SECNORA® is a CREST Accredited cyber security focused consulting firm with expertise in Information Security and Governance, Risk, Compliance.
Artificial Intelligence is no longer just an add-on in digital products. It is shaping how apps are designed, how data is protected and how businesses build trust with their users. Organizations across industries are exploring AI in cybersecurity and AI-powered app development to balance innovation with protection.
Qodeca, known for building complex software where sensitive data is central, has seen how AI can unlock new possibilities like personalized services while still meeting strict privacy requirements. Their work reflects a growing need to combine smarter features with stronger safeguards.
On the other side, Secnora focuses on securing this evolving landscape. With expertise in AI-driven cybersecurity solutions, the company helps businesses manage risks, stay compliant and stay ahead of emerging threats. By bringing together Qodeca’s experience in development and Secnora’s perspective on defense, this blog explores how AI is transforming both the creation and the protection of digital products.
To understand how artificial intelligence is shaping both the development of smarter apps and the protection of sensitive data, we spoke with experts from Qodeca and Secnora. Their insights show the real-world impact of AI on cybersecurity and digital innovation.
Qodeca Perspective: Balancing AI Features and Data Privacy
1] Qodeca builds software across industries, where many times, data can be highly sensitive. How do you see AI improving data protection and privacy in these apps, while still enabling features like personalized coaching or telehealth?
Techniques like federated learning or homomorphic encryption allow systems that rely on AI to fulfill privacy requirements. Applying Edge AI processing can further enhance the safety of user data. Combined experience in AI and security helps to overcome challenging scenarios and thus the most important thing is to find suitable partners in the area that can help manage the risks while maintaining elasticity for customer solutions, especially those that focus on personalization.
2] Many modern apps include AI components. When you design a new product, how do you balance the excitement of AI features with the need for security? For instance, what pitfalls must developers watch for when integrating AI modules into an app?
As the market grows, every day new service providers deploy their solutions and make them available to the customers, both individual and enterprise. Due to that security concerns arise as this branch of tech is still undergoing dynamic changes and not everyone is aware of challenges like prompt injections or model inversion. Best practices dictate strict development rules with rate limiting, model versioning or robust audit trails for services. Many times it’s not the service itself that potential attacker values the most but the data itself so let’s all keep focus and base our trust on partners technical capabilities when it comes to safeguarding our value.
3] How should companies manage third-party AI tools? How can businesses avoid introducing vulnerabilities when they plug AI tools into their apps?
I suggest a rigorous vendor screening before going into partnership or service acquisition. It`s not forbidden to ask about safety measures and cross-validating information obtained with experts. If you are not sure, seek someone that knows better and remember… some tools can make mistakes.
4] Can AI help with compliance and auditing in regulated sectors? What role could AI play in helping companies meet legal requirements?
Expanding capabilities of AI tools (LLM/SLMs for example) and the possibility to deploy enterprise grade models that are “adjusted” for set tasks can be a relief when it comes to categorization and exploration of legal requirements. Those tools give users a chance not to go blind into the legal world. They should not be treated as the only source of truth but rather as an advanced dictionary with capability to explain to their users how to tackle their challenges. This way when time comes we can at least be informed about the matter at hand before consulting it with external parties.
5] What AI developments do you think will most impact security for custom apps? Are there emerging technologies (like federated learning on devices, AI-driven authentication, etc.) that Qodeca expects will change how companies secure their products in the coming years?
It`s hard to say as many different companies are pushing their solutions to the market and standardization doesn’t catch up – as usual In my opinion the growth of computational capabilities of devices we use is an interesting possibility since those can handle more and more AI related tasks. Combining this with techniques mentioned in the question might be a hybrid answer to the question.
Secnora Perspective: Using AI to Detect and Prevent Cyber Threats
1] AI is now part of everyday digital life, from apps to workplaces. In Secnora’s view, how is this shift influencing the way companies think about cybersecurity as a whole?
At Secnora, we see AI’s integration into daily life as a double-edged sword. On one side, businesses are adopting AI to improve productivity, decision-making, and customer experience. On the other, they’re exposing themselves to entirely new categories of risk. The mindset shift we observe is that cybersecurity is no longer a “compliance checkbox” but a business enabler and resilience factor. Companies are beginning to recognize that protecting AI-driven systems requires holistic security – from data pipelines to algorithms to user trust. This evolution is making cybersecurity a board-level conversation, not just an IT concern.
2] Attackers are now experimenting with AI to make phishing, malware, and social engineering more convincing. How should businesses prepare for this “AI versus AI” landscape and what role does Secnora see for defensive AI?
The “AI versus AI” battle is already here. Attackers are using generative AI to craft personalized, near-perfect phishing campaigns and to automate malware mutations. To counter this, businesses need to adopt defensive AI that can detect anomalies in real time, correlate signals across multiple layers and adapt faster than attackers can innovate. At Secnora, we see defensive AI as not just a tool but a force multiplier for human analysts – automating noise reduction, enhancing detection accuracy, and providing faster containment. Ultimately, AI will not replace defenders but will give them superhuman scale and speed to fight back.
3] How can AI improve the accuracy and efficiency of vulnerability detection during penetration testing engagements? What are the current limitations of AI based scanners compared to human ethical hackers?
AI is already transforming penetration testing by automating repetitive tasks such as dependency mapping, vulnerability correlation and exploit simulation. It accelerates reconnaissance, reduces false positives and enables us to focus our human experts on higher-value analysis. However, AI-based scanners still have significant limitations. They struggle with business logic flaws, creative chaining of vulnerabilities, and contextual understanding of risk. Human ethical hackers bring intuition, creativity and adversarial thinking – qualities AI cannot replicate today. At Secnora, we blend both: AI for speed and scale, humans for strategy and depth.
4] There is often a fear that AI will replace human decision-making. Do you think cybersecurity is an area where machines can fully take over or does human judgment remain essential?
Cybersecurity will always require human judgment. AI can analyze vast datasets and surface anomalies, but context, ethics, and risk trade-offs are uniquely human responsibilities. Security is not just about stopping threats – it’s about making decisions that align with business priorities, regulatory obligations and human trust. Machines may suggest actions, but it takes a human to understand the strategic implications of those actions. At Secnora, we believe AI will evolve into a trusted advisor, not a replacement.
5] Looking ahead, what role do you see AI playing in shaping the next generation of security practices? Are there particular areas where Secnora expects the most impact?
AI will shape the future of security in three ways:
At Secnora, we expect the biggest impact in attack surface management and threat detection, where AI can continuously monitor, learn and adapt to a changing digital ecosystem. The organizations that thrive will be those that balance automation with human expertise – a principle that guides how we build and deliver our services.
As AI becomes an integral part of both application development and cybersecurity, businesses face the challenge of balancing innovation with protection. Qodeca demonstrates that AI can deliver smarter, personalized applications while maintaining strong data privacy and safeguarding sensitive information. Secnora highlights that AI-driven security solutions are essential to anticipate threats, enhance detection and enable rapid response. These complementary perspectives show that AI influences cybersecurity in multiple dimensions driving smarter products and strengthening organizational defenses. Companies that integrate AI thoughtfully, combining cutting-edge features with robust security and compliance measures will be well-positioned to thrive in the evolving digital landscape.
Expert Credits :
The insights shared in this blog are based on expertise from two leading professionals in the field:
Jakub Kozłowski (Head of AI) at Qodeca, who shared insights on using AI to create smarter applications while ensuring data privacy.
Rajivarnan Raveendradasan (CEO), Secnora, who shared expertise on AI-driven cybersecurity, threat detection and risk management.
SECNORA® is a CREST Accredited cyber security focused consulting firm with expertise in Information Security and Governance, Risk, Compliance.
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