Navigating the Complex World of Software Asset Management in the Age of AI and Low-Code Apps
According to a recent ZDNet article by Joe McKendrick, the average enterprise has 80,000 applications built outside the traditional development lifecycle, with 62% of these containing vulnerabilities. This highlights the urgent need for robust Software Asset Management (SAM) practices to secure the modern enterprise.
The role of SAM has evolved beyond its traditional remit of software license management. It is now a critical ally to Information Security (InfoSec), Governance, Risk, and Compliance (GRC) functions. As organizations embrace cloud-based services, SaaS, FinOps, and AI, the importance of a proactive SAM strategy cannot be overstated. Here are seven key considerations for organizations looking to effectively manage the risks associated with AI copilots and low-code platforms.
1. Implement Role-Based Access Controls
With the integration of AI copilots into workflows, it’s essential to clearly define job profiles that require access to these tools. Applying role-based access controls (RBAC) ensures that only those employees who need to use copilots are granted access. This minimizes the risk of unauthorized use and reduces the potential attack surface. By tightly controlling access, organizations can prevent misuse and ensure that copilots are utilized appropriately within the enterprise.
2. Enhance Visibility with O365 Security Groups
Adding co-pilot users to specific Office 365 (O365) security groups can provide better visibility and tracking of copilot usage. This allows organizations to monitor user activity closely, identify unusual patterns, and respond swiftly to potential threats. Grouping users in this way also facilitates more efficient management of access rights and helps in maintaining a clear audit trail for compliance purposes.
3. Conduct Regular Access Reviews
Regular access reviews are crucial in validating what resources copilot users have access to and revoking permissions that are no longer necessary. For large organizations, this process can be overwhelming if done manually. Investing in tools like Microsoft’s ENTRA ID Plan 2, which offers automated access reviews, can significantly streamline this process. Organizations rolling out copilots must have the capability to see who has access to what, thereby reducing the risk of unauthorized access and potential data breaches.
4. Leverage SAM and Cybersecurity Tools
The integration of SAM with cybersecurity tools is vital for monitoring the use of copilots and other AI tools. These tools can identify potential security vulnerabilities, unauthorized API calls, and risky automation practices. By leveraging both SAM and cybersecurity capabilities, organizations can gain a comprehensive view of their software ecosystem and proactively address any security concerns.
5. Integrate SAM with Cybersecurity Frameworks
Integrating SAM with established cybersecurity frameworks enhances the organization’s ability to monitor usage, access, and deviations. SAM’s role in identifying and mitigating vulnerabilities is invaluable, especially in the context of AI and low-code platforms like copilots. By working closely with InfoSec and GRC teams, SAM can ensure that software assets are used securely and in compliance with organizational policies.
6. Utilize Usage Analytics for Optimization
Deploying usage analytics provides insights into how copilots are being used across the organization. By identifying usage patterns, organizations can detect potential misuse or overuse of licenses. Analytics can also highlight underutilized licenses, enabling cost optimization. This not only enhances security but also ensures that software investments align with actual needs.
7. Monitor and Align Software Investments
The SAM function plays a critical role in continuously monitoring the profiles and usage of services. This ongoing effort helps to align software investments and usage with organizational requirements. SAM’s oversight ensures that only the right individuals have access to data assets, and that these are used in compliance with data governance policies, particularly those tailored for AI and low-code tools.
As organizations continue to adopt AI copilots and low-code platforms, the complexities of managing software assets will only increase. Effective SAM is no longer just about managing licenses; it’s about ensuring the security and compliance of the entire software ecosystem. By adopting proactive SAM strategies and integrating them with InfoSec and GRC frameworks, organizations can navigate the challenges of this new era and safeguard their digital assets.
For businesses looking to strengthen their SAM practices in the face of these emerging threats, Blackhill Solutions is here to help. We offer expert guidance and solutions to ensure that your software assets are secure, compliant, and optimized for your organization’s needs. Contact us today to learn more.
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