Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cybersecurity Mistakes Accounting Firms Keep Making (And How to Fix Them)

Tax season brings a predictable surge in phishing emails targeting accounting professionals. The messages look like client requests, IRS notifications, or software update alerts. They are crafted specifically for firms that handle sensitive financial data under deadline pressure, because attackers know that pressure creates mistakes.

Compliance and Regulation Heat Up in 2026: A New Phase of Scrutiny for Financial Services Organisations

The regulatory landscape facing financial services in 2026 is more complex, more demanding, and faster moving than at any point in the past decade. Across the UK, regulators are attempting to strike a delicate balance of stimulating economic growth while maintaining strong consumer protection and financial stability. This balancing act is unfolding against a backdrop of sluggish economic performance, geopolitical uncertainty, and political pressure for "pro-growth" regulation. The result is a regulatory environment where the pace, scope, and intensity of change is accelerating sharply.

LDAP: What it is, how it works, and why it matters for your network authentication

As organizations continue to adopt more applications and digital services, managing user authentication across multiple systems has become increasingly challenging. When user accounts are distributed across multiple platforms, provisioning and revoking access can become both time-consuming and difficult to manage. Ultimately, this increases the risk of unauthorized access and unmanaged credentials.

Malware Risks and Mitigation: Strengthen Your Cybersecurity Posture

Malware attacks are a major cybersecurity concern for individuals and businesses. These attacks can lead to data theft and financial losses. A report from AV-Test suggests that more than 450,000 new malware and PUA samples are detected each day, bringing the total to 1.56 billion known samples. Malware can take many forms, such as viruses, ransomware, spyware, and trojans. These can threaten data integrity, privacy, and business continuity.

What is AI Usage Control?

AI usage control is the security and governance framework that enterprises use to monitor, regulate, and secure how employees interact with artificial intelligence tools. As Generative AI becomes deeply embedded in everyday workflows, organizations face a high-stakes balancing act: capturing massive productivity gains while preventing catastrophic data leaks, compliance violations, and intellectual property exposure.

AI Agent Governance Part 2 - What Good Looks Like: Governing AI Agents in Practice

If AI agents are becoming organizational actors, then governance needs to move beyond principles and into operational structure. In Camille Stewart Gloster’s upcoming book The Insider You Build, she explains that governance is not defined by policies or structures, but by whether it can actually influence system behavior at runtime. In an agentic environment, governance only exists where it can shape, constrain, and intervene in decisions as they happen.

8 Ways to Reduce False Positives in Email Security

False positives can disrupt inbound email security as much as missed threats by slowing business workflows and eroding trust in security controls. As phishing attacks become more convincing, many systems respond by tightening filtering thresholds. But without enough context, this can lead to overblocking, where everyday business communication is misclassified as suspicious. Reducing false positives requires more than adjusting filters.

Cosine Similarity Is Math, Not Magic

Cosine similarity is pure math. No magic. No understanding. Once you accept that, a lot of the confusion goes away. We talk to a lot of customers, and even seasoned engineers, who treat cosine similarity like magic that solves everything. Engineers talk about embeddings like they are definitive. Product teams trust similarity scores like they are facts. Vendors sell “semantic understanding” like the model actually understands. Truth is, it does not.