"Zero trust starts with people who actually trust each other," said Ajay Nyayapathi, a principal security engineer with nearly two decades in cybersecurity. The people who get past a company's defenses are often the ones already inside it: disgruntled employees, careless contractors, and well-meaning colleagues who leave a door open without realizing it. Nyayapathi has spent his career on these threats, the kind that come from people with legitimate access and unclear motives.
Many insider-risk programs fail for one reason: they treat human behavior as a technical variable. Companies pour money into perimeter tools, yet a large share of damaging breaches start with people who already have legitimate access. The real gap is not detection technology. It is understanding how ordinary employees drift toward risky behavior long before any alert fires.
Security teams tend to chase outside attackers while the bigger risk sits a few desks away. Behavioral drift, a rushed file transfer, or a missed change in someone's mood can wear down defenses well before a formal breach occurs. Nyayapathi puts less faith in alerts and more in the relationships inside a company: whether colleagues trust each other, share a clear sense of what is at stake, and talk often enough to catch a problem early.
Employees click on suspicious links. Departing staff copy files "just in case." Trusted managers write passwords on sticky notes. A firewall stops outsiders, but the people already inside have something no outsider does: knowledge of the systems, familiar routines, and the relationships that open doors quietly.
Nyayapathi watches for the signals others overlook, such as logins at odd hours, bulk downloads right before someone takes leave, and files pulled from shared folders in patterns that do not fit the job. Years of leading incident response taught him to read these signs. External attacks make the headlines, but internal lapses tend to cause longer-lasting damage to operations and reputation.
In one case, a quiet manager siphoned customer records over several months without setting off a single alarm. A colleague's attention, not a system, caught it. "People don't set out to betray. They drift when nobody watches," Nyayapathi said. The drift shows up in small ways: skipped training, quick favors for friends, a mood that sours without anyone asking why.
He tries to make that watchfulness routine rather than a chore, so asking a question feels normal, and risks come to light while they are still small. In his view, human instinct catches more than automated suspicion does, and it works best when awareness feels ordinary rather than enforced.
The pattern repeats across industries. In finance, it is a trusted teller manipulating accounts. In healthcare, a departing nurse copies patient data. In tech, intellectual property is walking out through a shared drive. The shape is the same each time: small choices that add up until they are hard to reverse. Nyayapathi's point is to catch that sequence early, before it gains momentum.
Teams work better when people feel safe speaking up. Nyayapathi tries to build groups where an engineer can question a risky move without worrying about the response, and where a manager notices tension before it escalates. When raising a concern earns respect rather than blowback, people do it more often.
He has seen this pay off. A new hire who questioned unusual activity on a file stopped an attempted theft. A supervisor who raised quite a few doubts about a departing colleague blocked a leak before any data left the company.
Leaders set the tone by rewarding candor and explaining why a rule exists, not just that it does. Nyayapathi leans on simple charts and data-flow maps so the same threat reads clearly to an engineer looking at the full system and to an executive who only needs the business impact. When people understand the stakes, they treat the company's data as something worth protecting and become more willing to flag a colleague who has wandered off a secure path before it becomes an incident.
Years of mentoring sharpened the approach. He found that plain language beats jargon, and that an engineer who can brief a board in clear terms does more for security than one who cannot. He points to one crisis where the culture held: open communication surfaced the early warning signs months in advance, quick decisions kept damage and costs down, and the team stayed steady through the uncertainty. Technology alone, he argues, would not have managed it. The lesson he draws is that human connections are what catch risks before they become statistics.
Clear communication matters most when things go wrong. Nyayapathi breaks an incident into plain steps: who acted, what broke, and what happens next. That structure tends to settle a room. He has run responses where calm, specific wording kept panic and rumor from spreading and gave a scattered team something concrete to do.
He recalls one flagged download that put a room on edge. He traced its path across several systems, found the control gaps behind it, and laid out practical fixes on the spot. The tension eased once operations were back to normal and the issue was contained. Moments like that show what he can do under pressure, but he argues the daily habits matter more: short huddles that pick apart near-misses, lessons that move freely between engineers and managers, and newer staff learning from people who have seen it before.
He maps data flows and walks teams through how they actually work, which makes the lessons stick. Open communication caught that kind of drift early in his operations days and headed off breaches before they happened. Dashboards help by showing what is going on beneath the day-to-day noise, and a clear narrative ties the pieces together so engineers, managers, and executives are all looking at the same picture. Regular drills and honest feedback keep those skills current and help a team respond as one, which raises readiness in a way no tool can on its own.
Nyayapathi sums up his approach in a rule he teaches every team: "Access creates opportunity, but culture determines intent." Tools can flag an anomaly, but only a person can read motive, and motive is where insider risk lives. It shapes how he asks leaders to read patterns, question their assumptions, and step in early.
For organizations that want to strengthen their defenses, he offers four practical steps. The first is to hold monthly "near-miss" reviews in which teams discuss small mistakes openly without assigning blame. The second is to have managers, not just HR, check in with departing employees during their final two weeks. The third is to map data-flow ownership so every team knows exactly what it is responsible for and why that matters. The last is to make small interventions normal, whether that is a quick question, a nudge, or a short clarifying conversation, since those minor moments are often what prevent major incidents.
He is optimistic about where this leads, toward workplaces where trust runs through every level, and people protect what they understand. He has built his career on those relationships rather than on any single tool. Insider threats are not going away, and people do fail under pressure, but he believes that trust, culture, and communication remain an organization's best protection.
"Technology detects anomalies," Nyayapathi said. "People detect intent, and intent is where every insider-risk story begins and ends."
His message is consistent: put people first, and the safeguards tend to follow.