Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Consider that your backup is running smoothly. Your dashboards are green. The DevOps team is sleeping peacefully. And yet, behind the calm surface, something is happening. Your API limits are being chewed up, call by call, until you’re throttled into silence. Suddenly, your system stalls – quietly and invisibly. The irony is, you build a backup system for resilience. Now, it’s the vulnerability. There’s a quiet assumption built into most backup systems.

Organizations in regulated industries must comply with strict guidelines that require continuous security measures and data protection protocols to be in place. Maintaining compliance in trust centers is becoming essential, as these organizations must demonstrate compliance with industry-specific regulations across their business relationships with clients and partners, as well as during audits. Trust centers for compliance metrics as a key framework for regulated companies to show compliance at scale.

In today’s world, software buyers rarely proceed with a vendor relationship without a full understanding of the vendor’s security practices before entering into any type of arrangement. They require certifications, compliance reports, and data handling procedures in advance; consequently, adding security documentation requests, compliance attestation requests, and audit report requests are never-ending burdens on sales teams.

OpenAI’s AgentKit has democratized AI agent development in a big way. Tools like Agent Builder, ChatKit, and the Connector Registry make it possible for teams to spin up autonomous agents without writing custom code. That kind of accessibility changes everything, including the AI agent security threat model. The easier it becomes to build agents, the harder it gets to secure them.

The modern security operations center (SOC) in 2025 is a far cry from the siloed, reactive setups of the past. Twenty years ago, SOCs concentrated on perimeter defense, firewalls, antivirus, and basic IDS. Security analysts manually sifted through logs and alerts, often overwhelmed by false positives. Monitoring of threats was largely confined to on-premises, internal infrastructure. Cloud, mobile, and IoT weren’t yet major concerns.

The work of a cybersecurity professional never ends, and it’s never easy. Whether they’re responding to incidents in the SOC or briefing the board on supply chain vulnerabilities, security leaders and practitioners live under constant pressure. And while the reality of burnout may not be new, it’s still a growing threat. One that endangers not only the well-being of security professionals but also the resilience of the organizations they protect.

Every month, we highlight the Tines features released during that period, but once in a while we like to dive deeper into a few special topics. Check out this video for a visual recap of those select features.

Even with solid controls in place, no organization is immune to attack. The goal isn’t perfection. It is consistency, visibility, and response readiness.

DevOps and security teams often operate with conflicting goals: one pushes for speed, the other for safety. This friction creates bottlenecks, slows innovation, and builds security debt. But what if you could align these functions with a clear, actionable framework? Instead of just talking about “shifting left,” you could implement a structured process that embeds security into every stage of development: DevSecOps best practices.

The worldwide ransomware landscape saw a dramatic shift in attacks in October 2025, jumping 41% month over month, with the most prolific attacker, Qlin, more than doubling the number of attacks it launched, according to Trustwave, A LevelBlue Company, research. The US remained the primary recipient of ransomware attacks, but October saw manufacturing overtake technology as the most targeted vertical sector.