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The Latest Cybersecurity News & Insights From Around The World
From AI Findings to Action: How Security Teams Should Triage AI-Discovered Vulnerabilities
Security teams didn’t need a headline to tell them that vulnerability volumes continue to be problematic. The CVE database now contains over 354,000 records. Annual disclosure rates have climbed steadily for more than a decade. And remediation backlogs have long been recognized not as an aberration, but as a fixture of the job.
How 24×7 Monitoring and Detection Solves the Cybersecurity Confidence Gap
Security leaders have more telemetry, more controls, and more visibility than ever. They also have real confidence in their teams. In the Arctic Wolf 2026 AI & Cybersecurity Trends Report, 96% of respondents said they were very or somewhat confident their security team could keep pace with the volume and complexity of today’s threats.
The Art of Detection Engineering: Why Great Detections Are Built with You
Out-of-the-box detection content gives security teams a strong starting point from day one. Its full value emerges when that content is tuned to reflect the users, systems, workflows, and risks unique to your environment. This article walks through why tuning matters, how mature security teams approach it, and how Securonix helps turn expert-built detection content into high-fidelity security outcomes.
The Evolution of Cybercrime: How Cybercriminals Operate Today
Cybercrime has evolved into an industry built on specialization, efficiency, and continuous improvement.
AI Supply Chain Security: Why an SBOM Cannot Cover It
A software bill of materials works because software changes through a build. Someone bumps a dependency, the pipeline runs, the manifest updates and a scanner compares the new list against known vulnerabilities. Every part of that loop assumes a rebuild is the thing that changes behavior. AI systems break that assumption at the point it matters most. Editing a system prompt changes what a model does, swaps no dependency, triggers no build and produces no new manifest.
The Second Line Cannot Challenge What It Cannot Evaluate
The three lines model rests on an assumption that holds well in financial risk and poorly in cyber. It assumes the second line can evaluate the first line's work independently, which requires the second line to understand that work at least as well as the people doing it. In model risk management at a bank, that assumption is satisfied by staffing. The independent review function employs people who can re-derive a model's output and disagree with it on technical grounds.
What OpenTelemetry Can Actually Tell You About Your AI Agents
The distance between what OpenTelemetry was built for and what AI governance is asking of it shows up in a single number. Distributed tracing descends from Dapper, the 2010 Google paper that gave the industry the vocabulary of traces and spans. Dapper sampled one trace in 1,024. That is ample for finding a latency regression, because a regression recurs and the next sample catches it.
How Institutions Put Idle Capital to Work Onchain | Adam Levine, Fireblocks Financial Services
Treasury teams have always faced the same trade-off: keep cash safe and available, or chase yield and give up flexibility. Onchain finance is starting to remove that trade-off.
Continuous risk monitoring in third-party risk management is non-negotiable: Here's why
Accelerating security solutions for small businesses Tagore offers strategic services to small businesses. A partnership that can scale Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.