We’ve spent years treating prevention as the endgame: block the attack, and the problem disappears. But that model is starting to break. The environment it was built for no longer exists. Attackers aren’t just finding ways around security controls. They’re running social engineering scams inside them, using the same tools, workflows, and signals against us that we’re supposed to trust. And while attackers have adapted quickly, many security programs haven't kept pace. It's showing up in the data. In a recent report, only 8.9% of teams named phishing and social engineering as their biggest preparedness gap, which means most feel covered. That confidence is the gap. The threat has expanded well beyond what most security programs were built to see into identity abuse, trusted platforms, and the everyday workflows teams already trust. Most teams also reported having adequate budgets and mature tooling. So why do positive outcomes still lag while confidence slips? Teams aren’t behind because they don’t care or don’t work hard. They’re behind because attackers are targeting trust on an unprecedented scale and scope. It’s hitting every aspect of your digital world: identities, AI platforms, developer platforms, business software, and the workflows that keep organizations running. They’re operating in a way that makes social engineering compromise inevitable, not preventable. Resilient teams are recognizing this shift and taking steps toward a security model built for today’s threat landscape. Trust in identities: When "real" isn't real anymore The definition of a "trusted identity" is getting harder to pin down. Deepfakes push attacks well beyond email. Attackers are using AI to impersonate executives, IT staff, and even job candidates. They build rapport over time with cloned voices, then add video to lend credibility to requests that would otherwise raise red flags. That doesn't mean every organization is suddenly facing Hollywood-grade live