Over 3,100 data centers are currently operating across the U.S. To keep up with AI demands, companies often replace hardware within three years, leaving behind massive amounts of decommissioned equipment.
Standard ITAD practices, such as shredding, aren’t enough. AI hardware demands a much higher standard of destruction. ITAD and NIST 800-88 were never designed to address modern AI architecture.
If you’re partnering with a facility that shreds components into half- or three-quarter-inch pieces, you’re putting companies at risk. Traditional shred sizes and single-pass drive wiping don’t always work on embedded flash, high-bandwidth memory, multi-chip modules, and system-on-chip architecture.
Instead, look beyond legacy standards and shift toward data-destruction methods that protect against corporate espionage, theft, or hardware reverse engineering.
Take a Closer Look at Today’s AI Hardware Security Risks
Traditional data center security mostly focused on protecting against software threats like malware, ransomware, and unauthorized database access. While these cybersecurity risks remain important, AI infrastructure introduces new physical and structural security threats.
Expanded Distribution
The expanded physical distribution of AI hardware is one of the biggest problems. Corporate data is no longer isolated inside your server room. It’s now spread across regional AI training hubs, micro-data centers, and edge facilities nationwide.
Because many of these remote satellite sites lack dedicated on-site IT teams or security personnel, maintaining a physical chain of custody during hardware replacements or decommissioning becomes extremely difficult.
Risk of Exposure
The type of data stored on AI hardware creates a new type of exposure. Unlike standard database servers that contain people’s personal information, AI accelerators store intellectual property assets, including cached training prompts, fine-tuned parameter files, and proprietary model weights.
If that intellectual property is left behind, bad actors can clone AI models, steal sensitive training data, or reverse-engineer proprietary algorithms. With this level of information, API credentials, confidential corporate records, Personally Identifiable Information (PII), and Protected Health Information (PHI) could fall into the wrong hands.
Supply and Demand
Global supply shortages and the high secondary-market value of enterprise GPUs keep demand high. The volume and speed at which these assets are recycled make proper asset tracking harder. They’re at risk of theft and resale, often before the data is fully destroyed.
Why Don’t Legacy Standards Like ITAD and NIST SP 800-88 Do Enough?
Traditional IT asset disposition (ITAD) practices and NIST SP 800-88 media sanitization guidelines were established when enterprise storage focused primarily on basic server architectures, centralized on-site data centers, and mechanical hard drives.
Over time, storage architecture evolved from magnetic hard drives to solid-state drives (SSDs), while enterprise workloads shifted toward off-site data centers and cloud environments. Modern Flash and Non-Volatile Memory Express (NVMe) storage rely on wear-leveling algorithms, over-provisioned storage blocks, and Flash Translation Layers (FTL). That’s a problem for traditional ITAD practices.
Standard software overwrites often fail on these modern storage architectures because logical wiping commands don’t always reach hidden or managed flash sectors.
Physical destruction via industrial shredding is often used as a secondary layer of data destruction, but it’s not good enough. Standard ITAD shredders typically reduce devices to half-inch or three-quarter-inch pieces. Modern AI components—such as 3D-stacked High-Bandwidth Memory (HBM) integrated directly into a GPU interposer—are tiny. They can pass through standard shredders fully intact.
While a standard drive case is destroyed, the HBM modules are untouched and retain multi-gigabyte data sets that a skilled bad actor can retrieve. This level of data theft can be catastrophic.
Despite this technical gap, physical destruction standards and vendor procedures haven’t kept up. Treating high-density AI nodes like routine office electronics puts you at risk because many ITAD vendors lack the specialized equipment and micro-shredding protocols needed to destroy these AI components.
Understand the Rules and Regulations Facing Data Centers
The average cost of a data breach continues to grow, and AI hardware expands the risk because it’s hard to find ITAD vendors prepared to handle end-of-life management. Across the U.S., states are bolstering their data privacy laws. Federal rules and regulations, along with Europe’s EU AI Act and GDPR, also apply.
If your company fails to follow these rules or chooses an ITAD vendor that isn’t carefully vetted and a breach occurs, the penalties can be substantial.
Bureau of Industry and Security (BIS) Regulations
Any company that ships high-performance AI chips and other supercomputing items to Macau or countries in Group D:5 must comply with the BIS licensing rules. Group D:5 includes:
- Africa (Central African Republic, Democratic Republic of the Congo, Eritrea, Libya, Republic of South Sudan, Somalia, Sudan, and Zimbabwe)
- Americas and the Caribbean (Cuba, Haiti, Nicaragua, and Venezuela)
- Asia and the Middle East (Afghanistan, China, Iran, Iraq, Lebanon, Myanmar, North Korea, and Syria)
- Europe and Eurasia (Belarus, Russia)
Licenses are needed for AI hardware that’s disposed of, shipped, or used in those countries. If you pick a U.S.-based AI hardware ITAD vendor, you don’t have to worry about penalties for advanced computing items that ended up in one of those countries without the proper license.
Privacy Frameworks
Some regulations require companies to keep customer, employee, and other personal information safe. You’re responsible for protecting people’s privacy.
- California Consumer Privacy Act (CCPA): For-profit businesses that meet the state’s revenue thresholds must make it clear what personal data is collected and provide consumers with the right to control what is shared or sold.
- EU AI Act: Anyone who develops, deploys, or imports AI hardware and systems must make it clear to users when they’re interacting with AI, and it regulates AI based on risk assessment.
- General Data Protection Regulation (GDPR): A company that is breached has 72 hours to report the breach to government authorities.
- HIPAA: Healthcare practices, clearinghouses, or insurance providers are responsible for protecting patients’ records, both online and in the office. If there’s a breach, notification must be made to authorities and individuals within 60 days. AI platforms are not protected by HIPAA rules if the patient downloads medical files to one.
FTC Disposal Rule, the WEEE, & State-Level Electronic Waste Bans
AI hardware contains metals and rare earth elements. Many states have electronic waste bans in place, so nothing should be sent to a landfill. Electronics recycling is mandatory.
In addition, the FTC enforces the Disposal Rule, which requires organizations to take reasonable measures to destroy and erase electronic files and media to protect personal information. Choosing a carefully vetted, experienced data destruction vendor is important.
WEEE also regulates electronic waste disposal in the EU. Producers have to register with any EU country where they sell electronic goods. If your company resells refurbished IT assets, registration is required, and importers are responsible for end-of-life management.
These rules are important to consider. If your data center chooses a vendor for end-of-life recycling and those items end up on the market in Europe, you’re not only at risk of costly data theft, but you could also be held liable for your goods ending up on the secondary market. Carefully vetting your ITAD and electronics recycling partner isn’t just optional; it’s essential.
What Are the Best Practices for AI Hardware Destruction?
So, how do you make sure your AI hardware is wiped and recycled correctly? An expert in AI data destruction follows these guidelines.
- AI Hardware Classification: Analyze equipment to separate standard enterprise servers from AI accelerators like ASICs, GPUs, and TPUs, then sort by risk and the value of the data on each component.
- Advanced Cryptographic Sanitization: Using rigorous, multi-pass logical purging aligned with NIST 800-88 Rev. 2 guidelines to clear, purge, and destroy data from high-speed cache and flash memory.
- End-to-End Chain of Custody: Enforce strict security measures during transportation, including real-time tracking in secure containers and serial-level logging from the moment servers leave the racks to the final step of the destruction.
- Specialized Physical Destruction: Use high-security micro-shredding (fragments no larger than 2 millimeters) or disintegration, while recovering valuable materials like rare earth minerals and metals.
- Vetted ITAD Partnerships: Choose an IT Asset Disposition (ITAD) provider that you ensure is certified in R2v3, e-Stewards, and NAID AAA. This ensures they have the equipment and protocols to handle data destruction and recycling of AI hardware.
ERI holds those certifications and several others. We’re a leading specialist in AI hardware ITAD and electronics recycling firm with locations across the U.S. Call us to learn more.