Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The AI security market is crowded. Vendors are racing to protect prompts, harden models, detect jailbreaks, and scan for data leakage at the LLM layer. The investment is real. The intent is good. And most of it is missing the point. Here is the problem: agents do not just think. They act. They call APIs. They trigger workflows. They write to databases, send emails, move money, and modify production systems.

The human layer is not impacted by Anthropic's Mythos Preview announcement. If anything, it is reinforced, and for reasons that deserve to be spelled out clearly.

A new commodity phishing kit called “Venom Stealer” allows threat actors to automate ClickFix attacks, according to researchers at BlackFog. ClickFix is a social engineering technique that tricks users into executing malicious commands on their computer, usually resulting in malware installation.

Security teams accept that standing up a real SOC requires days of configuration, credential wrangling, and infrastructure work before any actual security engineering begins. With LimaCharlie, actual setup time is closer to ten minutes. It gives valuable time back to SecOps teams by managing infrastructure and simplifying onboarding and operations with Claude Code. Using agentic AI to deploy SOC capabilities means your team spends less time on infrastructure and more on security work.

The LA Times recently reported on a suspected breach involving a public sector legal office and a third-party tool used to transfer discovery materials. According to the report, the exposed data included a large volume of highly sensitive records, including witness information, medical data, unredacted legal documents, personnel records, and investigative materials. Without getting ahead of the facts, there is a pretty straightforward lesson here. Sensitive data rarely stays in one place.

A remote workforce is defined as having employees who perform their work away from a traditional office setting. Commonly, remote employees work from home or some other location with internet access. A co-working space is another popular flexible remote work environment, offering a dedicated and professional setting outside the home or traditional office.

What the Anthropic Mythos findings mean for every security team, and the 90-day window you cannot afford to miss. Last week, Anthropic published something that should stop every CISO in their tracks. Its Mythos Preview model, running autonomously, without expert guidance, identified thousands of high- and critical-severity vulnerabilities across major operating systems, browsers, and open-source projects.

Most organizations can answer "who can log in" but not "who can access a specific sensitive file, and should they?" Data access governance (DAG) closes that gap. It governs who can reach sensitive data, whether that access is appropriate, and how teams review that access over time, connecting visibility, control, and automation so organizations can govern access continuously rather than scramble before each audit.

DSPM solutions continuously discover and classify sensitive data, map who can access it, and surface misconfigurations across cloud and hybrid environments. Without them, security teams cannot reliably find shadow data, assess real exposure, or demonstrate that sensitive information is protected. Choosing the right platform means matching data coverage, risk prioritization, and remediation workflows to your actual estate.

Building a supply chain security company comes with an uncomfortable truth: our remediated packages run inside our customers' production environments. A compromise on our end is a compromise on theirs. We take that responsibility seriously. I want to pull back the curtain on how we actually secure our own supply chain - from the code we write, to the artifacts we deliver, to the infrastructure that holds it all together. ‍