Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Stablecoins in Treasury: Why CFOs Should Care

Already in 2025, more than 25% of our customer invoices at Fireblocks settle in stablecoins. To me, that’s a clear sign they’re becoming a mutually-convenient way to transact for both senders and receivers, particularly across borders. For CFOs, especially those with international operations or customers, it is time to start understanding what stablecoins can do for your business and your clients.

OT Endpoint Risks and How to Eliminate Them

Cyberattacks on operational technology systems increased 87% in 2024 (Dragos 2024), with endpoint access emerging as THE top attack vector for OT and industrial control systems (ICS). This means the same connections vital to maintaining your critical systems, whether a vendor connecting remotely via VPN or an employee logging into a local workstation, represent a potential entry point into your environment.

Why Healthcare Needs DevOps Backup And DR Strategy

There is a critical speed-control paradox in the healthcare DevOps landscape: while DevOps best practices dramatically cut software delivery cycles, a lack of confidence in Disaster Recovery readiness, noted by Gartner, opens up room for fragile operations despite increased deployment speed. This gap demands a solution that adds reliability, such as comprehensive backup strategies, to ensure that faster development doesn’t compromise mission-critical systems ignited through DevOps platforms.

Secure AI at Machine Speed: Defending the Growing Attack Surface

As AI becomes embedded across the enterprise — from customer-facing tools to backend automation — it dramatically expands the enterprise attack surface. Models, agents, apps, and data pipelines now span public and private clouds, SaaS, and edge environments, creating a sprawling, opaque risk landscape.

The Unfair Fight: Why Traditional Security Is Failing Your Team

For years, cybersecurity meant defending a clear, defined perimeter. That era is over. Modern organizations are sprawling, borderless, and interconnected in ways security teams were never designed to protect. Employees log in from around the globe, business units spin up SaaS without approval, and third-party vendors extend risk far beyond your control. Attackers no longer need to hammer at a single gateway.

Proactive Lifecycle Management with NQE: EOL, EOS & Compliance Checks

Network teams often risk costly disruptions when aging or unsupported hardware slips under the radar. With Forward Networks’ Network Query Engine (NQE), you can proactively identify devices approaching End‑of‑Sale (EOS) or End‑of‑Life (EOL), plus enforce hardware/software compliance at scale. Get ahead of risks, reduce technical debt, and align your infrastructure with business goals—automatically.

Challenges in Ensuring AI Data Privacy Compliance [& Their Solutions]

What happens when the AI feature you shipped last quarter is compliant in one region—but illegal today in another? That’s the new normal. In 2025, the EU AI Act, new U.S. state privacy laws, China’s PIPL, and APAC rules are reshaping how organizations collect, process, store, and share data for AI. Privacy isn’t a back-office task anymore; it’s a front-line guardrail for product, security, and data teams.

Strategic Budgeting for 8(a) Organizations and Government Contractors

For government contractors, budgeting isn’t merely a bookkeeping exercise—it’s the pivot point on which projects, compliance, and profitability hinge. Yet, many 8(a) organizations and government contractors still struggle with outdated systems, siloed processes, and compliance complexities that create unnecessary hurdles.

Introducing Dynamic API Scanning

Application environments are more complex than ever, with APIs forming the critical connective tissue. But this proliferation has created a vast, often invisible, attack surface. Security teams are caught in a difficult position: compliance frameworks like PCI and SOC 2 demand API scanning, but offer little guidance. Meanwhile, you’re grappling with incomplete API inventories, and the market is a confusing mix of expensive, hard-to-instrument niche tools.

Clustering-as-a-Tool: Leveraging Machine Learning for Device Data Insights and Signature Creation

Imagine a retail chain, CaaT Networkstore, that wants to run a marketing campaign targeting its in-store customers. To do that, they need to know what types of devices their customers are using. They could survey the users, but a better, more accurate approach is to look at their free Wi-Fi logs and count the types of devices customers are using to connect to the network. If the store is small, the solution is fairly trivial.