Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A Critical Look at OpenClaw and NemoClaw

Surprise, surprise, agentic AI is advancing very quickly, and security isn’t quite keeping up. While most attention in recent times has focused on improving model capability, we’ve often been left wondering how to actually make these systems safe enough to trust with real-world tasks and limited interaction. This challenge has become particularly evident with the rise of platforms like OpenClaw, where autonomous agents can execute multi-step actions with minimal human oversight.

SecurityScorecard Weekly Brief: The Adversary Insights Edition with Steve Cobb

This is SecurityScorecard's Weekly Brief: The Adversary Insights Edition with SecurityScorecard's CISO Steve Cobb. Critical infrastructure security in the U.S. remains an important element of the ongoing conflict between the U.S. and Iran with Iranian-linked threat actors targeting US-based assets. Iranian threat actors have focused their efforts on the fastest methods of attack by searching for what Cobb calls “low hanging fruit” in critical infrastructure environments where many organizations have exposed systems.

The Future Is Cyber Risk Intelligence

Risk is expanding faster than most organizations can measure it, communicate it, and act on it. The convergence of AI, an ever-expanding attack surface, and deep, often hidden supply chain risks—extending into third-, fourth-, and fifth-party connections—all pose strategic and material risks to companies. Security leaders are ultimately looking for better ways to identify risk, prioritize action, and support stronger risk decisions across the entire business ecosystem.

The NVD Funding Crisis Was Bigger Than Mythos

Everyone is calling Claude Mythos a watershed moment. I’d like to offer a slightly different take. Not because the capability isn’t real, it is. But if Mythos is the moment that finally convinced your organization that rapid vulnerability discovery is an existential threat, you’ve been watching the wrong thing. We saw this coming. Vulnerability Management has been moving in this direction for years, and we built Nucleus with this trajectory in mind. What surprises me is the surprise.

AI Governance and Risk: Expert Insights for Enterprise Leaders

‍ As GenAI tools become embedded in core business operations, the governance programs meant to oversee them are still catching up. Closing that gap requires visibility into where AI operates and the ability to express exposure in financial terms that leadership can act on. The organizations best positioned to manage AI risk are those that have already started treating it as a measurable business variable rather than an abstract operational concern. ‍

You Can't Patch Your Supply Chain So Why Treat It Like a Vulnerability Problem?

For years, vulnerability management has followed a familiar pattern: discover assets, scan for CVEs, prioritize by severity, and remediate what you can. That model works, at least within the boundaries of systems you own. The problem is that most organizations no longer operate within those boundaries. Federal agencies especially depend on a complex ecosystem of SaaS platforms, software vendors, contractors, and open-source components.

The Context Gap: How Nearly Half of Your Time is Lost to Investigation

The classic tradeoff in cybersecurity has always been simple: more visibility at the cost of speed. But today, that tradeoff is breaking down. As attackers leverage AI to find and exploit vulnerabilities at unprecedented scale, the sheer volume of alerts is burying security teams. The result? An expanding exposure gap. It is taking longer than ever to triage and remediate threats, creating a dangerous window between when a tool pings and when a human in the SOC can actually take action.

AI With Intention: Visibility Drives Action: Strengthening Cyber Risk Management with Better Data

As organizations shift to cloud services and third-party vendors, maintaining visibility and control over cyber risk has become increasingly complex. In this video, we explore one of the biggest challenges facing security leaders today: how to manage cyber risk without full visibility into your environment. Learn why visibility is critical to effective cybersecurity—and how the right data enables organizations to.

Data Sets the Course: Why Cyber Risk Management Starts with Better Data

The cyber risk landscape is evolving faster than ever—creating new challenges for organizations trying to maintain visibility and control. In this video, we explore why data is the foundation of effective cyber risk management. As risk becomes more dynamic and complex, organizations must be able to: Respond to threats as they emerge—not after the fact Without high-quality, actionable data, managing cyber risk simply isn’t possible.

Evolve With Your Vendors: Why Vendor Risk Changes Over Time-and What to Do About It

Vendor relationships don’t stay static—and neither does the risk they introduce. In this video, we break down a common misconception in third-party risk management: that vendor risk remains constant after onboarding. The reality? As vendors grow and their digital footprint expands, risk increases over time. Learn why organizations must move beyond point-in-time assessments and adopt a more modern approach to vendor risk management.