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AI Security Takes Centre Stage: Hackers Warn Systems Are Still Shockingly Vulnerable

2025 marks a dramatic shift in the AI landscape—what was once a dialogue about AI “safety” has quickly transformed into a focus on AI “security.”

Since the debut of ChatGPT in late 2022, conversations around AI have often veered into the hypothetical, with alarmist warnings about existential threats: rogue AI causing global crises, or out-of-control systems undermining humanity. But in a surprising turn, the real and immediate security risks AI poses have begun to dominate discussions.

The State Of AI Security: Far From Secure

Security experts are making it clear: AI systems remain frighteningly easy to manipulate. These tools—designed to power everything from chatbots to self-driving cars—are still riddled with vulnerabilities. At this point, hackers can trick large language models (LLMs) into providing detailed guides on cyberattacks or exposing sensitive data. The risk is not just theoretical—deepfake videos could spread fake news, or chatbots could be weaponized for scams. These aren’t future threats—they’re happening now.

Even as companies scramble to patch AI security holes, a report from the 2024 Def Con hackers’ conference points out that current defenses are woefully inadequate. Despite the best efforts of ethical hackers, AI models continue to be alarmingly easy to break into, with major flaws still slipping under the radar.

Why Red-Teaming Isn’t Enough

At the heart of AI security efforts is a practice called “red teaming,” where companies stress-test their models by simulating potential attacks. The aim is to uncover weaknesses like misinformation, privacy leaks, or manipulation of model behavior. However, experts like Sven Cattell, founder of Def Con’s AI Village, aren’t convinced. Cattell argues that the current process is deeply flawed—AI systems are too complex and unpredictable for red-teaming to catch every potential vulnerability. He points out that no team, regardless of its size or expertise, can predict all how AI might be exploited. As he puts it, the unknowns in AI security will always outpace testing efforts.

Collaboration Is Key To AI Security

The way forward, Cattell insists, is collaboration. Just like traditional cybersecurity, AI security requires shared knowledge and a more coordinated approach to identifying and fixing vulnerabilities. Without a standardized system for reporting AI flaws and a public database to track these issues, the security of these systems will remain in jeopardy. Without this cooperation, AI will never be fully secure.

To truly safeguard AI models, experts urge the creation of dedicated frameworks, allowing developers to share vulnerabilities and fix them collectively. This is not just about building a secure system; it’s about creating a culture of collaboration across industries to prevent AI from being exploited by malicious actors.

In a world where AI’s role continues to expand, its security must become just as sophisticated as the systems it powers. Now is the time to act before these vulnerabilities spiral into real-world dangers.

IMF Warns Tokenisation Could Create New Financial Stability Risks

The International Monetary Fund has warned that tokenised finance could make the global financial system more efficient and resilient or introduce new vulnerabilities, depending on how regulators respond.

More Than A Technological Upgrade

Tokenisation is often presented as a faster and cheaper way to move money and assets. The IMF argues its impact could be far broader. By moving financial assets and liabilities onto shared digital ledgers, tokenisation could reshape market structures, redistribute risk and require regulators to rethink how financial systems are supervised.

In traditional markets, execution, clearing and settlement take place sequentially through multiple intermediaries. Tokenised systems can combine those functions into a single software-driven process, allowing transactions to be executed, transferred and settled almost simultaneously.

While that could improve efficiency, it would also shift where risk is concentrated. Instead of remaining primarily with banks, brokers and investment funds, risk could increasingly move to the digital platforms and infrastructure providers operating tokenised markets.

Speed Brings Efficiency And Exposure

Faster settlement, lower transaction costs and programmable assets are among tokenisation’s key advantages. However, the IMF warns that the same features could remove safeguards built into the current financial system.

Delays in settlement, reconciliation and liquidity management create costs, but they also give financial institutions time to detect errors, absorb shocks and respond during periods of market stress. Tokenised finance compresses those timelines.

As a result, liquidity pressures could emerge immediately, collateral calls could be triggered automatically, and disruptions could spread more quickly than firms or regulators can respond. Markets may become more efficient, but also more continuous, more automated and potentially less resilient during periods of stress.

The Battle Over Settlement Assets

One of the IMF’s main concerns is the future of settlement assets, the money used to complete financial transactions. While central bank money remains the safest settlement asset, tokenisation introduces several digital alternatives.

Tokenised bank deposits would largely fit within existing regulatory frameworks and could improve liquidity management through programmable, simultaneous settlement. However, continuous settlement would leave banks with less time to respond to unexpected disruptions, increasing the need for real-time liquidity support.

Stablecoins offer programmability and global reach, but their reliability depends on the quality of their reserves and the resilience of their issuers. Even fully backed stablecoins have come under pressure during periods of market stress.

Tokenised central bank reserves would eliminate credit risk from the settlement asset itself, but would also require central banks to operate or oversee new programmable infrastructure, expanding their role beyond traditional payment systems.

Banks Will Not Disappear, But Their Role Will Change

The IMF expects tokenisation to reshape rather than replace banks. Tokenised deposits could combine payments, settlement and treasury operations on shared ledgers, while tokenised lending could automate interest calculations, collateral management and risk controls through smart contracts.

In capital markets, tokenised securities could integrate issuance, trading, settlement, custody and compliance into a single workflow, reducing counterparty risk and speeding up processing. However, automated margin calls and redemption mechanisms could amplify stress during periods of market disruption.

Concentration Creates A New Systemic Risk

Shared permissioned ledgers could reduce fragmentation by consolidating activity on fewer platforms, making operational resilience, cybersecurity and governance increasingly important.

If digital infrastructure becomes central to market activity, operational failures could become systemic risks. The IMF also stresses that interoperability between platforms will be critical to prevent liquidity from becoming trapped across separate systems.

Regulation Must Move Into The Code

The IMF says tokenisation will require regulators to oversee not only financial institutions but also the software executing transactions. Smart contracts could become critical market infrastructure, increasing the need for transparency, governance and oversight.

Legal certainty will also be essential. Market participants must know whether tokenised records represent legal ownership, when settlement becomes final and which jurisdiction applies to cross-border transactions.

Why Emerging Markets Face A Bigger Trade-Off

For emerging and developing economies, tokenisation could improve cross-border payments, broaden market access and modernise settlement systems.

However, faster-moving tokenised assets could also accelerate capital flight, currency substitution and pressure on monetary sovereignty, particularly if privately issued global stablecoins become widely used for payments. The IMF says domestic regulation should remain the first line of defence, supported by international coordination.

The Policy Choices Will Determine The Outcome

The IMF says tokenisation is neither inherently beneficial nor inherently risky. Its impact will depend on the regulatory, legal and operational frameworks governing it.

According to the fund, the most resilient model combines private-sector innovation with risk-free settlement assets, clear legal frameworks and internationally coordinated oversight.

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