Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Let’s be honest: few phrases can make your stomach drop faster than “your data has been compromised.” Whether you’re an individual trying to protect your passwords or a business managing millions of customer accounts, the fear of a data breach is real and growing. We live in a time where almost everything is online: our finances, our health records, our identities.

The rapid evolution of cloud infrastructure, accelerated by hybrid work models and digital transformation, has introduced an equally dynamic threat landscape. In 2025, AI-driven solutions are no longer a luxury—they’re a necessity for scalable, intelligent, and proactive cloud security. From detecting anomalies in real time to mitigating advanced persistent threats, AI-powered cloud security tools in 2025 are shaping how organizations defend against increasingly complex cyberattacks.

Part of the process of achieving certification with CMMC is undergoing an audit to validate your security posture across all of the relevant security controls. This can’t be done internally; part of maintaining a valid security framework is using third-party assessors to do the validation, to ensure an unbiased and equitable evaluation, no matter who the client is.

As CISOs, you’ve invested heavily in desktop security, built out Zero Trust architectures, and hardened your perimeter. But there’s a critical gap many are still leaving exposed: mobile devices and the human behind the screen. In a world where your workforce runs on smartphones, overlooking mobile security is no longer an option.

We’re excited to share new updates and enhancements for July, including: For more information on these updates and others, please read the complete list below and follow the links for more detailed articles.

Imagine a tireless, ever-learning army that never sleeps and never makes mistakes—an army of AI agents, not humans. What began as simple bots has evolved into sophisticated, autonomous entities operating in perfect sync at machine speed. This is no longer science fiction: autonomous AI is accelerating fraud, turning slow, manual crimes into rapid, relentless attacks. Agentic AI fraud isn’t coming—it’s here. Most organizations remain unprepared.

Modern applications have undergone a paradigm shift, with containers becoming the default choice for deployment. While their flexibility and scalability are well-recognized, their adoption has also surfaced new and complex security challenges. Organizations are now grappling with how to embed trust across their software supply chains, maintain compliance, and mitigate risks—especially as they increasingly incorporate open-source components and AI-generated code into their workflows.

Wireless networks have traditionally been a weak point in corporate cybersecurity. However, what was once a localized risk, limited to an office space, has now evolved into a more sophisticated threat, making detection more difficult.

Imagine: A newly acquired dataset is being prepared for use as a vector database to retrieve information, create recommendation systems, be used for threat detection or similarity-based alert triage. During integration, however, operational challenges surface. Platform constraints prevent full-scale ingestion, prompting an arbitrary reduction in the size of the dataset. As a result, performance degrades significantly.

In late July 2025, Arctic Wolf observed an increase in ransomware activity targeting SonicWall firewall devices for initial access. In the intrusions reviewed, multiple pre-ransomware intrusions were observed within a short period of time, each involving VPN access through SonicWall SSL VPNs. While credential access through brute force, dictionary attacks, and credential stuffing have not yet been definitively ruled out in all cases, available evidence points to the existence of a zero-day vulnerability.