AI tools have become essential daily utilities, significantly boosting productivity across industries – from writing emails to troubleshooting code. However, this rise in “miracle tools” presents a growing problem for IT teams: the phenomenon of Shadow AI.
While your team is busy innovating, they may inadvertently bypass governance frameworks. They might install unapproved software and feed sensitive corporate data into public models.
At the same time, in our rush to secure the cloud, we often neglect the physical foundation of our digital world—our hardware.
Here is a view from the Selerity Support desk. It focuses on managing the new threats of AI while maintaining the “old school” discipline of hardware hygiene.
The Rise of Shadow AI
Shadow AI is the practice of employees using unapproved artificial intelligence tools within an organisation. This often occurs when well-intentioned staff adopt new AI productivity tools without first having them reviewed by the IT department.
The tool itself might be useful, but the risks are significant:
- Data Sovereignty: When you prompt a public AI model, where does that data go? Is it processed in Australia, or is it stored on a server in a jurisdiction with different privacy laws?
- Training the Model: Most public AI Terms of Use (ToU) allow providers to use your inputs to train their models. If you paste proprietary code or sensitive client data into a prompt, that information could theoretically be “leaked” in a future response to a stranger.
- Malware & Telemetry: Unapproved software repositories are often breeding grounds for “Potentially Unwanted Programs” (PUPs) and malware. Even legitimate tools usually collect vast amounts of telemetry data—usage patterns, device info, and location—that you may not have agreed to share.
Governance: Stopping the Leak
Ensuring data privacy doesn’t mean banning AI; it means bringing it out of the shadows. Governance is the key.
- Define “Safe” Tooling: IT teams must clearly communicate which AI tools are approved and which are prohibited. Wherever possible, provide enterprise versions of these tools that enforce data privacy controls (e.g., “zero retention”).
- Network Level Protection: Firewalls and domain blocking should be used to restrict access to known high-risk or un-audited AI platforms.
- Education is the Best Firewall: Users rarely leak data out of malice; they do it out of ignorance. Regular education on why we don’t paste customer PII (Personally Identifiable Information) into a chatbot is more effective than any software block.
Hardware Hygiene in a Cloud World
With so much focus on AI and the Cloud, it is easy to forget that data still lives on physical disks. Leaning on our decades of auditing experience, we know that physical hardware hygiene is just as critical today as it was twenty years ago.
- The “Local” Risk of the Cloud: Even if you work entirely in the cloud, your browser caches files, saves passwords, and stores temporary data locally on your workstation. If that machine is compromised, your cloud security is irrelevant.
- The Danger of “Freeware”: Third-party free software often comes with a hidden cost: your data. Many free utilities survive by selling telemetry or user data to aggregators. This can introduce vulnerabilities, such as DLL injection exploits, where malicious code forces legitimate software to load unauthorised files.
- End-of-Life Destruction: When hardware is retired, “deleting” files is not enough. We have seen decommissioned servers and workstations that still contain retrievable company data. Selerity adheres to military-standard wiping protocols—using tools like Blancco for network boots, degaussing hard drives, and physical shredding. If the data cannot be wiped, the drive must be destroyed.
Selerity: The Safe Pair of Hands
Security is not a product; it is a process. At Selerity, we act as the guardian of your analytics platform. We handle both the cutting-edge threats and the foundational basics.
- Patch Management: We monitor NIST and CVE reporting sources daily. Whether it is a 20-year-old driver exploit (like the recent Agere Modem vulnerability) or a zero-day in WinRAR, we apply hotfixes and patches to keep your SAS environment secure.
- Proactive Auditing: We regularly audit systems for vulnerabilities, including backdoors, unencrypted passwords, and unauthorised access.
- Education & Advocacy: We actively advise our clients on best practices—like removing hardcoded passwords from SAS code and implementing robust 2FA.
In an era where threats range from “Quantum AI decryption” to “dumpster diving for hard drives,” you need a partner who sees the whole picture.
Is your foundation solid enough for the AI era?
Shadow AI thrives in unmonitored environments. Don’t wait for a breach to find the gaps in your hardware hygiene.