And weapons companies better than anti -virus? The expert explains

We talk with Łukasz Strzelecki, Business Development Manager SoftProm Poland Sp. z o. o.

Beata Anna Święcicka, “Wprost”: What companies and in what space do artificial intelligence support with?

Łukasz Strzelecki, SoftProm Poland: Artificial intelligence changes the way companies operate – from data analysis, through process automation, to customer service. Not only corporations, but also small and medium -sized companies reach more and more often after AI. And although the potential is huge, threats are equally great.

Data analysis, process automation or customer service mentioned by you is associated with the fact that AI systems often process sensitive, commercial or personal data. Is it safe?

Incorrect management can lead to leaks, abuse or susceptibility to attacks. Data Poisoning (poisoning data teaching models) or the Inversion model (recovery of input data based on AI answers) are becoming more common. At the same time, cybercriminals also use AI to create advanced phishings, deepfakes and automatic attacks. According to Verizon DBiR 2024 data, over 60 percent Incident is affected by small and medium -sized companies, which often do not have extensive security structures.

Can SMEs afford to protect against this type of cyber attacks?

Today, each, even a small company can have its own SOC in the SaaS model and advanced xDR protection, e.g. such as the 360 ​​Aknet, which in the independent report of Mitre Att & CK Evalations is placed on leading places in the field of detection and reaction. Importantly – the cost of its implementation does not exceed the price of classic premium anti -virus software.

Does this system use AI?

Yes – Aknet itself 360 uses artificial intelligence to analyze behavior, correlate of events and automatic response to real -time threats. AI works here like a digital security analyst – learning patterns and reacting quickly where the human team could be late. This shows that AI not only creates a risk, but – properly implemented – it can be one of its most effective slashs. From the perspective of the Security Operations Center (SOC) teams, the AI ​​risk management approach becomes key. This means the need to monitor not only IT infrastructure and data, but also the so -called AI Pipelines – i.e. the entire chain of data processing, training and implementation of models. In practice, this means the integration of logs from ML/AI tools to SIEM class systems, strengthening access control rules (IAM) and creating dedicated correlation rules for AI-Related incidents.

Can companies still “experiment” with AI without adequate security today?

AI cannot act outside the safety structure – it must be part of it. In the era of digital transformation, resistance to threat does not depend on the size of the organization, but on its safety architecture, awareness and readiness to respond.

Thank you for the interview.