Attacks on critical infrastructure in LATAM grew 40% in the last year, according to data from the Fortinet Threat Intelligence Report. At the same time, AI is transforming both sides of the board: it powers automated attacks, but it also multiplies the detection and response capacity of security teams.

The news that accelerated the topic on the global agenda: an Anthropic AI model found 271 vulnerabilities in Firefox (The Verge, May 7, 2026). If an AI can detect bugs at that scale and speed, the role of security analysts can no longer be thought of without incorporating AI as a central tool of daily work.

Why cybersecurity with AI is the fastest-growing tech sector

The convergence of three factors is driving the demand for cybersecurity professionals in Argentina:

• Larger attack surface: the proliferation of APIs, microservices, and IoT devices expanded the entry vectors for malicious actors across all industries.

• More sophisticated attacks: AI-generated phishing and automated attacks at scale require equally intelligent responses.

• Growing regulation: new regulatory frameworks in Argentina and the region demand more robust compliance and incident response teams at companies of all sizes.

The result: the shortage of cybersecurity talent in LATAM exceeds one million unfilled positions, according to the ISC2 Cybersecurity Workforce Study. Demand far exceeds the supply of trained professionals.

AI detection tools that lead the market

Darktrace

Darktrace uses unsupervised AI to model the "normal" behavior of each entity on the network —users, devices, services— and detect anomalies in real time. It's especially effective at detecting insider threats and zero-day attacks that have no known signature in traditional databases.

SentinelOne

SentinelOne combines endpoint detection and response (EDR) with behavioral AI. Its Singularity module can neutralize attacks autonomously without human intervention, which drastically reduces the containment time for active incidents.

CrowdStrike Falcon

CrowdStrike is the de facto standard in advanced threat detection. Its Falcon platform uses machine learning to correlate attack indicators on a global scale and anticipate campaigns before they reach local organizations.

Most in-demand roles in Argentina

The training path in cybersecurity with AI

There is no single path, but most professionals who enter the sector follow a similar progression:

• Technical base: networks, operating systems (mainly Linux), TCP/IP protocols, and programming fundamentals. Python is the most used language in security analysis and automation tools.

• AI knowledge: understanding how anomaly detection, malware classification, and log analysis models with machine learning work.

• Certifications: CompTIA Security+, CEH (Certified Ethical Hacker), and CISSP for senior profiles are the most valued in the Argentine market.

• Real practice: platforms like HackTheBox, TryHackMe, and CTFs (Capture the Flag) are the environment where offensive and defensive skills are developed.

If you're interested in understanding how AI is generating new tech roles, you can also read about what a Prompt Engineer does in Argentina and how much they earn: another emerging profile where AI and technical work combine directly.

AI and development training at Coderhouse

To enter the world of AI-powered cybersecurity, the technical base matters as much as the sector-specific knowledge. At Coderhouse you have options to build that base:

• Introduction to Artificial Intelligence Course: fundamentals of ML and the models used in threat detection and security analysis.

• AI Engineering Course: for developers who want to build security analysis tools with LLMs and integrate AI into detection pipelines.

• Full Stack Development Career: the programming base needed to work with automation and analysis scripts in Python, the reference language in security tools.

Frequently asked questions

Do I need to know how to program to work in cybersecurity?

Not for all roles. Profiles like GRC Analyst or compliance require more regulatory than technical knowledge. But for roles like pentester, threat intelligence, or cloud security engineer, Python and the handling of command-line tools are almost mandatory skills.

How long does it take to train in cybersecurity?

With consistent dedication, a person without a technical base can be ready for a first entry-level role (like a SOC analyst) in 12 to 18 months. Those who come from the IT or development world can accelerate that path to 6-9 months with a focus on the right certifications.

Will AI replace security analysts?

No, but it will radically change what they do. AI handles alert triage, event correlation, and automatic response to known threats. Analysts focus on investigating new threats, forensic analysis, and strategic decision-making that requires context and human judgment.

What are the most valued certifications in Argentina?

For junior profiles: CompTIA Security+ and eJPT (eLearnSecurity Junior Penetration Tester). For intermediate profiles: CEH and OSCP (Offensive Security Certified Professional). For senior: CISSP and CISM. The OSCP is especially valued for offensive roles because it validates real practical skills in controlled environments.

Is there real demand at Argentine companies or only at multinationals?

Demand exists in both segments. Multinationals look for specialized profiles with international certifications. Medium companies and startups look for more generalist profiles that cover everything from firewall configuration to incident response. The local market is growing rapidly as attacks on organizations of all sizes increase.

What programming language is most important for cybersecurity?

Python is the most used in security scripting, log analysis, and tool automation. Bash and PowerShell are essential for sysadmins and SOC analysts. For exploit development and malware analysis, C and C++ remain relevant. Starting with Python and Linux is the safest bet for those coming from the development world.