Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI agent risk doesn’t emerge in a single moment. It develops over time across configuration changes, runtime behavior, long-horizon tasks, and interactions between agents, users, and enterprise systems. Their behavior and exposure can shift in real time as agents rewrite instructions, update memory, and dynamically alter execution.

AI agent adoption and development are evolving quickly. The tooling used to build agents is improving fast, but the security controls around those agents are often rigid, opaque, or difficult to adapt to real environments. As more teams experiment with OpenClaw, one challenge becomes clear: developers need ways to inspect what agents are doing, evaluate risky behavior, and intervene when necessary.

In most organizations, the largest line item on the balance sheet isn’t technology, it’s people. Labor accounts for 70% of total operating expenses in most SaaS businesses, yet executives often lack a clear view of how that investment translates into productivity, risk exposure, software utilization, and operational efficiency. At the same time, organizations are facing a new wave of hidden costs: These blind spots quietly drain millions from operating budgets.

LevelBlue is proud to announce that Cyber Defense Magazine has named it the winner of its Global InfoSec Awards 2026 for Trailblazing Managed Security Service Provider (MSSP) and Market Disruptor Threat Detection, Incident Response, Hunting and Triage Platform.

Domains are foundational to digital trust. You visit your favorite online store or log in to your email without thinking twice about the web address in your browser. But what happens if that domain has been hijacked and you have just entered your personal information into an attacker’s trap?

We’ve been going back and forth on whether to publish this post. As the maintainers of Kubescape, a fellow CNCF open-source security project, we feel the weight of what happened to Trivy not as distant observers, but as people who see their successes and failures as our own. The Trivy maintainers are our friends. We share the same CNCF community, attend the same KubeCon-s, and fight the same fights (and share the same flights ).

Every major technological shift reshapes the landscape, creating both winners and losers. AI will be no different. The key question is which companies are positioned to capture the value it generates, and which ones may fall behind as it unfolds. If you look at previous technology shifts, the winners were not always the companies building the most visible products. They were often the ones that enabled the shift to happen in the first place, or those that benefited from the structural changes it created.

If your encrypted traffic was captured today, would it still be private in ten years? That question changes the conversation. Leaders are used to asking, “Is it encrypted?” Now they are asking, “How long does it stay confidential?” That is where post quantum cryptography, or PQC, comes in. Its role is to strengthen the foundations of a secure connection by improving how trust is established before any data is exchanged. Today’s encryption still works.

If your organization is evaluating DSPM solutions, you're likely already aware of the core promise: discover sensitive data, understand its risk, and improve your posture. But DSPM's value extends well beyond a single use case or a single team. Security leaders who get the most from their DSPM tool treat it as a cross-functional intelligence layer, not just a compliance checkbox. Below are eight use cases that illustrate how DSPM delivers value across both security and business outcomes.