Operations | Monitoring | ITSM | DevOps | Cloud

In today's fast-paced business environment, organizations are constantly seeking ways to improve operational efficiency. One often overlooked but highly effective tool is the digital business card. Unlike traditional paper cards, digital business cards provide a seamless, modern way to exchange information while integrating into broader workflows. For teams managing multiple contacts, client interactions, and internal communications, digital solutions can save time, reduce errors, and streamline processes.

Nearly one in three cyber breaches now start with a supplier, McKinsey found in 2024. A single vendor review cycle often spans 3 to 5 weeks due to manual evidence chasing, according to Forrester's 2024 State of Third-Party Risk Report. And a May 2025 Gartner brief warns that this "perfect storm" of attacks, supply-chain shocks and new regulations is forcing boards to modernize third-party risk-fast.

The idea of a fully autonomous security operations center (SOC) sparks fascination and skepticism in equal measure. Swimlane defines an autonomous SOC as a center that uses AI, machine learning and automation to handle a significant portion of security tasks, including threat detection, triage and even remediation, with minimal human intervention. The goal is to free analysts from repetitive tasks so they can focus on strategy and threat hunting. Although a completely selfdriving SOC remains aspirational, advances in hyperautomation, enterprise automation architectures and AI agents are bringing us closer.

Overcoming these five challenges commonly faced by SOC teams means taking a quantum leap in performance. The catalyst for this shift is simple: high-quality threat intelligence, an essential component for modern security experts. With accurate, real-time data on malicious indicators, organization can match - or even surpass - results reported by ANY.RUN 's clients who adopted TI solutions: High-quality threat intelligence drives such improvements by solving some of the hardest SOC challenges. Read further to see what they are and how TI helps overcome them.

In the last two years, generative AI has moved from "cool demo" to become an integral element of IT production. The research proves this trend: according to Fortune Business Insights, global spend on generative AI reached an estimated $67 billion in 2024. By 2032, this spending is expected to pass almost $1 trillion, with a compound annual growth rate of approximately 40%. Moreover, a McKinsey & Company survey finds that roughly two-thirds of companies have already integrated generative AI into their workflows, and 80% use it in its broad sense. This technological transformation, hence, poses a critical new question.

Safety is something that businesses of all kinds should be concerned with. But if your culture is to truly support the safety of your workers, it isn't enough to simply put the message out that safety is important - you'll also need to lead by example, and incorporate safe practices into every aspect of your operations.