As artificial intelligence (AI) becomes increasingly embedded in the fabric of our daily lives, workplaces, and digital infrastructure, AI Appreciation Day presents the perfect opportunity to reflect not only on its transformative power but also the responsibilities that come with it. From cybersecurity to healthcare and beyond, the voices of leading experts in the field offer a clear message: AI has vast potential, but it must be managed wisely.
Satish Swargam, Principal Security Consultant at Black Duck, highlights the growing intersection between AI and software development:
“As organisations embrace AI in enhancing their products and services, AI governance is taking shape and evolving into a practice that will be woven into the secure software development lifecycle. There is a greater and unforeseen impact on human life as AI is widely adopted. AI is a double-edged sword and will impact our day-to-day activities both positively and negatively. As AI is leveraged in making decisions, whether it is simple like where to shop or critical like clinical decisions that impact patient safety, it is important to ensure that AI is used ethically, and that it is fair, transparent, accountable, protects privacy, and is secure, safe, and reliable.”
Swargam also shares compelling data trends that illustrate the pace and breadth of AI adoption among developers:
“76% to over 97% of developers use AI coding tools… 41% of organizations have AI-generated code appearing in weekly production… Google reports over 25% of new code is AI-generated… yet only 43% of developers fully trust AI output accuracy.”
This duality of rapid adoption, coupled with concerns about trust, drives the call for structured governance mechanisms, such as an AI Bill of Materials (BOM). Swargam warns that without proper controls, organisations risk IP violations, data leakage, and over-reliance on AI systems that haven’t been fully vetted.
For Aditi Gupta, Principal Security Consultant at Black Duck, AI’s accomplishments are worth celebrating, particularly in critical areas like healthcare and the environment:
“AI has transformed numerous aspects of our lives, from revolutionising the pharmaceutical sector with faster and more efficient clinical trials to improving medical diagnosis and agricultural productivity. It has also enabled scientists to make significant strides in environmental conservation and even helped translate animal languages.”
Yet, she echoes the importance of security vigilance:
“A single security flaw can render even the most advanced AI system useless, underscoring the need for careful consideration and robust security measures in AI development.”
Dr. Andrew Bolster, Senior Manager of R&D at Black Duck, reflects on the real-world impacts of AI integration, especially in the cybersecurity realm:
“The real impact that we’ve seen on the ‘Rise of the Machines’ in cybersecurity has been both a little more mundane but also much more transformative long term… AI now means that our software engineering teams all have ‘co-pilots’ to rubber-duck their ideas… and talk with our documentation and ticketing systems.”
He notes that AI enables teams to scale expertise, allowing for faster decision-making and deeper insights across customer support, documentation, and product development.
However, Boris Cipot, Senior Security Engineer at Black Duck, is quick to point out that threat actors are also embracing AI:
“Cybercriminals are leveraging AI to automate phishing attacks, bypass traditional defence mechanisms, and create convincing deepfakes.”
Cipot stresses that the only viable defense is proactive security:
“Organisations must adopt proactive security measures… integrating AI-trained security tools to detect AI threats in real-time… and protecting AI models from data poisoning and manipulation through robust DevSecOps practices.”
Javvad Malik, Lead Security Awareness Advocate at KnowBe4, offers a philosophical reminder:
“Undoubtedly AI has delivered on many fronts… However… it cannot replace meaningful human connection. So while we should celebrate the positive impact of AI, we must remain vigilant around its ethical challenges.”
In the enterprise space, Jeremy London, Director of Engineering, AI & Threat Analytics at Keeper Security, highlights the pressing need for secure deployment of AI systems, not just ethical development:
“Security leaders face a dual-challenge… Every AI assistant, script or model interface is a potential point of compromise.”
London calls for Model Context Protocols (MCP) and least-privilege access principles:
“AI agents should be treated like any other privileged user… Failure to implement such safeguards could severely undermine the very data protection frameworks organisations have worked so hard to establish.”
CyberSmart CEO and Co-founder Jamie Akhtar sees AI as a force for good—but not without risk:
“AI, when used thoughtfully, has the potential to be one of the most transformative tools of our generation… But for all its promise, AI also comes with serious cyber consequences if implemented without care.”
He cautions against the growing problem of “Shadow AI”, where employees use unsanctioned tools, putting company data at risk. Guardrails, governance, and good cyber hygiene are key to ensuring AI is a force multiplier, not a liability.
Finally, Ruth Azar-Knupffer, Co-founder at VerifyLabs.AI, encapsulates the sentiment of AI Appreciation Day in a single, poignant observation:
“The future of humanity is now inextricably linked with that of artificial intelligence. That’s why any appreciation of AI needs to be about understanding both the rewards and the risks inherent in this journey.”
AI Appreciation Day isn’t just about algorithms, models, or productivity gains; it’s about how we, as humans, choose to direct the incredible capabilities of these systems. It’s about recognising that AI doesn’t exist in a vacuum; its power is shaped by our intent, its safety depends on our governance, and its success hinges on our vigilance.
As Satish Swargam rightly noted, trust is the foundation: “The fear of using AI can only be addressed if the output from AI can be trusted. And this trust can be built only with effective governance.” Likewise, Jeremy London cautions us to treat AI agents like any other privileged system, because failure to do so risks undoing decades of data protection progress.
And while Jamie Akhtar reminds us that AI is a “force multiplier,” Javvad Malik urges us not to forget what makes us human: judgment, empathy, and connection. These are qualities that no machine, no matter how intelligent, can replicate.
So today, let’s celebrate AI for all that it has enabled. But let’s also make this a moment of commitment, to build, use, and secure AI systems that are worthy of our trust. Because ultimately, the future of AI is not just about what it can do, but what we choose to do with it.
