Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Agent Sprawl Is the Problem Runtime Security Has to Solve

Enterprises aren't standardizing on one AI agent platform. Security teams are watching Copilot run alongside ChatGPT Enterprise, homegrown agents built on internal frameworks, and endpoint coding agents like Claude and Codex, often all inside the same organization. Each platform brings its own credentials, tool access, and blind spots, and none of them wait for a security review before taking an action.

Unlock MSP Growth: How AI Drives Operational Efficiency and New Revenue | WatchGuard Webinar

Artificial intelligence is no longer a future consideration for MSPs because it is already reshaping how leading providers run their businesses, protect their clients, and create new revenue streams. Separating real business value from hype requires a clear-eyed, practitioner-driven perspective.

5 Ways to Address Claude Mythos Cybersecurity Risks

To address Claude Mythos cybersecurity risks, security teams need to adapt for a world where AI can accelerate the path from vulnerability discovery to exploitation. That means moving toward continuous exposure management, shortening the time from discovery to verified remediation, prioritizing based on real exploitability rather than severity alone, reassessing older software as new risks emerge, and making AI usage part of the organization’s broader exposure picture.

From shadow AI visibility to AI threat detection

AI adoption is outpacing enterprise control. The 2026 Verizon DBIR found that 45% of employees regularly use AI on corporate devices, and 67% of those users access AI through non-corporate accounts. Cyberhaven Labs reports that 39.7% of data sent to AI tools is sensitive, while endpoint AI app adoption grew 509% year over year.

How Content Scarcity Creates Bugs in LLM-Generated Code

Large language models are now a core part of the software development lifecycle. The 2025 Stack Overflow Developer Survey found that 82% of developers used OpenAI’s GPT models in their work last year, and Google has reported that AI now writes over 25% of new code committed at the company. All of that rests on one assumption. The model understands what you asked, and its answer is accurate.

We Researched Four AI Evidence Analysis Tools for TPRM. Here's What We Found.

Analyzing vendor evidence is a massive undertaking, which is why more third-party risk management (TPRM) tools now offer AI capabilities that let teams upload evidence and get a faster read on a security assessment. When these capabilities come up in a vendor evaluation, the conversation almost always narrows to one question: how accurate are the AI results? A tool can answer every individual question correctly and still leave you exposed.
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Data centres and the changing hybrid threat

The UK is in the middle of a data centre building boom. Government forecasts put AI capable capacity needs at 6GW by 2030, three times what exists today, while electricity demand from the sector is also expected to rise significantly.

When an in-house QA team stops scaling with the product

Engineering don't tend to decide on outsourcing QA. They arrive at it instead, usually a few months after release when cadence has quietly outrun the size of the testing team. A two-person QA function may have comfortably dealt with a monthly release but soon starts falling behind a weekly one. The first response is usually to hire.

CDN Streaming Showdown: Fastly vs. Akamai vs. Cloudflare vs. CloudFront

When you hit play on a video, you don't think about the army of servers that rush to deliver it. But for anyone running a streaming platform, choosing a CDN (Content Delivery Network) is crucial. Latency, throughput, and cache-hit ratio can be the difference between smooth streaming and angry users smashing the refresh button. Here's a practical, human-friendly look at four heavyweights in the streaming space: Fastly, Akamai, Cloudflare, and AWS CloudFront.

How Technology Is Changing the Future of Cybersecurity

The digital world is growing faster than ever before. The security of sensitive information becomes increasingly critical as reliance on digital systems increases in business and daily life. Cybersecurity should not be a matter of merely deploying home-grown simple firewalls or installing basic antivirus. Security continues to be an arms race as attackers grow more sophisticated in their techniques, and more intelligent in their defense. The way you protect data has been radically changed by advanced technology today. Here is a closer look at how modern engineering is shaping the future of digital security.