AI Cybersecurity: Why the Next Attack on Your Company Will No Longer Be Human
21% of targeted cyberattacks already use artificial intelligence. This is not a five-year projection: it is the figure Publimetro published this very week on the situation in Mexico, and it anticipates what we will see in Spain and Europe. At the same time, a Unit 42 report warned of 13,000 malicious URLs already active that exploit ChatGPT’s “hallucinations” to create “digital squatters” and steal data. And Brussels has just presented its joint cybersecurity and AI plan to turn rules into operational capabilities “before the adversary does”. This is AI cybersecurity in practice: defense that learns and responds at machine speed.
The message for executives is clear: cybersecurity is no longer a race between humans. It is a race between machines, and your company can only defend itself at the speed of its own.
The board changed: AI now attacks and now defends
Until recently, corporate cybersecurity resembled trench warfare: firewalls, antivirus and IT teams reviewing logs against the clock. That model collapses when the attacker uses AI to generate personalized phishing at scale, imitate voices on phone calls (vishing), or find vulnerabilities in minutes instead of weeks.
As expert Jordi Guiu (Level4) recently pointed out in La Vanguardia, “a cyberattack no longer seeks your data, it seeks to paralyze your company”. Ransomware is evolving toward operational disruption: the damage is not only theft, but the inability to invoice, serve customers or honor a contract for days.
The good news: the same technology that empowers the attacker can armor you. The difference lies in who deploys it first and with what governance.
Three fronts where AI is redefining corporate cybersecurity
1. Automated detection and response (XDR + SOAR)
Traditional security operations centers (SOC) generate thousands of daily alerts that a human analyst cannot triage. XDR (Extended Detection and Response) platforms correlate network, endpoint and cloud data, and SOAR engines execute automated responses: isolating a compromised device, blocking an IP or revoking a session in seconds. Prosegur, for example, has just reinforced its cyber-surveillance with xCope, integrated into its SOC by xMDR service.
2. The next wave: AI-generated patches
For decades, finding a serious vulnerability in production code was weeks of “craft work”. That balance has been broken: the new generation of AI tools locates flaws and proposes automatic code patches. Whoever automates remediation will gain months of advantage over those patching by hand. For an SME with a single systems manager, this capability is the difference between being vulnerable and being resilient.
3. Phishing, deepfakes and industrial-scale scams
Meta has just activated “Scam Alert” on WhatsApp to detect scams without breaking encryption, and ChatGPT’s “digital squatters” show that malicious content is now self-generating and self-replicating. The “badly written” email is history: today the attack perfectly imitates your CEO’s tone. Defense comes down to training your own models to detect behavioral anomalies, not just malware signatures.
Digital sovereignty: the new non-negotiable requirement
Modern cybersecurity is inseparable from where your data lives. This week, Nunsys Cloud inaugurated a data center in Paterna (Valencia) with €10 million to meet the demand for AI and sovereignty, and the Generalitat announced a €481 million sovereign public cloud. The message is collective: entrusting critical data to opaque infrastructures is a compliance risk (NIS2, GDPR, financial sector).
For BAOSS, the security architecture must be designed alongside the cloud architecture, not after it. Layered defense (which we have already explained on our blog) is now completed with intelligent defense: local models or sovereign environments that do not export your sensitive information outside your perimeter.
BAOSS’s role in AI cybersecurity: from layered defense to intelligent defense
At BAOSS we help companies of all sizes make the leap from “having tools” to “having operational intelligence”. Our approach combines three pieces:
- Maturity diagnostic: we map your real attack surface (not the one you think you have) and prioritize by business impact.
- Response automation: we connect your data sources to a SOC with SOAR rules to act before the incident escalates.
- AI governance: we deploy internal assistants and agents that support the security team without sending data outside your infrastructure.
We do not sell “a magic tool”. We design processes where technology reduces noise and professionals make the decisions that matter.
Five steps to get started this week
| Step | Action | Impact |
|---|---|---|
| 1 | Inventory critical assets and data | Know what to protect before spending |
| 2 | Enable MFA and identity management | Closes 80% of unauthorized access |
| 3 | Deploy XDR/EDR detection | Real-time visibility |
| 4 | Automate response (SOAR) | Containment in seconds, not hours |
| 5 | Train the team in offensive AI | The human factor remains key |
80% of HR departments in Spain are still in early stages of digitalization, and the same goes for security culture at many SMEs. You do not need to be a multinational to start: you need a roadmap and a partner to execute it with you.
Conclusion
Artificial intelligence is not just a productivity opportunity (as CaixaBank shows by deploying AI agents, as do companies cutting costs with open models). Above all, it is a new dimension of risk. Those who integrate cybersecurity and AI from the design stage will not only survive the next attack: they will turn their resilience into a competitive advantage.
Want to know your company’s maturity level? At BAOSS we prepare a quick diagnostic and a tailored action plan.
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