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.

OpenClaw (Moltbot) Personal Assistant Goes Viral - And So Do Your Secrets

Early 2026, Moltbot a new AI personal assistant went viral. GitGuardian detected 200+ leaked secrets related to it, including from healthcare and fintech companies. Our contribution to Moltbot: a skill that turns secret scanning into a conversational prompt, letting users ask "is this safe?".

Future of MFA: Trends That Will Win in 2026

2026 is here, and cybersecurity is defined by a critical paradox: despite widespread MFA adoption, credential-based breaches continue to surge. Traditional multi-factor authentication, static, friction-heavy, and often disconnected, no longer stands up to sophisticated threats, such as AI-powered phishing, MFA fatigue attacks, and prompt bombing campaigns, which exploit user behavior rather than technical vulnerabilities.

The Dangerous Reason CISOs Get Sidelined

Security leaders are not ignored because governance or risk no longer matter, they are sidelined because speed and efficiency are treated as the only metrics that count. AI is sold as a competitive edge, so any warning about second order effects sounds like friction, even though speed without control creates asymmetric risk that grows out of sight.

Futureproofing Tines: Fair share orchestration

Fair-share orchestration of resources in a tenant, especially in a multi-tenant context is a complex, multifaceted issue. It involves ensuring equitable access to shared resources, preventing system overload, and maintaining optimal performance across all customer workflows. As more customers build and trust Tines with their most important workflows, (which sees the platform handle over a billion automated actions per week), we recognized that we needed to ensure our platform's scalability.

Threat hunting to detection engineering: Analyzing real malware with Claude Code, LimaCharlie, and Linux

Claude Code, originally just auto-complete on steroids for IDEs, shows a lot of promise for becoming a major tool in the DFIR/detection engineering/security analyst’s toolbox. Whether it’s Claude Code’s support of MCP, agent skills, or general ability to quickly figure out how to accomplish a given task, it is rapidly becoming more than a code generation tool. This is the first of a three-part series.

Why is cybersecurity getting so expensive?

Cybersecurity is pricing itself out of reach. Over the past eight years, private equity and VC acquisitions have driven massive price increases across security consulting, vendor products, pentesting and compliance services. SMBs are struggling with vendor renewals climbing up to 40% while security budgets can't keep pace. From endpoint security to SIEM solutions, baseline cybersecurity is becoming unaffordable for the organisations that need it most.

Par for the Course: Why Golf Facilities Are Prime Targets for Cyberattacks

Golf can be an incredibly frustrating game to play. The great Winston Churchill described golf as "a game whose aim is to hit a very small ball into an even smaller hole, with weapons singularly ill-designed for the purpose.” Interestingly, cybersecurity professionals face the exact opposite problem.

Data Governance vs Data Management: 7 Differentiating Factors

When data programs fail, they usually fail in two very different ways. Weak data governance shows up as overexposed databases, long-lived credentials, and access that quietly expands far beyond intent, often until it’s exploited. Weak data management really breaks trust from the inside out with stale or inconsistent data, pipelines that stall under their own complexity, and bottlenecks that slow decision-making.

Episode 7 - Practical AI for Zeek, MITRE, and Security Docs

In Episode 7 of Corelight DefeNDRs, join me, Richard Bejtlich, as I sit down with Dr. Keith Jones, Corelight's principal security researcher, to discuss the practical applications of AI in enhancing network security. We delve into how large language models (LLMs) can assist in cleaning up documentation and generating Zeek scripts, sharing insights from our extensive experience in incident response and coding. Keith reveals the challenges and successes he has encountered using LLMs to streamline processes, including their role in analyzing MITRE techniques.