Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this article The alarm wasn’t a breach. It was an invoice. A mid-sized enterprise onboarding a new analytics vendor found themselves tangled in a post-implementation scramble: customer data had been shared without encryption, the vendor’s security posture was based on trust alone, and legal had skipped the SLA review because “they’d worked with them before.” What followed wasn’t a data loss, but something quieter and more corrosive, an erosion of confidence.

Cyber attacks aren’t a question of if, but when. Yet for many midmarket and small enterprises, the tools and models to prepare for these threats have long been out of reach — often too complex, expensive, or ineffective. Traditional incident response (IR) retainers, designed for a different era, have only added to this challenge by creating financial and operational uncertainty when organizations need clarity the most.

Enterprise security teams commonly focus on controlling AI agent conversations through prompt filters and testing edge cases to prevent unauthorized information access. While these measures matter, they miss the bigger picture: the real challenge is granting AI agents necessary permissions while minimizing risk exposure. This isn’t a new problem—it’s the same fundamental challenge we’ve faced with human users for years.

Hybrid work is here to stay, but visibility, consistency, and productivity aren’t keeping pace. Managers are left guessing who’s working effectively, which workflows are efficient, and where digital distractions or compliance risks may be hiding. Without complex data, accountability becomes reactive—or worse, arbitrary.

Fake apps are the latest evolution of brand impersonation, and they’re proving just as dangerous as phishing sites. Fraudsters clone legitimate mobile apps, publish them on official app stores, and trick users into entering credentials — which are then reused in the real app before anyone notices. Given that over 60% of web traffic is now mobile, this form of phishing-driven credential reuse has become one of the top blind spots in mobile fraud defense.

Explore enhanced secrets security across code, collaboration tools, & public repos. Discover new Agentic AI protection, NHI lifecycle automation, and smarter incident management.

Africa's cybersecurity landscape presents a paradox: a widespread belief in preparedness among organisations, although significant blind spots continue to exist, particularly concerning their human layer - their employees. The KnowBe4 Africa Human Risk Management Report 2025, drawing insights from 124 senior cybersecurity decision-makers across 30 African countries, uncovers several concerns in the continent's cyber readiness.

Ransomware attacks increased by 63% year-over-year in the second quarter of 2025, with a total of 276 publicly disclosed incidents, according to a new report from BlackFog. Notably, there were far more ransomware attacks that weren’t publicly disclosed. The researchers note, “The figures also reveal that the scale of hidden activity remains significant, with 80.9% of all ransomware attacks going unreported.

Now is the time to modernize your security stack, including client-side protections many current tools ignore.

Global Artificial Intelligence (AI) infrastructure spending is projected to surpass $200 billion by 2028, according to research from the International Data Corporation (IDC). As organizations rapidly deploy more complex AI systems, the demand for high-performance infrastructure, like Graphics Processing Units (GPUs) and AI accelerators, is surging. This growth exponentially increases computing power, energy consumption and data exchange across hybrid and cloud environments.