
Our perception of risk has undergone a fundamental transformation, and the "streetlights" analogy is the perfect lens through which to view it.
In the past, risk was largely perceived as tangible, physical, and local. When kids roamed the neighborhood, the "streetlights" were a simple, visible boundary for a known environment. The primary risks were a scraped knee, a run-in with a neighbor's dog, or a minor fight. The dangers were immediate, understandable, and, for the most part, recoverable. The community was a default safety net, and the unknown was limited to the next block over.
Today, our perception is shaped by two profound shifts: the globalization of information and the digitization of our lives.
The 24/7 news cycle and social media have collapsed the distance between us and every worst-case scenario on the planet. We don't just worry about the next block; we internalize the fear of an event that happened 3,000 miles away, presented as if it's an immediate and probable threat to us. Our perception of "stranger danger" has become amplified to the point where the 99.99% of safe interactions are overshadowed by the 0.01% of horrific, but rare, events. We've traded a statistical understanding of risk for an anecdotal one.
This same perceptual shift has re-engineered how we approach risk in our professional lives.
Decades ago, business risk was like the "scraped knee." It was tangible: a factory fire, an injured worker, a bad product batch, or a local competitor undercutting your price. The "streetlights" were your known market, your physical office walls, and your industry's regulations.
Now, the greatest risks are invisible, asymmetrical, and global. The "stranger" isn't the person walking by; it's a hacker in another hemisphere. The "danger" isn't a physical break-in; it's a reputational crisis ignited by a single tweet. The "boundary" is no longer the office wall; it's a porous, ever-shifting firewall that every employee carries in their pocket.
We've moved from managing the risk of physical assets to managing the risk of abstract ones: data, reputation, and intellectual property.
The consequence of this shift is a culture that often defaults to risk elimination rather than risk management. We've become so afraid of the amplified, low-probability, high-impact events that we stifle the high-probability, necessary-for-growth activities. We build processes to prevent the 0.01% catastrophe, but in doing so, we often paralyze the 99.99% of daily work, innovation, and autonomy.
When organizations treat every risk as catastrophic, they:
Our challenge isn't to be nostalgic for an era of simpler risks; it's to recalibrate our perception. We must learn to differentiate between a digital "scraped knee"—a small, recoverable failure that teaches a lesson—and a true, catastrophic threat.
We need to use the same data that floods us with fear to instead bring us clarity:
The organizations that will thrive are those that can:
The "streetlights" of the digital age aren't about creating rigid boundaries—they're about creating intelligent systems that help us navigate ambiguity. They're about building organizations that can distinguish between a digital scraped knee and a true threat, and that give their teams the autonomy to innovate within intelligently managed risk parameters.
The future belongs not to those who eliminate risk, but to those who can assess it accurately, manage it proportionally, and use it as a catalyst for competitive advantage.
It's time to turn on the right streetlights—the ones that illuminate the path forward, not the ones that keep us frozen in place.

Ryan previously served as a PCI Professional Forensic Investigator (PFI) of record for 3 of the top 10 largest data breaches in history. With over two decades of experience in cybersecurity, digital forensics, and executive leadership, he has served Fortune 500 companies and government agencies worldwide.

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