Latest report of Eye on the Market by JP Morgan delves into the latest advances in artificial intelligence in an analysis. It is, strictly speaking, a warning about a change of regime.
The development of frontier models like Mythos marks a turning point: “AI stops being a vector of productivity and becomes a systemic risk factor with direct implications for financial markets, banking stability and global technological infrastructure,” the document warns.
What is relevant is not only the power of the model. AI doesn’t just look for flaws: it also looks for how to exploit them. According to the report, Their abilities were not explicitly designed, but rather emerge as a byproduct of their reasoning ability..
The report draws a disturbing parallel to the dynamics of nuclear proliferation: “An initial period of concentration of capabilities in a few actors followed by an expansion towards a more multipolar and, by definition, more unstable world. As these tools spread, the possibility of large-scale cyber events is no longer a tail-end scenario to become a factor to be incorporated into valuations, spreads and risk premiums“.
AI puts finances at risk
In that context, The banking system appears as the most exposed link “due to their structural dependence on shared infrastructure”, since the entities operate on an interconnected network of cloud providers, third-party software, payment systems and clearing networks.
This interdependence, which seeks efficiency, becomes a risk transmission channel when the threat is capable of escalating simultaneously over multiple layers of the system: An isolated event can quickly become a systemic problem..
This redefines the regulatory agenda. Cybersecurity ceases to be an operational aspect and becomes a central dimension of financial stability. In practical terms, it implies greater supervisory demands, pressure on the resilience of technology providers and a structural increase in compliance costs.
Big technology companies, for their part, are left in an ambivalent position. They are, at the same time, the main beneficiaries of the development of artificial intelligence and the core where the risk is concentrated. The report highlights that many of the vulnerabilities detected affect basic components of the digital ecosystem, from operating systems to open source libraries, which makes the technological infrastructure in a single point of failure with global reach.
Added to this is a critical problem: “The gap between the detection of vulnerabilities and their correction. In cloud environments, that process can be relatively agile, but in legacy systems, especially in industrial or outdated infrastructure, patching cycles can extend for years. “This temporal gap is, in practice, the space where it is defined whether technology acts as a defense mechanism or as an attack tool.”
The impact on the crypto ecosystem is more subtle, but no less relevant. Although the sector’s narrative is based on decentralization, much of its operations depend on the same technological infrastructure as the traditional financial system, such as cloud providers, code libraries and execution environments that are not immune.
The emergence of models capable of exploiting flaws in an automated manner reduces safety margins and increases operational risk, while opening the door to a new generation of AI-based audit and defense tools.
How artificial intelligence changes the global risk map
Néstor Markowicz, COO of CertiSur, says that warnings from organizations such as the Federal Reserve, the US Treasury and financial players such as JP Morgan reflect a change of scale in artificial intelligence.
The expert suggests that it is not just about more capacity, “but about greater autonomy and speed applied to critical environments,” and assures that it is a turning point that forces us to rethink cybersecurity at a systemic level, “especially in the protection of digital identities and transactions“.
Along these lines, he states that what is truly disruptive about these models is that they integrate capabilities that were previously separate: “They can detect vulnerabilities, analyze them and generate forms of exploitation in very short times.“.
He assures that this completely changes the equation, since tasks that previously took weeks or months are now carried out in an automated way and on a large scale, which reinforces the role of Robust cryptography, identity management and digital certificates as the first line of defense.
Markowicz suggests that The most exposed sectors are those with high technological dependence and systemic impact: financial, critical infrastructure, energy and telecommunications, government agencies, health and large digital platforms.
“In these environments, it ensures that having strong authentication, digital signing and certificate management schemes is not optionalbut a central part of operational resilience,” analyzes the expert.
Furthermore, it warns that the main risk is the scalability of the attack, since Artificial intelligence allows industrializing the discovery and exploitation of vulnerabilitiesand adds that the democratization of cybercrime enables actors with less experience to execute sophisticated attacks.
It also poses a systemic risk, since the same model can identify common weaknesses in multiple organizations simultaneouslywhich is why it is considered key to strengthen the digital trust infrastructure to guarantee the integrity, authenticity and confidentiality of the information.
In this context, he confesses that the system enters a new race between offensive and defensive capabilitieswhere the same technology that can be used to attack is also essential to improve early detection and prevention. He points out that at CertiSur they work on this axis, through digital identity solutions, PKI and cryptographic protection.
Finally, he assures that the path does not involve stopping technology, but rather accompanying it with greater maturity in cybersecurity, regulation and risk management. He states that these advances also open an opportunity: using AI to anticipate threats and strengthen digital trust, where tools such as digital signature, SSL/TLS certificates and identity management become key pillars in an increasingly automated environment.
AI accelerates risk: why attacking is now cheaper and faster
Facundo Balmaceda, cybersecurity specialist at SONDA Argentina, says that The advance of artificial intelligence does not only represent a technological improvement, “but a change of scale with a direct impact on the markets and in the dynamics of risk”.
It suggests that these increasingly powerful tools can analyze information, make decisions and automate tasks at unprecedented speed, redefining both productivity and the attack surface.
In that sense, he assures that the strength of AI lies in “freeing humans from repetitive tasks to focus on strategic decisions.” However, it slips that this same differential can be exploited for malicious purposes if there are no adequate controls.
Balmaceda agrees that the The most exposed sectors are those that handle critical information or key infrastructure, such as finance, energy, industry, health and the public sector.. He explains that the problem is not AI itself, “but its ability to amplify errors and accelerate attacks when implemented without a comprehensive cyber resilience or security strategy.”
In this framework, a central point stands out: “Artificial intelligence dramatically reduces the cost of attacks, allowing resource-poor actors to escalate offensives that previously required complex structures.
Furthermore, it states that the real risk is not in the technology, but in its adoption without clear rules, without human supervision and without protecting the privacy and integrity of the data. ensures that Organizations that understand this change in time will gain competitivenesswhile those that do not do so will be exposed to unnecessary risks.
Finally, he confesses that the current challenge “It is not to stop the advance of artificial intelligence, but to learn to govern it efficiently.”
