and data for very different reasons. This expansion of the user side has significantly complicated the security landscape, making traditional Privileged Access Management solutions less effective. The misuse of privileged access – whether deliberate or accidental – is just one challenge that companies face. There is also a growing need for proof of privileged user credentials, as regulators are increasingly demanding them. Companies therefore need advanced PAM solutions that adapt to the digital landscape, detect threats in real time and respond to them to provide a sufficient level of security. This is where Artificial Intelligence (AI) and Machine Learning (ML) come into play. By harnessing AI and ML, companies can improve their security posture, reduce the risk of security breaches and ensure regulatory compliance. How PAM technologies utilize the advantages of artificial intelligence? AI and ML can analyze and learn from the login behavior of privileged users. By understanding what normal behavior looks like, these technologies can detect anomalies that could indicate a security risk. For example, if a user who normally logs in during normal business hours suddenly logs in late at night, this action can be classified as suspicious. The same applies to the login location. If a user who normally logs in from a specific location suddenly does so from a location, this can also be flagged automatically and indicate that the corresponding login data has been compromised. AI-powered PAM solutions effectively track user behavior and quickly flag any deviation from regular patterns. This feature provides deeper insight into user behavior and enables proactive and more effective threat detection and response. Perhaps one of the most powerful applications of AI and ML in PAM is their ability to predict anomalies. By analyzing historical data and identifying patterns, these technologies can predict potential security threats before they occur, allowing organizations to take proactive measures to mitigate them. Effective PAM solutions use AI to analyze enterprise data and provide security professionals with insightful data as they make access decisions. This capability enables real-time monitoring of evolving threats, attack patterns and risky behavior, allowing organizations to respond quickly and effectively to potential security threats. Privilege elevation and delegation are key aspects of Privileged Access Management (PAM) that involve managing and granting elevated permissions to users for specific tasks while minimizing the risk associated with such privileges. Artificial Intelligence can play a crucial role in optimizing and securing privilege elevation and delegation processes within a PAM framework. AI can be applied in areas such as Contextual Authorization, Automated Workflow and Approval, Role Mining and Entitlement Management, Privilege Delegation Recommendations and Audit Trial analysis. An efficient PAM solution should also provide risk scoring regarding individual users based on their behavior and historical data. This feature enables administrators to make informed decisions about granting or revoking privileged access and thus improve the organization’s security posture. Real-time analysis of access requests enables adaptive management decisions that are not just based on fixed rules. This feature enables a more dynamic and responsive PAM approach and ensures that the organization’s security measures keep pace with the evolving threat landscape. The benefits listed above clearly show that the use of AI and machine learning for IT security is no longer an option, but a necessity. These technologies offer promising opportunities to improve the efficiency of PAM solutions and thus strengthen the level of security in organizations. By using these technologies, companies can improve their security posture, reduce the risk of security breaches and improve compliance with legal requirements. AI can integrate with threat intelligence feeds to enhance PAM solutions‘ ability to recognize and respond to emerging threats. When integrated with AI-driven PAM solutions, threat intelligence contributes to a more robust security framework and helps PAM systems stay updated on the latest security threats and vulnerabilities. When we talk about Risk Assessment and Prioritization AI can analyze threat intelligence data to assess the risk associated with various activities and access requests within the organization. By combining threat intelligence insights with behavioral analytics, AI can prioritize and assign risk scores to different access attempts, helping organizations focus on addressing the most critical threats first. Threat intelligence feeds provide information about the latest cyber threats, vulnerabilities, and attack techniques. AI algorithms can process this information in real-time, allowing PAM solutions to proactively detect and respond to emerging threats before they can be exploited. In a nutshell, the integration of artificial intelligence and machine learning into Privileged Access Management enhances security by providing advanced analytics, automation, and adaptive responses. This results in a more resilient and responsive security framework, crucial for safeguarding privileged access to sensitive systems and data in today’s complex cybersecurity landscape.

Identity Security as a Core Pillar of Zero Trust

Nowadays cyber risks are constantly increasing. However, companies can significantly increase their level of security with a few preventative measures and the focus should be on an identity-based zero trust strategy. At its core, zero trust is a strategic cybersecurity model for protecting digital business environments, which increasingly include public and private clouds, SaaS applications and DevOps practices. Identity-based zero trust solutions such as single sign-on (SSO) and multi-factor authentication (MFA) are designed to ensure that only authorized people, devices and applications can access a company’s systems and data. Simply explained, zero trust is based on the idea that you cannot distinguish the „good guys“ from the „bad guys“. In other words, the zero trust principle is based on the assumption that any identity – whether human or machine – with access to systems and applications may be compromised. Traditional concepts that rely on perimeter protection no longer work in an era of digital transformation, the increasing use of cloud services and the introduction of hybrid working models. This has led to the zero trust approach „Never Trust, Always Verify“ to secure identities, end devices, applications, data, infrastructures and networks while ensuring transparency, automation and orchestration. The five principles of zero trust protection There are many frameworks that support companies in the introduction of Zero Trust. However, as every company has different requirements, these frameworks should only be seen as an initial guide to developing and implementing a zero trust strategy and roadmap. In any case, an effective zero trust program should include five constants: By enabling consistent adaptive multi-factor authentication, organizations ensure that users are who they say they are. Organizations can detect potential threats faster and users can easily and securely gain access to resources. Organizations should automate identity provisioning and define approval processes. Re-authenticating and re-validating user identities – for example after high-risk web browser sessions or periods of inactivity – ensures that the right user has access to the right resources. It is essential to eliminate unnecessary privileges and remove superfluous authorizations for cloud workloads. It must be ensured that all human and non-human users only have the privileges required for their tasks in accordance with the least privilege principle. With the just-in-time access method, companies can also grant users extended access rights in real time. This means that an end user can access the required resources for a certain period of time in order to carry out a specific activity. The rights are then withdrawn again. Continuous monitoring is the best way to understand what is happening and to detect any anomalies that occur. By recording sessions and key events as well as tamper-proof stored audits, companies can document adherence to compliance requirements. Endpoint Privilege Management is the cornerstone of strong endpoint protection and is critical for detecting and blocking credential theft attempts, consistently enforcing the principle of least privilege (including the removal of local administrator rights) and flexible application control to defend against malware and ransomware. The intelligent, policy-based application control prevents the execution of malicious programs. In addition to classic software denylisting and allowlisting, it should also be possible to run applications in a „restricted mode“ so that the user can also access applications that are not explicitly trusted or unknown. Identity as the core pillar of Zero Trust In principle, zero trust is neither quick nor easy to implement, and implementation can be complex. If only because efficient zero trust strategies involve a combination of different solutions and technologies, including multi-factor authentication, Identity and Access Management (IAM), Privileged Access Management (PAM) or network segmentation. But one thing must be clear: For a Zero Trust project to be successful, identity must play a central role from the outset. With identity security, as the basis of a zero trust approach, companies can identify and isolate threats and prevent them from compromising identities. Identity security is the means to achieve measurable risk reduction and also accelerate the implementation of zero trust frameworks. The exponentially increasing number of identities to be managed – and the threat that each individual identity can pose – increases the need for organizations to implement a zero trust security approach. An identity-based approach to zero trust is therefore becoming increasingly popular, with more and more organizations taking this route to dramatically improve their overall security posture.

How to Implement Zero Trust With Privileged Access Management

Zero Trust and PAM both emphasize the importance of access control. As we know, Zero Trust adopts a least privilege approach, ensuring that users and devices have only the necessary access rights to perform their tasks. PAM focuses on managing and controlling privileged accounts, which have elevated privileges and access to critical systems and data. By integrating PAM within a Zero Trust framework, organizations can implement strict controls over privileged access, reducing the risk of unauthorized or excessive access. Guide to implementing Zero Trust with Privileged Access Management: Implementing Zero Trust with Privileged Access Management (PAM) involves combining the principles and practices of both approaches to enhance security and minimize the risk of unauthorized access. In this article will be presented a step-by-step guide to implementing Zero Trust with Privileged Access Management: Remember that implementing Zero Trust with Privileged Access Management is an ongoing process, and it requires commitment, regular monitoring, and a proactive approach to security. It’s recommended to engage with security professionals and consider consulting with experts to ensure a robust implementation. What is the interaction between zero trust and privileged access management? As already mentioned, Zero Trust and Privileged Access Management (PAM) are two complementary security concepts that work together to enhance overall cybersecurity. While Zero Trust focuses on the principle of not trusting any user or device by default, PAM specifically addresses the management and control of privileged accounts. Zero Trust and Privileged Access Management (PAM) interact in several ways to strengthen overall security and mitigate the risks associated with privileged accounts. Here’s a closer look at their interaction: By combining the principles and practices of Zero Trust with the capabilities of Privileged Access Management, organizations can enhance their security posture, minimize the risk of unauthorized access, privilege misuse, and potential security breaches involving privileged accounts. The interaction between Zero Trust and PAM helps organizations enforce strict access controls, implement strong authentication, monitor privileged access activities, and make risk-based decisions to protect critical assets and sensitive data.

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