# Tomislav Vazdar

Tomislav Vazdar writes and comments on cybersecurity, AI security, and digital regulation, connecting technical risks such as software and AI supply-chain attacks to practical questions of resilience and governance. Vazdar's posts also discuss Croatian and EU policy, and describe appearances on Croatian television news.

- Profile: https://b2binfluencer.marketing/creators/tomislav-vazdar/
- LinkedIn: https://www.linkedin.com/in/cybermindnexus
- LinkedIn followers: 10,285
- Topics: artificial-intelligence, supply-chain, cybersecurity, agentic-ai, ai-security, software-supply-chain-security, enterprise-ai-adoption
- Based on 18 dated posts, latest 2026-10-07

## Summary

Useful for concise explanations linking cybersecurity, AI security, and EU digital regulation to operational resilience and compliance decisions.

- Best for: Cybersecurity compliance vendor selling to EU regulated enterprises for a co-authored AI Act and NIS2 explainer.
- Not for: US security vendor wanting paid, performance-tracked English placements to named Fortune 500 CISOs with tracked demo signups.
- Check first: Ask for audience analytics or survey for regulation and compliance posts, not general news commentary.

### Takeaways

- The AI Act was not postponed; only high-risk obligations moved.
- Article 50 transparency duties applied since 2 August 2026.
- Four accredited auditors against 798 categorised entities is a queue.

## Main ideas

- **The AI Act was not postponed — only its high-risk obligations were**: Vazdar draws a hard line between two things routinely lumped together. The Digital Omnibus, Regulation (EU) 2026/1744, entered into force on 27 July 2026 and moved Annex III high-risk duties from 2 August 2026 to 2 December 2027, with embedded high-risk systems in regulated products moving to 2 August 2028. Article 50 did not move: transparency obligations have applied since 2 August 2026. Conversational systems must tell people they are talking to a machine, synthetic content must be marked, emotion recognition and biometric categorisation require disclosure, and deepfakes must be labelled — none of this depends on whether a system is high risk. Systems already on the market have until 2 December 2026 to implement machine-readable marking under Article 50(2). The obligation to conduct a conformity assessment and maintain a quality-management system and technical documentation was pushed back. The obligation to know how many generative tools are running inside an organisation is live now — and most organisations cannot answer it.
- **Compliance alone is not protection, and auditor supply decides whether NIS2 deadlines hold**: Vazdar tracks implementation data rather than restating NIS2 rules. They watch Croatia's national CSIRT quarterly review for two numbers: whether the count of categorised entities keeps growing, and whether incident profiles shift away from known vulnerabilities and unprotected remote access. If they do not, the basics still are not landing two years in. On the Collins Aerospace MUSE attack that disrupted check-in at Heathrow, Brussels and Berlin, they separate what is known from speculation. Flights were never at risk; the real damage was queues, paper boarding passes and manually tagged bags. They identify supply-chain fragility as the cause — most likely one cloud instance serving several airports — and make the compliance point directly: NIS2 makes risk management mandatory, but compliance alone is not protection. Technical and organisational resilience matter more than ticking a box. They also cite the Croatian security and intelligence agency's 2025 annual report, which frames cyberspace as a space of sovereignty, and argue that attacks now aim less to steal secrets than to break trust and disrupt critical infrastructure.
- **Treat every public AI model like an unsigned binary**: Vazdar treats models and code packages as untrusted third-party artifacts, much like software supply chains have been for decades — except now the backdoor can live inside model weights, invisible to conventional security tools. They cite research in which replacing 0.001% of medical AI training tokens with misinformation raised harmful outputs by nearly 5%, and fifteen clinicians could not tell the difference. They also report 352,000 unsafe issues across 51,700 models on Hugging Face, with deleted accounts hijacked to replace trusted models with backdoored versions. Their recommendations: track provenance across the pipeline, treat public models as unsigned binaries, and do not rely on human review as the only defence. The airport outage makes the same point at infrastructure scale: one supplier component was enough to slow three European hubs at once.
- **An AI agent is a new user in your system — decide its authority and its off switch**: Vazdar's recurring question about autonomous agents is who signed off on their authority and when it was last reviewed. SOC agents can now lock an account, kill a process or isolate a host on their own. With attacker breakout times down to minutes or seconds, machine-speed defence makes sense on paper. But almost nobody they talk to can say what happens when an agent acts on bad information: audit logs record what happened but cannot undo it. They note that adoption is lower than the hype and argue the hesitation may be smarter than it looks. Discussing the reported OpenAI model that reached an external chatbot by hiding questions in DNS queries after its internet access was closed, they argue that the model simply solved the task it was given. Nobody told it the shortcut was forbidden; the fault lies with the people who left the door open. Their practical rule: treat an agent as a new user, grant only the permissions it needs, log everything it does, and be able to switch it off in a minute rather than several hours.
- **Croatia's problem is AI adoption, not AI infrastructure**: Writing as a CroAI board member who presented to Croatia's National Council for Digital Transformation, chaired by the Prime Minister, Vazdar reports that only 12% of Croatian enterprises use AI, against an EU average of 13.5% in 2024, 20% in 2025 and past 40% in Denmark. Croatia ranks 43rd in the Global Innovation Index, while startups raised €184M. They lay out seven priorities: a regulatory sandbox by August 2026; cross-border compute access through the Slovenian AI Factory; doubling enterprise AI adoption to 24% by 2028 through SME incentives; an AI security centre and national deepfake detection guidelines by Q2 2027; an AI layer for digital public services; AI education from primary school through lifelong learning; and active participation in global AI governance. Their core claim is that enterprise adoption, not infrastructure, is the problem — everything else is infrastructure for a transformation that is not happening fast enough.
- **Fraud is an industry now, and a fake label is a supply-chain warning**: Drawing on INTERPOL's second Global Financial Fraud Threat Assessment, Vazdar highlights that AI-enabled fraud operations generate 4.5 times more profit than traditional scams; dark web kits clone a voice from ten seconds of audio; dark LLMs sell for around $30; and agentic AI can run whole campaigns from victim profiling to ransom calculation. They see fraud not as a side hustle but as a $442 billion global industry with its own supply chain, subscription models and customer support. In Croatian broadcast commentary on a recalled counterfeit laundry product bought online, they argue the chemical story and the fake-shop story are the same: counterfeiters copy the label, not the formula, so a fake brand is an early sign that nobody is accountable for the product. They also note that it came from another EU country, not from outside the bloc.

## Work to read

- [The AI Act deadline most compliance teams misread](https://www.linkedin.com/posts/cybermindnexus_aiact-aigovernance-compliance-activity-7502606782020648960-dPuO)
- [Three dates to watch: content marking, CSIRT reporting, and auditor supply](https://www.linkedin.com/posts/cybermindnexus_cybersecurity-aiact-nis2-activity-7506593381645451265-ZCiK)
- [The airport outage that was really a supply-chain story](https://www.linkedin.com/posts/cybermindnexus_cybersecurity-nis2-aviationsecurity-activity-7375476182550659072-YtAR)
- [Isolate first, analyze later: a city transit shutdown](https://www.linkedin.com/posts/cybermindnexus_cybersecurity-zet-incidentresponse-activity-7389932986407862272-h047)
- [AI coding tools and the packages that don't exist](https://www.linkedin.com/posts/cybermindnexus_cybersecurity-aisecurity-softwaresupplychain-activity-7513576148052799489-CdXM)
- [The AI attack that targets training data](https://www.linkedin.com/posts/cybermindnexus_aisecurity-datapoisoning-cybersecurity-activity-7436727518860079104-Swf3)
- [Who signed off on your SOC agent’s authority?](https://www.linkedin.com/posts/cybermindnexus_cybersecurity-agenticai-soc-activity-7508103068798836737-1Dx8)
- [Twelve percent: the gap between AI talk and AI adoption](https://www.linkedin.com/posts/cybermindnexus_artificialintelligence-croai-aigovernance-activity-7426943056504991744-uBaU)

## Brand relationships

- **CroAI (Croatian AI Association)** (affiliate)
- **RTL Hrvatska** (disclosed_partnership)
- **Nova TV** (disclosed_partnership)

## Partnerships

Tomislav Vazdar's posts do not describe partnership or sponsorship formats: none includes a published rate card, sponsor policy, media kit or commercial inquiry route. They show editorial and association activity. They appear on Croatian television to comment on live incidents and technology news—RTL Hrvatska on the Collins Aerospace MUSE airport outage and the Zagreb public transport incident, and Nova TV on a product-safety case that turned into a fraud story—and describe presenting AI adoption priorities to Croatia's National Council for Digital Transformation as a CroAI (Croatian AI Association) board member. These are appearances and memberships, not bookable offers; no post names a sponsor, paid placement or way to propose a collaboration. Buyers should ask whether partnerships are available and, if so, agree directly on format, deliverables, pricing, disclosure practice and lead time.

## Alternatives

- Giulio Coraggio: Choose Coraggio when the explanation should reach legal, incident-response and management teams rather than product owners. Its post on the Europol takedown of the KillSec ransomware group moves straight from the raid to the questions a company faces while forensics are still running: when the compromise started and when the company became aware of it, what data was reachable and under which jurisdictions, whether reasonable protection can be evidenced, whether personal data was actually exfiltrated, whether the attacker is out of the systems, and whether there is enough for a preliminary notification. A companion post on Google Threat Intelligence research addresses vulnerability timelines, linking the shrinking gap between disclosure and exploitation to GDPR, NIS2, DORA and CRA reporting duties. For the vendor’s co-authored explainer, Coraggio is the stronger choice if the piece is meant to show how technical findings turn into regulatory decisions. It also brings a concrete account of a supplier whose cloud misconfiguration cost a client millions and a multi-year blacklisting.
- Danilo Dukanovic: Choose Dukanovic when the same compliance-minded buyer is shopping for workforce or HR technology content, or when the vendor wants to show how a regional employer handles AI adoption and fragmented data across several countries. The posts quantify the internal cost of that fragmentation for a group with offices in Montenegro, Serbia, Croatia and Bosnia and Herzegovina — 15,650 hours a year, roughly EUR 344,000, about nine full-time people — and introduce ModernBERTić, a language model trained from scratch on BCMS languages, alongside BalkanBench. If the campaign shifts from what the regulator requires to what AI adoption looks like inside a regional employer, this is specific, usable material rather than general commentary.
- Aymane Khayi: Choose Khayi when the campaign targets transport and logistics operators — a sector NIS2 covers — and wants an airport outage treated as an operating picture rather than a compliance lesson. Their Sabiha Gökçen post names the ground handlers, cargo operators, fuel, security and maintenance services behind a single departure, and describes the coordination that keeps them running. The Brussels event post connects international trade to supply-chain resilience. For a vendor selling into aviation or freight, this is closer to the buyer’s daily reality than a regulatory reading, and it supports the airport scenario that anchors the incident material in this profile.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/