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AI and Cybersecurity: From Living Rooms to Global Networks

In my current work integrating AI into creative and narrative processes–tools that blend photography, storytelling, and generative models–I’ve seen firsthand how quickly AI systems evolve. They learn. They adapt. They anticipate. While my applications may be artistic, the implications for cybersecurity have become impossible to ignore.
We are now at a turning point, reminiscent of the first wave of malware hidden in bootleg software. Back then, the danger was clunky but effective. Today, AI doesn’t arrive via floppy disk–it’s already installed in our homes, embedded in devices we use daily, and it’s opening the door to a new era of vulnerability.

Personal AI, Real-World Risk
AI is no longer confined to enterprise environments. It’s answering homework questions, helping manage grocery lists, editing photos, and finishing sentences. But these systems aren’t just helpful–they’re observant.
Unlike traditional malware, AI doesn’t need access credentials or direct commands. It learns through interaction. It picks up on tone, phrasing, daily rhythms, even emotional patterns.
For those of us in the cybersecurity space, the shift is clear: The perimeter has moved. And the new endpoint might be your kitchen speaker, your partner’s chatbot, or your teenager’s AI homework assistant.

The Home-Corporate Link: New Attack Surfaces
As home networks became essential to corporate operations during the pandemic, we created bridges between personal life and professional infrastructure. AI expands that bridge exponentially.

Today’s risk vectors include:
– A spoofed voice command to a smart speaker that picks up sensitive conversations
– Prompt injection attacks on consumer AI apps that expose behavioral data
– AI-generated impersonation via deepfakes or synthetic text, capable of bypassing multi-factor authentication
This is not a hypothetical. These threats are active and growing. And as AI becomes part of daily life, the distinction between home and enterprise security collapses.

AI-Specific Threat Models
We’re seeing the emergence of threats that don’t rely on traditional exploits. Instead, they use influence, manipulation, and pattern recognition:
– Prompt-based exploits: Malicious actors feeding phrasing to AI models to bypass filters or leak information
– Data poisoning: Skewing AI learning systems through repeated, biased, or malicious input
– Synthetic identity fraud: Creating personas realistic enough to bypass onboarding and vetting systems
This new generation of attacks doesn’t need admin rights. It just needs access–and access is often freely given.

Redefining Cybersecurity for the AI Age
Cybersecurity can no longer be reactive. It must become adaptive and anticipatory. For professionals and families alike, this means:
– Practicing “zero trust” at home as well as in the workplace
– Educating family members about what AI apps do–and what they collect
– Monitoring household devices for unexpected behavior or connectivity patterns
– Using local AI tools when possible and being judicious about permissions granted

On the enterprise level, this includes:
– Training security teams on prompt injection and model manipulation
– Logging and reviewing AI interactions for social engineering attempts
– Advocating for governance frameworks that prioritize personal data protection

Where We Go From Here
The first viruses spread via pirated games and unverified software. The new wave arrives as helpful suggestions, friendly assistants, and auto-complete features.

I believe AI can be transformative–for art, for business, and for life. But it requires new norms, new tools, and a new understanding of what it means to be secure. As someone who straddles the world of AI development and technology communications, I see the need for a broader, more inclusive cybersecurity conversation–one that starts at home but prepares us for what’s ahead.

The firewall isn’t just a tool–it’s a mindset. And in 2025, it starts with how we interact with AI.

About the Author
Paula Phelan is the founder of PiP Art Gallery and a longtime leader in technology storytelling. She has worked with more than 150 technology companies through launch, growth, and acquisition–and continues to explore the intersection of AI, creativity, and security.