Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Hidden Security Risks of Mobile Workforce Applications in Field Operations

Mobile workforce applications are a $7+ billion market, forming the backbone of modern field service, but they are also becoming the primary targets of sophisticated cyberattacks. For a field technician, a mobile device is a tool, like a wrench or a multimeter, yet it holds the keys to your entire customer database and internal financial records.

AI Agents in the Cloud: A Risk Management Framework for Security Leaders

Your risk committee meets Thursday. The agenda has a new item: AI agent risk posture. You open the register. The fraud detection agent shipped in March is on it. So is the customer service agent. Neither row is useful — “likelihood: medium, impact: high, control: service account scoped via IAM.” Three months ago that was approximately right. Last week the platform team added two MCP connections, the model was upgraded, and the agent now touches data classes the entry never anticipated.

The Symbiosis of Residential Proxy Services and Malware Ecosystems

Residential proxy services, also called RESIP, present a persistent operational hurdle for tracking and attributing malicious network activity, as they allow threat actors to mask their true origins behind seemingly benign, geographically diverse IP addresses. While often marketed for legitimate use cases, these networks are aggressively leveraged for fraud, credential abuse, and perimeter evasion.

Why Innovation at Bitsight Is a Culture, Not Just a Scorecard

I’ve spent a lot of time recently thinking about what "innovation" actually means in an industry that moves as fast as cybersecurity. It’s a term that gets thrown around a lot, but as a product leader at Bitsight, I see it as something much deeper than just shipping new features. It's about a fundamental shift in how we help organizations stay resilient.

AI Is Moving Fast in Manufacturing

Artificial intelligence is rapidly becoming embedded across manufacturing environments, from engineering and design to supply chain optimisation and operations. What was once experimental is now being applied in day-to-day workflows, often driven by the need for speed, efficiency, and competitive advantage. Recent research shows that 73% of manufacturing organisations report rapid AI adoption, with 90% ranking AI as a top security priority for 2026. The direction of travel is clear.

The Exploitability Intelligence Gap: What Security Teams Can Know Before CISA KEV

In this webinar, Nucleus Security CEO Steve Carter and Product Marketing Lead Tally Netzer break down the growing “exploitability intelligence gap” and what it means for modern vulnerability and exposure management programs. Drawing from six months of research and real-world vulnerability data, they explore how attacker timelines have compressed, why traditional reactive workflows are struggling to keep pace, and where organizations are missing critical signals before exploitation begins.

AI GitHub Agents: How One Issue Leaked Private Repos

In May 2025, a developer using Claude with the GitHub MCP server asked their AI assistant to do something entirely routine: review the open issues in a public repository. The repository contained a malicious GitHub issue planted by a researcher demonstrating a security vulnerability. The issue contained hidden instructions. The AI read them, followed them, accessed the developer's private repositories, and posted the contents in a publicly visible pull request. No credentials were stolen.

The UK Government's Open Letter on AI Cyber Threats Underscores the Need for Measurable Security

A recent open letter from the UK government on AI-driven cyber threats highlights a clear shift in the threat landscape. Cyberattacks are no longer constrained in the same way by human expertise, as advanced AI models can now help identify vulnerabilities, generate exploit code, and increase the speed and scale of attacks.

6 Best Practices for Application Risk Assessments

For years, the annual penetration test or quarterly security scan served as the cornerstone of application risk assessments and application risk management. Teams would run the assessment, triage the findings, hand the report to developers, and wait for the next cycle. It felt like progress. It wasn’t.