Summary

• Quantum computing is moving from theory toward early practical use, with direct implications for encryption, authentication, and long-term data confidentiality.
• The primary risk is the eventual emergence of cryptographically relevant quantum computers (CRQCs), which would break today’s public-key cryptography and undermine encryption, digital identity, and software trust at scale.
• Quantum risk is already present: “harvest now, decrypt later” activity exposes long-lived sensitive data today, regardless of when CRQCs ultimately arrive.
• Regulatory mandates and procurement standards are accelerating post-quantum cryptography (PQC) adoption, making quantum readiness a multi-year compliance and resilience priority.
• Organizations that delay preparation beyond 2026 are likely to face compressed migration timelines, higher transition costs, and increased operational disruption.

Quantum Computing Explained

Quantum computing applies principles of physics to solve certain complex problems far more efficiently than classical computers. Its security relevance lies primarily in cryptanalysis and optimization: A sufficiently powerful quantum computer will reduce the calculations required to protect today's public-key encryption from thousands of years to hours or less. Researchers have used the term “Q-Day” to refer to the hypothetical point at which quantum computers will be powerful enough to break encryption.

Quantum computing is now moving from theory toward early practical use, bringing “Q-Day” closer to reality. Industry estimates suggest quantum computing alone could generate up to $1.3 trillion in value by 2035. Major cloud providers, including IBM, Google, and Microsoft, are expanding their quantum services, while specialised firms such as Quantinuum and PsiQuantum continue to improve system stability and error correction. While these advances are not yet transformative, they are consistent with the early stages of commercial adoption.

Alongside its potential benefits across finance, pharmaceuticals, defense, and other sectors, quantum computing introduces four key security risks.

Risk 1: Breaking Public-Key Encryption

The most critical risk is the eventual arrival of cryptographically relevant quantum computers (CRQCs), systems capable of breaking widely used public-key algorithms such as RSA, Elliptic Curve Cryptography (ECC), and Diffie-Hellman. These algorithms underpin internet communications (Transport Layer Security [TLS], virtual private networks [VPNs], Secure Shell [SSH]), identity and access management, industrial and internet-of-things (IoT) systems, and the integrity of software supply chains.

If broken, threat actors could decrypt sensitive data, impersonate trusted systems, and undermine digital authentication. This could enable:

• Forged digital signatures
• Compromised code-signing pipelines
• Spoofed websites, identities, and certificates
• Manipulated financial transactions and legal documents

Risk 2: Harvest Now, Decrypt Later (HNDL)

Although cryptographically relevant quantum computers (CRQCs) may still be years away, the risk is already materializing through “harvest now, decrypt later” (HNDL) activity. State-sponsored threat actors are likely collecting and storing encrypted data today with the intent to decrypt it once quantum capabilities mature. A 2021 Booz Allen Hamilton assessment found that Chinese economic espionage operations are likely targeting encrypted data with long-term intelligence value, including biometric identifiers, covert source identities, and weapons designs.

Large-scale routing manipulation offers one method for intercepting such data. Researchers at the US Naval War College and Tel Aviv University documented systematic Border Gateway Protocol (BGP) hijacking by China Telecom between 2016 and 2019, which redirected traffic from US, Canadian, and Scandinavian networks through Chinese infrastructure. These types of operations align with a long-term HNDL collection strategy.

Under the HNDL model, exposure occurs at the moment data is transmitted or stored, not when it is eventually decrypted. The primary risk, therefore, centers on long-lived data: information that must remain confidential for a decade or more, or whose sensitivity does not diminish over time, such as government and national security records, intellectual property and trade secrets, personal identifiers, financial data, biometric templates, healthcare records, and legal archives. For these data classes, compromise may not be immediately visible, but once decrypted, the consequences are irreversible. As a result, organizations holding long-lived sensitive data face near-term strategic risk regardless of when CRQCs become operational.

Large-scale routing manipulation offers one method for intercepting such data. Researchers at the US Naval War College and Tel Aviv University documented systematic Border Gateway Protocol (BGP) hijacking by China Telecom between 2016 and 2019, which redirected traffic from US, Canadian, and Scandinavian networks through Chinese infrastructure. These types of operations align with a long-term HNDL collection strategy.

Under the HNDL model, exposure occurs at the moment data is transmitted or stored, not when it is eventually decrypted. The primary risk, therefore, centers on long-lived data: information that must remain confidential for a decade or more, or whose sensitivity does not diminish over time, such as government and national security records, intellectual property and trade secrets, personal identifiers, financial data, biometric templates, healthcare records, and legal archives. For these data classes, compromise may not be immediately visible, but once decrypted, the consequences are irreversible. As a result, organizations holding long-lived sensitive data face near-term strategic risk regardless of when CRQCs become operational.

Risk 3: Quantum-Accelerated Brute-Force Attacks (Grover’s Algorithm)

Quantum computing does not break modern symmetric encryption outright, but it can accelerate search-intensive tasks through techniques such as Grover’s algorithm. This reduces defender reaction time and increases the effectiveness of weak or legacy cryptographic implementations. In practice, this could enable faster brute-force attempts against outdated encryption, quicker identification of exposed secrets or misconfigurations, and more efficient malware tuning and exploit development.

Recent demonstrations, such as Silicon Quantum Computing’s high-accuracy implementation on a four-qubit processor, remain limited in scale but reflect steady progress toward these capabilities. However, Grover’s algorithm is constrained by high hardware requirements and limited parallelization. As a result, modern symmetric algorithms such as AES-128/192/256 are expected to remain secure for the foreseeable future, while environments with poor cryptographic hygiene will be affected first.

Risk 4: Quantum- and AI-Enhanced Vulnerability Discovery

Quantum capability will not develop in isolation. As quantum systems improve optimization and search performance, and AI automates reconnaissance, exploit development, and lateral movement, adversaries are likely to operate at unprecedented speed and scale. Rather than identifying isolated weaknesses, attackers could rapidly map entire attack surfaces, chain misconfigurations, and deploy optimized malware variants in near real time. Research from 2024 demonstrates that machine-learning classifiers can already recover full cryptographic keys from PQC implementations using only a few hundred power traces, underscoring that even post-quantum algorithms will require hardened deployment.

This convergence of AI and quantum technologies could significantly increase an attacker's operational tempo and amplify the impact of individual security lapses. The risk is compounded by the fact that a rising number of organizations carry substantial security debt, with many reporting slow remediation cycles that leave vulnerabilities exposed for extended periods.

When Will CRQCs Arrive?

There is no definitive timeline for CRQCs. Most projections place their arrival in the mid-to-late 2030s, with credible breakthroughs possible earlier in the decade. These estimates should be treated with caution: forecasting is inherently uncertain because progress in quantum error correction and qubit scaling occurs in uneven advances rather than linear progression.

For security leaders, the precise date of “Q-Day” is less important than the lifecycle of deployed systems. Infrastructure implemented today may remain operational when CRQCs emerge. Current cryptographic decisions are therefore future-binding.

Under the HNDL model, quantum risk is already material for long-lived data. Preparedness, visibility, and cryptographic agility matter more than timeline prediction.

How Should Organizations Prepare?

The transition to post-quantum cryptography (PQC) is no longer a theoretical exercise. It is increasingly driven by regulation, procurement requirements, and emerging industry norms. These developments should be interpreted as operational signals necessitating forward planning.

In the US, the Quantum Computing Cybersecurity Preparedness Act requires federal agencies to inventory quantum-vulnerable cryptography and develop migration plans. NIST’s 2024 PQC standards now set the baseline for federal procurement and are rapidly becoming global reference points. In parallel, Commercial National Security Algorithm (CNSA) 2.0 defines approved algorithms and transition timelines for national security systems, with full migration targeted by 2035. Similar momentum is building in Europe. The EU Cybersecurity Act and national quantum-preparedness strategies are accelerating early adoption, particularly across critical infrastructure sectors such as energy and transportation.

Although many of these mandates formally apply to public-sector systems, their practical impact extends well beyond government. Procurement requirements and supply-chain expectations are translating policy into commercial pressure. As a result, cryptographic inventory, structured migration planning, vendor alignment, and crypto-agility are likely to become baseline governance expectations rather than optional best practices. Boards are beginning to treat quantum risk as a strategic planning issue, not a distant technical concern, with some sectors allocating dedicated quantum-security budgets approaching 5% of total cybersecurity spend to support preparation.

Industry coordination further reinforces this direction of travel. Financial institutions, payment networks, and telecommunications providers are forming quantum-readiness working groups to align migration timelines and manage shared dependencies. SWIFT is developing PQC migration guidance for its global messaging network, and Mastercard has released a PQC migration white paper outlining practical transition steps.

As the HNDL risk window narrows, organizations that begin structured preparation now are likely to manage transition risk deliberately and cost-effectively. Security leaders should ensure they understand where quantum-vulnerable cryptography resides, how regulatory obligations may cascade through customers and partners, and whether critical suppliers have credible PQC transition roadmaps. Those that delay risk compressed timelines, regulatory pressure, and materially higher transition costs later in the decade. Specific technical and governance steps are detailed in the Mitigations section.

Outlook

HNDL activity will continue to expand.
State-sponsored threat actors are highly likely to increase long-term interception and storage of encrypted data, particularly from sectors handling information with long confidentiality lifetimes. Even as storage economics fluctuate, scalable interception infrastructure and economically sustainable long-term storage models enable continued accumulation of high-value encrypted material. Demonstrated routing manipulation capabilities further support persistent collection at scale, ensuring exposure continues to build regardless of when CRQCs ultimately arrive.

Attacker operational tempo will increase.
The convergence of AI-enabled automation with quantum-accelerated search and optimization is likely to compress defender response windows and amplify the impact of existing security debt. Organizations reliant on legacy cryptography and slow remediation cycles will feel this pressure first.

Regulatory and procurement pressure will intensify.
Post-quantum readiness is increasingly likely to become a baseline requirement for regulated markets, government contracts, and high-trust supply chains. US and European initiatives are formalizing transition timelines, and these mandates will propagate through vendor ecosystems, reframing quantum preparedness as a competitive requirement rather than a discretionary control.

Migration risk will become a primary enterprise challenge.
Organizations that delay cryptographic inventories and crypto-agility investments are likely to face compressed transition timelines, higher costs, and greater operational disruption as standards mature and vendor dependencies shift.

Mitigations

Organizations should treat quantum resilience as a phased program aligned to visibility, flexibility, and systemic risk reduction, with leaders actively testing assumptions at each stage.

Short-term (2026): Establish visibility and prioritization

Security teams should maintain a comprehensive cryptographic inventory, identifying quantum-vulnerable algorithms across applications, infrastructure, and third-party dependencies, as well as public key infrastructure (PKI), operational technology, and IoT environments, and mapping them to data sensitivity and confidentiality requirements.

Leaders should be asking:

• Do we have an enterprise-wide inventory of where quantum-vulnerable cryptography is embedded, including in legacy and third-party systems?
• Which data assets must remain confidential for a decade or more, and are they currently protected by algorithms likely to be broken by CRQCs?

Medium-term (2026–2028): Enable flexibility

Organizations should design for cryptographic agility, ensuring that new systems and major upgrades allow algorithm replacement without architectural redesign. Vendors supporting long-lived products should provide credible PQC transition roadmaps aligned to emerging standards.

Leaders should be asking:

• Are we continuing to deploy systems that hard-code cryptographic algorithms, thereby increasing future migration risk?
• Do our critical suppliers have credible, time-bound PQC transition plans, and how exposed would we be if they fell behind?

Long-term (2028-onwards): Reduce systemic exposure

Migration should prioritize long-lived data and high-trust functions, including identity infrastructure, code signing, certificate management, secure build pipelines, and critical third-party software. Strengthening software and supply-chain integrity will be essential to minimizing cascading risk during transition.

CISOs should be asking:

• Which enterprise trust anchors (for example, certificate authorities, signing keys, or hardware security modules) would create systemic impact if rendered vulnerable in a post-quantum scenario?
• Can we rotate and replace cryptographic components at scale without operational disruption if migration timelines compress unexpectedly?

Recorded Future intelligence can support these efforts by tracking emerging cryptographic risks through our Threat Intelligence Module, identifying exposed dependencies through our Attack Surface Intelligence, and assessing third-party quantum readiness as standards and vendor capabilities evolve through our Third-Party Intelligence Module.

Risk Scenario

GridCore Systems is a US-based provider of industrial control systems (ICS) and grid-management software for electric utilities nationwide. The firm relies on quantum-vulnerable public-key cryptography (RSA/ECC) for remote access, software signing, and secure data exchange with utilities and regulators, and has not yet completed a post-quantum cryptographic transition.

First-Order Implications

Second-Order Implications

Third-Order Implications

Summary

Embodied AI has arrived.. Humanoid and quadruped robots are moving off factory floors and into everyday operations, military deployments, and critical infrastructure. Technological advances in large language models LLMs and robotics are enabling robots to perform complex tasks autonomously.

Security has not kept pace. Researchers have demonstrated that commercially available robots can be hijacked over Bluetooth, covertly exfiltrate audio, video, and spatial data to servers in China, and even infect neighboring robots wirelessly, forming physical botnets. If unaddressed, these security weaknesses are set to scale massively once humanoid robots are fully integrated into critical workflows.

The risks need to be taken extremely seriously. A robot should be treated less like a machine on the balance sheet and more like a cyber-physical endpoint with cameras, microphones, radios, cloud dependencies, and motors. That means tougher procurement, tighter network controls, continuous vulnerability monitoring, and a credible plan for operational continuity if a fleet has to be pulled offline.

Analysis

Market Drivers of Embodied AI Adoption

Embodied AI, intelligent systems in physical forms such as humanoid and quadruped robots, is moving from spectacle to staffing plans.

The shift is being driven as much by demographics as by technological progress. There are growing reports that the working-age population worldwide has begun to decline. China, an economic success story, has seen its population also decline again in 2025 as births hit a record low. These trends do not make large-scale automation inevitable, but they seriously strengthen the economic case for it in both corporate and government decision-making.

The International Federation of Robotics identifies labor shortages, real-world testing of humanoid robots, and increasing attention to safety and cybersecurity as defining trends for 2026. Some early deployments of embodied AI reinforce this trajectory. BMW reports that the Figure 02 humanoid robot has assisted in the production of more than 30,000 X3 vehicles, while GXO and Agility Robotics describe their partnership (established in 2024) as “the first formal commercial deployment of humanoid robots.” In high-risk environments, Sellafield is deploying quadruped robots to reduce human exposure in nuclear decommissioning.

Capital markets are also responding. Unitree filed for a reported $610 million initial public offering (IPO) in Shanghai in March 2026. Taken together, these signals suggest that robots are leaving pilot programs and becoming operational.

That transition makes the security question immediate rather than theoretical.

Expanding Attack Surface in Embodied AI Systems

Unlike traditional IT assets, embodied AI systems combine multiple high-risk components in a single platform: cameras, microphones, sensors, wireless radios, cloud connectivity, and physical actuation. This convergence creates a broad and under-secured attack surface.

A compromised robot can exfiltrate sensitive environmental and operational data, provide persistent remote access to internal networks, and interact physically with its environment, potentially causing unintended physical effects. This elevates robots from conventional endpoints to cyber-physical systems with both digital and real-world consequences.

The risk is compounded by architectural choices. Many platforms rely on cloud-dependent telemetry, wireless provisioning interfaces, and centralized control mechanisms. These design decisions create multiple entry points for attackers and increase the likelihood of compromise across entire fleets of embodied AI systems.

Demonstrated Vulnerabilities and Exploits

The risks are no longer theoretical. Documented vulnerabilities show that commercially available robots can be compromised with relative ease. Unlike traditional cyber threats, which mostly affect the digital world, exploiting robots enables attackers to manipulate the physical world, maximizing the potential for harm.

In 2025, researchers discovered an undocumented backdoor in Unitree’s Go1 quadruped robot that enabled remote access via the CloudSail service. Axios reported that an exposed web application programming interface (API) could allow attackers to locate devices globally and, if a robot was online, view live camera feeds without authentication. Where default credentials remained unchanged, full device control was possible. Whether described as a backdoor or a design failure, the implication is the same: robots may be reachable in ways operators do not anticipate, just like any other Internet of Things (IoT) device.

Further research disclosed a critical vulnerability in the Bluetooth Low Energy and Wi-Fi provisioning interface used by multiple Unitree models, including the Go2, B2, G1, R1, and H1 robots. According to both the UniPwn research and IEEE Spectrum, the flaw combined hard-coded cryptographic keys, trivial authentication bypass, and command injection in the Wi-Fi setup process. An attacker within radio range could obtain root-level access without physical contact, giving them control over the robot.

Because the exploit propagates wirelessly, a single compromised device can enable lateral movement across nearby robots. This creates a fleet-level compromise scenario in which multiple units can be controlled simultaneously. The result resembles a physical botnet capable of both digital and physical actions.

Surveillance risks are equally significant. Researchers wrote that the Unitree G1 robot continuously exfiltrated multimodal sensor and service-state telemetry every 300 seconds without the operator’s knowledge. This included streaming data to external servers, potentially including audio, video, and spatial mapping. A robot operating inside a plant or laboratory may therefore be mapping the environment in real time.

The attack surface extends beyond firmware and networking layers. Researchers showed they could take control of a Unitree humanoid in about a minute, bypass its normal controller, and trigger physical actions. Demonstrations at GEEKCon in Shanghai indicated that both voice commands and short-range wireless exploits could hijack robots and propagate attacks to nearby units, including those not actively in use.

At the software layer, embodied AI systems introduce additional risks due to their reliance on large vision-language models. Researchers demonstrated that physical-world text can influence system behavior, as injected visual prompts were shown to steer autonomous driving, drone landing, and tracking tasks without compromising the underlying software. This would enable threat actors to take control of a self-driving car or turn a drone into their own surveillance feed by embedding a visual prompt in the environment, such as hiding a message on a stop sign.

Systemic and Operational Risk Implications

The implications extend beyond individual devices to organizational and systemic risk. Embodied AI systems are already being deployed in environments where compromise has consequences beyond data loss. Manipulation or malfunction of robots during critical operations would have outsized economic or public safety consequences. Militaries are also experimenting with robotic systems (see Figure 4).

In 2024, the Golden Dragon exercise between Cambodia and China featured robot dogs among the systems on display. Meanwhile, in the US, politicians have begun pushing for Unitree to be designated as a federal supply-chain risk, reflecting national security concerns about commercial robotics platforms. This is a very similar move to Poland’s ban on sensor-rich vehicles accessing military sites to limit surveillance risk. Ukraine has successfully deployed ground-based robots and drones in combat operations, marking a significant shift in modern warfare. In a landmark operation in April 2026, Ukrainian forces captured a Russian position using only unmanned systems — the first recorded instance of a robot-only assault in the conflict.

As adoption scales, these risks become interconnected. A vulnerability affecting one platform or vendor could propagate across fleets, sites, or sectors, creating systemic exposure.

At the same time, the pace of commercial development is outstripping regulatory oversight. Bank of America estimates that as many as three billion humanoid robots could be in operation by 2060. This convergence of demographic pressure, advancing AI capabilities, and falling production costs suggests that large-scale human-machine coexistence is highly probable.

Securing embodied AI systems is therefore not a peripheral technical issue. It is a strategic requirement that must be addressed before widespread deployment locks in insecure architectures at scale.

Summary

The United States (US) is shifting toward a more force-driven security strategy primarily relying on military operations and economic pressure to counter transnational criminal organizations and limit Chinese, Russian, and Iranian influence in the Western Hemisphere.

Regional outcomes diverge across three core scenarios:

• US-aligned authoritarian cooperation with fragile stability
• Political fragmentation enabling criminal expansion and governance breakdown
• A strategic realignment toward BRICS that reduces US influence and increases great power competition

Each scenario increases the risks of political instability, regulatory fragmentation, and cyber threats, including increased surveillance, cybercrime, and targeting of critical infrastructure and multinational businesses.

Analysis

The US 2025 National Security Strategy formalized a shift toward hemispheric priorities and narrower strategic objectives. This shift had been building throughout President Donald Trump’s first term:

• January 2025: An executive order formally designates cartels as foreign terrorist organizations.
• August 2025: The president signed a classified order directing military action against cartels beyond traditional law-enforcement frameworks.
• September 2025: US forces carried out the first strike on alleged drug-trafficking vessels. Since then, more than two dozen kinetic strikes in the Caribbean and Eastern Pacific have resulted in over 100 fatalities.
• December 2025: The US begins seizing oil tankers accused of sanctions evasion.
• January 2026: The US launches a special operation to capture and extract Venezuelan President Nicolás Maduro to face drug trafficking charges in court.
• March 2026: The US launches the “Shield of the Americas” initiative, intended to counter drug trafficking, transnational criminal networks, and illegal migration in the Western Hemisphere. In an address to Congress two weeks later, the commander of US Southern Command reinforced a greater military role in countering foreign terrorist organizations (FTOs) and managing other security priorities in the region.

Taken together, these moves suggest a shift from a law-enforcement-led regional security model toward more overt coercion driven by military intervention.

At a strategic level, US objectives remain centered on limiting transnational criminal activity and countering external competitors. Transnational criminal organizations are framed as a primary threat vector due to their role in narcotics trafficking and financial crime. China’s growing economic presence, anchored in trade and Belt and Road Initiative (BRI) infrastructure, is also seen as a threat to US interests. Russia and Iran maintain more targeted but persistent footholds, particularly through surveillance coordination in Nicaragua, Cuba, and Venezuela. US policy is oriented toward constraining adversary influence while reinforcing its own economic and security partnerships. The US is pursuing these objectives through a combination of expanded military operations, law enforcement activity, and coercive economic measures, including tariffs and sanctions tied to political alignment.

Scenarios

The shift toward prioritizing US influence in the Western Hemisphere over other national security objectives will likely reshape the regional risk landscape. To assess the potential medium-term outcomes, Recorded Future identified key drivers and established baseline assumptions that underpin scenario development.

The following scenarios explore potential outcomes as the US reorients its security strategy toward the Western Hemisphere:

Scenario 1: Initial Authoritarian Stability

In this scenario, the US successfully asserts influence over historically adversarial authoritarian regimes, notably Venezuela and Cuba. These governments pivot toward cooperation with the US on trade, energy, and security, while maintaining repressive political systems domestically. US intervention has already reshaped Venezuela’s leadership and opened pathways for Western energy investment, while Cuba has responded to continued pressure by showing openness to economic reforms. Meanwhile, democracies like Colombia and Ecuador may adopt more coercive internal security postures, particularly in states facing cartel violence, in response to US pressure.

The US takes more aggressive measures to deter and counter non-Western infrastructure investments, leading to a relative diminishment in the influence of China and Russia as US engagement deepens. However, both powers will likely retain significant hemispheric influence and may pursue limited, asymmetric responses rather than direct confrontation.

Scenario 2: Fragmentation and Criminal Expansion

US intervention produces a political backlash, weakening democracies and fueling the collapse of transitional regimes. Inconsistent or heavy-handed military actions against alleged criminals increase public outrage, leading to electoral turnover and instability. As governments escalate repression to maintain control, resistance movements and localized violence intensify, further eroding state authority. This dynamic creates governance vacuums that strengthen TCOs, particularly in border regions. In this environment, cartels and armed groups re-emerge as dominant power brokers, reversing gains in regional security and leading to a resurgence in criminal activity and violence.

Scenario 3: Accelerated Pivot to China

The US’s overreliance on military solutions at the expense of soft power enables China to position itself as an appealing alternative partner by offering positive incentives and stable, long-term policy-making. As a result, LATAM governments across the ideological spectrum quietly accelerate their pivot toward China, building on existing trade and investment ties. As this trend continues, LATAM governments feel emboldened to adopt more overt mechanisms to resist US influence, including legal challenges to military operations and regulations targeting US companies. Both China and Russia are able to increase their economic footprint and political influence in the region, especially if the US becomes less willing to maintain a consistent security presence.

Outlook

The scenarios are not mutually exclusive: multiple outcomes can play out in different countries or regions across Latin America. Below are key indicators to monitor to anticipate which outcome is more likely to emerge:

• Election Outcomes: Colombia, Peru, and Brazil all have elections in the next year; a change in leadership may reflect popular dissatisfaction with the current government’s foreign policy, precipitating a policy shift. Furthermore, a decisive Republican defeat in the US midterms may reduce appetite for foreign intervention, leading to inconsistent policy.
• US Intervention in Cuba: The US government is strongly signaling its intention to replace or significantly reform Cuba’s long-standing Communist regime. The success of the operation and the willingness of the US to back a transitional or reform government will determine which scenario described above plays out.
• LATAM Security Cooperations: Criminal groups and militias thrive in contested or under-governed regions, such as along borders. Look for signed agreements and joint operations as signs of cooperation — or the lack thereof signalling potential breakdown in security coordination and a greater likelihood of criminal expansion.
• The China Alternative: While China is likely to want to avoid direct confrontation over influence in the Western Hemisphere, the CCP may seek to offer more positive incentives to increase its economic footprint in the region, such as continued investments in ports, telecommunications, and other critical infrastructure.
• The War in Iran: Even though it’s happening on the other side of the world, the Iran war is likely to shape how the US pursues military operations in the Western Hemisphere. Battlefield setbacks could decrease appetite for military intervention, or energy security pressures could increase the imperative to ensure influence.

Mitigations

• Strengthen cyber resilience and third-party risk management: Enhance monitoring and defenses for critical infrastructure, telecommunications, and cloud environments. Use Recorded Future’s Geopolitical Intelligence module to understand the surveillance risk in countries where you operate. Conduct regular assessments of vendors and partners to reduce exposure to espionage, surveillance, and cybercrime.
• Prepare for regulatory fragmentation and data localization requirements: Develop flexible compliance frameworks that can adapt to diverging data sovereignty laws, sanctions regimes, and trade restrictions. This includes establishing localized data storage where necessary and maintaining legal contingency plans for rapid policy changes.
• Enhance crisis response and continuity planning: Build scenario-based contingency plans for political instability, violence, or infrastructure disruption (such as internet outages or supply-chain interruptions), which are routinely monitored in the Geopolitical Intelligence module. Contingency planning should include evacuation preparation, alternative logistics routes, and redundant communications systems to ensure operational continuity across volatile environments.

Further Reading