Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data breaches hit headlines weekly, and phishing scams evolve faster than we can patch them. Amongst this, passwords feel like relics from the dial-up era. Enter passkeys, a modern authentication solution, and a game-changing shift in authentication that's already being made available by giants like Amazon, Google, and Sony Interactive Entertainment. Passkeys promise phishing-resistant, frictionless logins without the endless "password123?" frustration.

With the growing vulnerability of password-only security systems, your applications, devices, and operating systems would need an authentication system that creates foolproof security. Moreover, as vulnerabilities in cyber ecosystems evolved and password breaches became increasingly common, organizations needed stronger authentication methods to protect sensitive data and user accounts.

Security teams are dealing with a fundamentally different operating environment than they were a few years ago. AI-assisted development is rapidly pushing more code and infrastructure into production, and according to Datadog’s 2026 State of DevSecOps report, 40% of running services have an exploitable vulnerability.

AI is already incorporated into most of your clients’ workflows. Employees are using chatbots and other built-in GenAI tools to draft emails, analyze data and automate work. The challenge? Much of that activity is happening outside your formal security controls, and that creates a new risk layer. For managed service providers (MSPs), the question is no longer whether to secure AI adoption for their clients, but how to evaluate the right AI security solution.

Most vulnerability management programs don’t struggle because they lack visibility. They struggle because they generate more security decisions than humans can realistically process at scale. Modern security teams already have most of the tools they need to find and assess vulnerabilities. Their real operational challenge is determining which vulnerabilities matter, which teams own them, which findings deserve escalation, and which can safely wait.

Reliability leaders and subject matter experts at SREday NYC examined how AI, faster delivery, and complex systems increase the need for grounded operational context.

For years, vulnerability management has been one of the cornerstones of cybersecurity. Organizations scanned their environments, identified weaknesses, prioritized remediation, and repeated the process regularly. That approach still matters. But today's threat landscape has fundamentally changed. Organizations now operate across cloud environments, remote workforces, SaaS applications, identities, endpoints, and increasingly complex networks.

Today, we’re launching BlueVoyant AI. In my first months as CEO, I’ve had the chance to meet with many of you. What struck me most is the scope and importance of what you’re protecting, and how seriously you carry that responsibility. What also came through clearly is that your vision for the future of security aligns with ours.

Your stack has a SAST. A DAST. An SCA. A SIEM. And probably seven more tools your developers have quietly stopped reading alerts from. None of them were built for mobile. That's not a criticism. It's a fact about what those tools were designed to do. They were built for web applications, network infrastructure, and cloud environments, which were the priorities of a different era. Mobile apps came later. And the security tooling never fully caught up.

Fake search ads are paid search placements that impersonate trusted brands, services, or login destinations to redirect users into fraudulent journeys. For enterprises, the risk is not only that attackers buy visibility. It is that they intercept customers at the exact moment those customers are trying to reach the real brand. That makes fake search ads different from many other phishing entry points. The user is not responding to a suspicious message.