Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Technology Companies Are Investing in Drone App Development

The global drone market is expanding at an impressive pace, driven by advances in automation, artificial intelligence, cloud computing, and connectivity. While drone hardware continues to evolve, software has become the primary factor that determines how effectively organizations can leverage these technologies. Companies working with companies, such as Wezom, on custom drone app development projects are discovering new ways to automate operations, improve data visibility, and create scalable digital ecosystems that support long-term growth.

9 of the Best Managed IT Services for Focused Cybersecurity Frameworks

Do you know there are between 2,200 and 2,700 impactful cyberattacks every day out of the hundreds of millions of automated attempts? The vast amount of high-potential attacks means that any business or organization needs focused cybersecurity frameworks to proactively deal with the threat. But where do you even begin? Like anything, there are many IT and cybersecurity delivery services for businesses of all sizes, needs, and, of course, budgets.

The 7 Principles of Privacy by Design: Building Trust Into Modern AI and Data Systems

Data privacy is not just a checkbox for compliance requirements. It has become a core business expectation. Customers now want to know how companies collect, store, process, and protect their data. At the same time, global regulations like the GDPR and CCPA have made privacy a critical part of product development. According to a report by the Cisco Consumer Privacy Survey, 99% of companies saw measurable benefits by investing in privacy.

How to Secure APIs Used in AI Applications?

Every AI application runs on APIs. They carry prompts, responses, customer data, and credentials between your models, databases, and third-party services. To secure APIs in AI applications, you need strong authentication, rate limiting, encryption, input validation, and continuous monitoring. But AI adds a layer most API security checklists miss: the data inside the API calls. That data needs protection too.

Automating Identity Governance in Jira Service Management for HR to IT Access Control

In many organizations, the gap between HR and IT is a "black hole" of productivity and security. When a new hire starts, they often spend their first day staring at a login screen because their access wasn't provisioned. Worse, when an employee leaves, their access to Jira, Slack, or Entra ID might remain active for days or even weeks. This isn’t just an administrative headache; it’s a major security and compliance risk.

Why Audit Readiness Accelerates Revenue

At 3am, you wake up in a cold sweat from a nightmare. The dream? You showed up to test for your most difficult class without having studied. Unprepared, your dream self sat in an uncomfortable desk, staring at a piece of paper and panicking. In the corporate world, an audit can induce the same sense of anxiety and distress.

Frontier AI Explained: A Guide to What Mythos, GPT 5.5-Cyber, MDASH, and CodeMender Really Do

The cybersecurity industry is entering a new phase of AI adoption. Frontier AI models are increasingly capable of identifying vulnerabilities, investigating threats, analyzing code, and accelerating security operations at machine speed. At the same time, innovation is moving rapidly. New models, platforms, and security-focused AI initiatives are emerging across the market, each pushing the boundaries of how AI can be applied to real-world cybersecurity workflows.

One Identity on Mythos, Fable and what they mean for your identity controls

Mythos changes the speed of attack. Identity controls decide what happens after. The shift underway For the first time in 19 years, vulnerability exploitation now leads the Verizon Data Breach Investigations Report as the breach entry point. It accounts for 31 percent of incidents, ahead of stolen credentials. Threat actors are using AI to exploit known vulnerabilities in hours rather than months. The Verizon data predates the latest frontier AI advancements.

Deconstructing the Agentic Stack: Why API Visibility Is the Ultimate Defense for AI Agents

AI agents do not create risk only when they hallucinate or produce an inaccurate answer. They create risk when they take the wrong action. A single user prompt can move through an application, reach an agent runtime, call a tool, trigger an MCP server, and touch a downstream API. By the time the action happens, the original request may be several layers away from the system that actually changes data, sends information, or executes a workflow. That is the problem security teams now face.