Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security compliance audits can feel intimidating, especially if your team has never been through one before. For many organizations, an audit feels like a high-pressure project with a hard deadline, a long list of evidence requests, and a lot of manual work spread across security, IT, legal, and compliance teams. For vendors and companies in highly regulated industries, audits and risk assessments may already be a routine part of doing business.

Risk is expanding faster than most organizations can measure it, communicate it, and act on it. The convergence of AI, an ever-expanding attack surface, and deep, often hidden supply chain risks—extending into third-, fourth-, and fifth-party connections—all pose strategic and material risks to companies. Security leaders are ultimately looking for better ways to identify risk, prioritize action, and support stronger risk decisions across the entire business ecosystem.

When people talk about AI security risks, the conversation usually starts with the model. Can it be jailbroken? Can someone get around the guardrails? Can an attacker make it say or do something it should not? Those are fair questions, but they are not the most important ones. The bigger risk is not the model on its own: it’s everything the model is connected to.

Phorpiex, also known as Trik, is a resilient and long-running botnet with a history dating back to 2011. While it has grabbed some headlines, its sustained presence and adaptability make it a subject of ongoing concern for the cybersecurity community. Phorpiex has consistently demonstrated its capability to evolve, shifting from a pure spam operation to a sophisticated platform.

Each year, the threat environment changes, and the way we measure cyber risk has to keep up. Attackers adjust quickly. At the same time, organizations add cloud services, SaaS applications, and third parties to their environments. That makes it harder to maintain a stable, external measure of security performance. At Bitsight, the Ratings Algorithm Update (RAU) is one of the major initiatives that helps keep the Bitsight Security Rating a reliable indicator of security performance.

A supply chain compromise that impacted the Python package LiteLLM, with malicious versions 1.82.7 and 1.82.8 was published to PyPI on March 24, 2026. Bitsight Threat Intelligence, public reporting and vendor disclosures indicate the malicious releases included credential harvesting, Kubernetes-focused lateral movement, and persistence mechanisms, creating serious risk for cloud-native and AI-related environments that installed or ran the affected versions.

Domains are foundational to digital trust. You visit your favorite online store or log in to your email without thinking twice about the web address in your browser. But what happens if that domain has been hijacked and you have just entered your personal information into an attacker’s trap?