Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As Anna say in the podcast, “Security reviews show up just when you think the deal is about to close. It’s like a final boss that no one wants to fight.” The last-mile friction caused by security diligence isn’t new, but it’s becoming more painful as deal cycles tighten and expectations around transparency rise. Buyers want answers faster. Vendors want to close faster. And security teams, stuck in the middle, are often left juggling risk, reputation, and revenue timelines.

Imagine this: a single breach that exposes a few patient files, and suddenly your organization is facing multi-million dollar fines, legal scrutiny, and eroded trust from the public. Now add regulatory audits, internal investigations, and the constant stress of proving compliance at every turn. The stakes are simply too high to treat HIPAA as an afterthought.

The cybersecurity lifecycle is the foundation of how security teams protect, detect, and recover from threats. From asset discovery to post-incident recovery, the lifecycle defines the processes organizations rely on to safeguard data and systems. But here’s the challenge: While the lifecycle provides a roadmap, operationalizing it in modern SOCs is messy. Disconnected tools, alert fatigue, and endless manual tasks slow down response times and create gaps that attackers exploit.

Many organizations struggle to address network security vulnerabilities in time. By the time vulnerabilities are discovered, attackers may already be exploiting them across your infrastructure, especially in areas where visibility is limited. That delay leaves you scrambling patches get applied too late, remediation workflows are disjointed, and attackers can move laterally or exfiltrate data before containment begins.

AI exploded into the workplace overnight, reshaping how we work. Today, nearly every employee is experimenting with tools to move faster and think bigger. However, that acceleration comes with risk. According to Cyberhaven Labs’ latest research, nearly three-quarters of AI apps in use pose high or critical risks, and only 16% of enterprise data sent to AI ends up in enterprise-ready apps. The rest flows to personal or unvetted tools.

The state of cybersecurity has always been in flux, but the arrival of tools like ChatGPT heralded one of the most significant challenges for security teams in years. AI has the potential to unlock incredible potential in data processing and malware detection, but in the wrong hands, Large Language Models (LLMs) and other adversarial AI tools can be used to develop polymorphic malware that can escape detection, gain access to sensitive data, and poison data sets.

The first C in CMMC stands for cybersecurity, so it makes sense that the vast majority of content and information about it (both here and elsewhere online) is focused on the cyber aspect. Digital security makes up the bulk of the certification, and it’s by far the biggest threat vector in a modern business space. There is, however, still that detail that has to matter sooner or later: the fact that everything digital has to have somewhere it lives in physical space.

August is usually a quiet month for policy change on both sides of the Atlantic. Not so this year. With follow-ups from the busy first half of the year and preparations for an intensive last quarter, bureaucrats had little chance for summer plans.

On 19 August 2025, the Arctic Wolf Cybersecurity Operations Center (cSOC) uncovered and remediated a sophisticated delivery chain: a threat actor leveraged GitHub’s repository structure together with paid placements on Google Ads to funnel users toward a malicious download hosted on a lookalike domain. By embedding a commit‑specific link in the advertisement, the attackers made the download appear to originate from an official source, effectively sidestepping typical user scrutiny.

AI agents (utilizing LLMs and RAG) are being used within SOCs and SIEMS to both help identify attacks and assist analysts with working more efficiently; however, I’ve done a little bit of research one sunny British afternoon and found that these agents can be abused by attackers and made to go rogue. They can be made to modify the details of an attack, hide attacks altogether, or create fictitious events to cause a distraction while the real target is attacked instead.