Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Vibe Coding Speeds Up Mobile Apps But Creates New Security Risks

AI-assisted development has crossed a tipping point. Mobile teams are no longer debating whether to use AI to write code. They are deciding how fast they can ship with it. This shift, often called vibe coding, prioritizes intent and speed over manual implementation. Developers describe what they want, and AI fills in the rest. Velocity improves. Releases accelerate. But security assumptions quietly break. For mobile applications, that risk compounds.

The Role of Reliable IT Services in Modern Business Growth

Modern businesses run on digital rails. When those rails are reliable, teams move faster, customers stay happy, and leaders make decisions with confidence. Reliable IT services turn technology from a cost center into a growth engine - not through flashy tools, but through steady, predictable outcomes that compound over time.

Sumo Logic's 2026 Security Operations Insights report: AI, siloed tools, and team alignment

Security threats have always been expanding and evolving, but recent data shows that modern applications are more complex for security and operations than ever before. And AI is only a piece of that puzzle. To stay on top of the changing market and hear directly from security leaders on what’s really top of mind, Sumo Logic surveyed over 500 security leaders with the help of UserEvidence. We asked about data pipelines, tool sprawl, confidence in SIEM, and, of course, AI.

Agentic SecOps Workspace (ASW) office hours with LimaCharlie

Join us for a special Defender Fridays Office Hours session where the LimaCharlie team demonstrates the new Agentic SecOps Workspace (ASW) and explores what's possible when AI agents operate security infrastructure directly. At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.

Semantic Guardrails for AI/ML - Protegrity AI Developer Edition

In this installment of our AI Developer Edition Set-up series, Dan Johnson, a software engineer at Protegrity, introduces semantic guardrails. Learn how to protect your LLM and chatbot workflows from malicious prompts and insecure AI responses. As AI becomes central to enterprise operations, controlling the context of conversations is a major challenge. Semantic guardrails provide a safety layer that ensures your AI stays on topic and never leaks sensitive PII.

From IDE to CLI: Securing Agentic Coding Assistants

Today we’re excited to announce that Zenity now protects the most powerful, enterprise-critical coding assistants - Cursor, Claude Code, and GitHub Copilot - from build-time to runtime. As AI becomes a first-class developer tool, Zenity gives security teams the visibility and control they need to safely embrace coding assistants everywhere they’re used, in IDEs, CLIs or in the cloud.

MCP & AI Agent Security: Addressing the Growing Data Exfiltration Vector

The security landscape is shifting. For the past two years, security teams have focused primarily on what users type into chatbots by monitoring interactions with ChatGPT, Gemini, and Claude. But a new risk vector is emerging, one that operates largely outside traditional security controls: AI agents accessing corporate data autonomously through the Model Context Protocol (MCP).