Solana Foundation CISO Warns AI Is Making Crypto Scams More Convincing

bitcoinistPublished on 2026-08-03Last updated on 2026-08-03

Abstract

Solana Foundation's Chief Information Security Officer, Michael Coates, warns that AI is making crypto scams significantly more convincing by enhancing social engineering, phishing, and voice impersonation tactics. The threat targets users and teams directly, not a flaw in blockchain technology itself. AI enables polished, personalized messages and convincing deepfakes, increasing the risk of irreversible financial losses from actions like approving malicious transactions. Coates emphasizes the need for "secure by default" systems across the crypto ecosystem, as traditional user-focused warnings are insufficient against sophisticated AI-driven deception. This includes safer wallet designs, clearer transaction approvals, and stronger internal team procedures like out-of-band verification and multi-signature controls. The warning applies broadly, as AI allows scammers to operate at scale with professional-looking attacks, necessitating a fundamental shift in security approaches beyond user vigilance.

Solana Foundation’s new Chief Information Security Officer, Michael Coates, has warned that AI is making crypto scams more convincing, especially through social engineering, phishing, and voice-based impersonation.

The warning is not about a flaw in Solana’s blockchain or smart contracts. It is about the way attackers target people.

That distinction matters.

Crypto security used to be discussed mostly in terms of code: smart contracts, bridges, wallets, private keys, and validators. Those are still important. But attackers increasingly go after the user, the employee, the founder, the moderator, or the support channel.

AI makes that easier because it can produce more realistic messages, voices, identities, and pressure tactics.

TL;DR

  • Solana Foundation CISO Michael Coates warned about AI-driven social engineering.
  • The risk is phishing, impersonation, and voice deepfakes.
  • This is not a claim that Solana’s blockchain itself has a security flaw.

Crypto Scams Are Becoming More Personal

The old scam email full of spelling mistakes is not the main threat anymore.

AI can write polished messages, imitate support staff, generate fake identities, create convincing voice calls, and adapt scripts to specific victims. That means users may face attacks that feel more personal and more believable.

In crypto, that is especially dangerous because mistakes can become irreversible.

If a user signs a malicious transaction, shares a seed phrase, installs fake software, or approves the wrong wallet connection, funds can move instantly. There is no chargeback, no simple password reset, and often no central authority that can reverse the transaction.

That makes social engineering a very high-impact attack vector.

Secure By Default Is The Right Goal

Coates’ emphasis on systems being secure by default is important.

Crypto has often placed too much responsibility on users. “Don’t click bad links” is good advice, but it is not enough when bad links look real, voices sound authentic, and fake support accounts respond faster than real ones.

Better design can help.

Wallets can make risky approvals clearer. Apps can reduce blind signing. Protocols can limit permissions. Exchanges can improve withdrawal controls. Teams can use internal verification steps for sensitive actions. Communities can reduce reliance on direct messages.

Security should not depend on every user being perfect every time.

AI raises the standard because it makes deception cheaper and more scalable.

Social Engineering Hits Teams Too

This is not just a retail-user issue.

Crypto teams are also targets. A convincing fake vendor, investor, journalist, applicant, or internal colleague can be used to compromise credentials, gain access to systems, or trick employees into approving transactions.

Voice deepfakes make this worse.

A team member may receive what sounds like a call from an executive asking for urgent action. In a fast-moving crypto environment, urgency can bypass normal checks.

That is why teams need procedures, not just awareness.

Out-of-band verification, multisig discipline, hardware keys, access controls, and strict treasury procedures all matter.

Solana’s Ecosystem Needs User-Level Security

Solana has attracted consumer apps, DeFi activity, meme coin trading, NFT history, payment experiments, and mobile-friendly tooling. That makes user-facing security especially important.

The more mainstream an ecosystem becomes, the more attackers target ordinary users.

A chain can be fast and technically sound, but users can still lose funds through fake mints, fake airdrops, malicious token approvals, impersonation accounts, or wallet-draining sites.

So the CISO warning is relevant beyond Solana. It applies to every crypto ecosystem.

The Scam Arms Race Is Accelerating

AI does not create fraud from nothing. It makes existing fraud more efficient.

Scammers can test messages faster, personalize attacks, generate realistic content, and operate at larger scale. Users and teams need to assume that scams will look increasingly professional.

That means crypto security has to move beyond telling users to “be careful.”

Products need safer defaults. Wallets need better warnings. Protocols need permission limits. Teams need stronger internal controls. Communities need trusted communication channels.

The next wave of crypto scams may not look obviously fake.

That is the warning.

This article is based on public comments from Solana Foundation CISO Michael Coates on AI-driven crypto scams.

This article was written by the News Desk and edited by Samuel Rae.

This report is based on information released in disclosures at primary source documentation.

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Related Questions

QAccording to Solana Foundation's CISO, what specific aspect of crypto scams is being made more convincing by AI?

AAccording to Solana Foundation CISO Michael Coates, AI is making crypto scams more convincing through social engineering, specifically by enabling more realistic phishing attempts, impersonation, and voice-based deepfakes.

QWhy does the article say social engineering is a particularly high-impact attack vector in the crypto space?

ASocial engineering is a high-impact attack vector in crypto because mistakes like signing a malicious transaction or sharing a seed phrase can lead to irreversible loss of funds, as there is typically no chargeback, password reset, or central authority to reverse the transaction.

QWhat shift in security focus does the article suggest is necessary in response to AI-enhanced scams?

AThe article suggests a shift from placing too much responsibility on users (e.g., telling them to 'be careful') towards designing systems to be 'secure by default' with safer product designs, clearer warnings, permission limits, and stronger internal controls for teams.

QBesides retail users, who else is identified as a target for AI-driven social engineering attacks in the crypto ecosystem?

ABesides retail users, crypto teams and their employees are also prime targets. Attackers may use convincing impersonations of vendors, investors, or colleagues to compromise credentials, gain system access, or trick employees into approving fraudulent transactions.

QWhat is the article's conclusion about the future appearance of crypto scams due to AI?

AThe article concludes that the next wave of crypto scams, accelerated by AI, may not look obviously fake. They will appear increasingly professional, personalized, and believable, making traditional advice like 'be careful' insufficient on its own.

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