
Adam Back argues simpler offline security can protect digital assets against cyberattacks and AI-assisted threats
Blockstream, led by cryptographer Adam Back, has launched an institutional digital asset custody solution with French technology group Thales, combining Thales' hardware security modules with Blockstream's Secure-MPC technology to keep signing operations offline and protected from cyberattacks.
AI-generated summary
Blockstream is a Bitcoin infrastructure company co-founded by cryptographer Adam Back, whose Hashcash system contributed to Bitcoin's proof-of-work mechanism. The article references Binance's $6.3 billion hack, in which attackers compromised employee devices to access wallet-signing infrastructure.
Adam Back’s Bitcoin infrastructure company Blockstream has launched a new institutional digital asset custody solution developed with French technology group Thales, as the cryptographer pushes for simpler, offline security systems to protect Bitcoin against increasingly sophisticated cyberattacks.
The solution, announced Friday, combines Thales’ hardware security modules (HSMs) with Blockstream’s Secure Multi-Party Computation (Secure-MPC) technology, allowing institutions to authorize transactions while keeping sensitive cryptographic operations within dedicated security hardware, according to the company.
Unlike conventional MPC implementations that may perform portions of the signing process outside dedicated security hardware, Blockstream said its architecture executes the entire signing protocol within the protected environment of Thales’ HSMs.
Blockstream co-founder and CEO Adam Back, a pioneering cryptographer whose Hashcash system helped lay the groundwork for Bitcoin’s proof-of-work mechanism, told Cointelegraph that conventional MPC protocols are often too complex and require too much communication between devices to be practical for fully offline cold storage.
“When people talk about MPC, they’re talking about some very esoteric and complicated protocols that are hard to secure and are very interactive. So you can’t really use them in a cold storage setting,” Back said.
Back pointed to the Binance $6.3 billion hack as an example of the risks facing internet-connected custody infrastructure, arguing that keeping signing devices offline can help prevent unauthorized access.
According to Binance’s investigation, attackers compromised employee devices and obtained credentials that allowed them to access the exchange’s wallet-signing infrastructure.
“If you connect equipment to the internet, even if it’s via firewalls and so on, there is risk that you can get unauthorized access. You can get hackers into the network, get hackers with access to logins they shouldn’t have and so on,” he said.
He also said that AI could make existing security challenges more difficult to manage, particularly by helping attackers discover subtle flaws in complex MPC implementations.
“The AIs can help attackers find small implementation errors and things like that, which may not be obvious,” he said.
Asked whether the broader custody industry would adopt similar offline security models, Back said he hoped so, arguing that institutions should “adapt to the environment” by moving assets into cold storage to reduce exposure to potential AI-assisted attacks.
“Complexity is the enemy of security. And going back to basics is the answer, you know, just cold-store it,” Back added.
AI outlook — possibilities, not facts
Institutions may increase adoption of offline cold storage for digital asset custody
Possible · Within months

OpenAI introduced a ChatGPT feature letting AI agents make purchases on users' behalf via Visa, Mastercard, and American Express, starting with Pro subscribers in the US. Tokenized credentials protect card details, and spending-limit automation is planned. Juniper Research projects agentic commerce will reach $1.5 trillion by 2030.

Chinese developers are planning and building AI data centers worth over 23 billion yuan ($3.2 billion) around Nvidia processors restricted by U.S. export controls, according to a Reuters investigation. Projects in Fujian, Shaanxi, Jilin, Inner Mongolia, and Wuxi specify H100, H200, or H800 chips, though documents do not confirm all processors were obtained or that export laws were broken.

Amazon released AWS Emulator on Nov. 11, a local tool that imitates AWS services for cloud application testing. The company says autonomous AI agents wrote and reviewed its implementation, while human engineers manage fidelity tests, difference detection, issue fixes, and shipping guardrails. AWS warns the emulator is not for production workloads and does not validate application security.

Forescout researchers used Anthropic's Claude AI to uncover 66 previously unknown vulnerabilities in embedded networking software. The AI-assisted approach reduced analysis time significantly, though researchers noted limitations in detecting complex logic and design flaws.

Google introduced the Gemini Decisions API on Nov. 11, 2026, allowing software to request bounded AI judgments with fixed choices and probabilities, bypassing prose generation.

Indian crypto exchange Unocoin has suspended deposits and withdrawals while investigating suspicious outgoing transfers from wallets linked to custodian BitGo, suspecting the misuse of a recovery feature.