Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Picture a cybersecurity team responsible for protecting a classified military installation in a remote operational theater. No internet connection. No cloud services. Classified and unclassified networks running on physically separate infrastructure. Their security information and event management system has to detect threats, correlate events, and generate alerts with zero external connectivity, for the entire deployment. That is not a compliance checkbox. It is a physics problem.

Security and IT teams know the pattern: work spans dozens of tools that don't talk to each other, and people closest to the problem spend more time stitching together information than acting on it. Whether the job is provisioning access, triaging an anomaly, or closing out an incident, the reality is fragmented handoffs and brittle scripts. The data backs this up.

Modern adversaries are accelerating attacks across identities, endpoints, cloud environments, and SaaS applications, often moving faster than security teams can respond. Identity has become a primary attack vector as attackers leverage credential abuse to evade detection and expand their foothold. Stopping today’s threats requires visibility and context across every domain to accurately assess risk before adversaries can move laterally.

Identity verification helps prevent fraud by requiring would-be fraudsters to verify that they are real people and who they say they are. But what about a user who opens an account with their legitimate ID and selfie and then hands the keys to a bad actor? That’s exactly what happens with identity muling, and this type of second-party fraud can be difficult to detect.

As Claude adoption expands across enterprises and workflows, security and compliance teams need to understand who is using Claude Enterprise, how it is accessed, and how it is administered and configured across the organization. The Claude Compliance API gives organizations access to valuable activity data that supports security monitoring, investigations, and governance initiatives.

At Zenity, we like to say we don't only exist on the bleeding edge; we are the bleeding edge. It's a defensible claim. Zenity Labs consists of multiple teams focused on various technical disciplines within the security industry, and while the Labs moniker sits loosely over the group, the work it produces tells a unified story around AI Agent security.

Disasters are no longer defined simply by acts of nature. Nowadays, a localized electrical failure can crash global communications and bring online transactions to a sudden halt. Modern businesses rely on worldwide networks, web applications, and 24x7x365 customer call centers, making continuous operation an absolute necessity. When an unplanned outage strikes, your organization needs a reliable way to maintain alternative processes and keep IT systems running smoothly.

The first wave of AI security looked a lot like a WAF for LLMs: inspect the prompt, filter the output, block the obvious bad patterns. That was useful. It still is. But it was built for systems that mostly talked. Agents are different. They use tools, call APIs, access data, and change things. The confusion I keep seeing is simple: many teams think securing the model means securing the agent. It does not.

ionCube Loader is the runtime partner to ionCube Encoder which actually runs your encoded files on deployment machines. One useful feature of the Loader is that it includes runtime compatibility support which allows existing encoded files to run on future PHP versions where technically possible. This capability helps software vendors adopt newer PHP releases with greater flexibility as they won’t always need to re-encode and redistribute code in order to support new PHP versions.

You run the pipeline. You own the releases. And somewhere between the security team's findings and the development team's sprint, you're the one getting asked to explain why nothing is getting fixed. That's not a security problem. It's a coordination problem, and it's structural. According to the DuploCloud AI + DevOps Report, Sep 2025, The pipeline is under more pressure than it's ever been. The attack surface is wider than it's ever been.