Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial Intelligence in Business: Value, Risk, and How to Put It to Work Safely

Leaders do not lack information; they lack the right signal at the right time, presented in a way they can trust. That is the promise of artificial intelligence in business, and also the source of its headaches. Used well, AI turns scattered activity into timely visibility. Used carelessly, it creates security questions, unpredictable outputs, and nervous legal teams. This guide lays out where AI reliably adds value inside a company, the security decisions that matter most, and a practical path to pilot, measure, and scale without drama.

Understanding Container Orchestration Platforms

Security architecture separates successful container deployments from costly data breaches. When comparing Rancher against OpenShift, organizations must examine how each platform handles access controls, compliance frameworks, and disaster recovery protocols. Both platforms manage Kubernetes clusters effectively, but their security models take different approaches. OpenShift integrates Red Hat’s enterprise security stack with built-in image scanning and strict pod security standards.

New Phishing Campaign Uses AI Tools to Evade Detection

Microsoft warns that a recent phishing campaign used AI technology to obfuscate its payload and evade security filters. “Appearing to be aided by a large language model (LLM), the activity obfuscated its behavior within an SVG file, leveraging business terminology and a synthetic structure to disguise its malicious intent,” the researchers write.

Stablecoins, Tokenized Deposits, CBDCs: How Banks Are Adopting and Benefiting from the Three Corners of Digital Money

The global financial system is in flux. The relentless pace of innovation, fuelled by the rise of digital assets, is causing a seismic shift. As this change reshapes the landscape, the question increasingly asked by banks and other financial institutions is not if they will be affected, but how they will adapt to the powerful forces of tokenization.

The State of MSP Data Resilience in 2025: Key Challenges, Trends & Solutions for Managed Service Providers

As we move deeper into 2025, the conversation around data protection has fundamentally shifted. What was once a straightforward discussion about backup and recovery has evolved into something far more complex: data resilience. For Managed Service Providers (MSPs) protecting dozens or even hundreds of client environments, this shift isn’t just semantic. It represents a critical evolution in how we think about safeguarding business continuity in an era of escalating cyber threats.

Facing the Storm: Navigating the Complex Challenges of Bot Threats in Web Application and API Security

Picture your online shopping site overwhelmed with fake orders, your customer accounts being drained one after another, or your essential APIs flooded by an endless wave of automated attacks. This is the reality businesses face today—thanks to a fully automated army of cyber criminals determined to cause harm. In this digital bot invasion, businesses of all kinds are under urgent pressure to establish defenses that effectively fight this digital threat.

Mend.io is Recognized in the 2025 GartnerMagic Quadrant for Application Security Testing

The software security landscape is evolving faster than ever, and AI is accelerating this change. As generative and embedded AI become core to how software is developed, tested, and deployed, security must adapt to protect an entirely new layer of risk. At Mend.io, we’ve spent the past year reimagining what Application Security Testing (AST) looks like in this new reality.

Threat-Informed TPRM: A New Standard for Supply Chain Security

Third-party attacks have emerged as one of the most critical threats in the modern cyber landscape. Adversaries increasingly exploit vulnerabilities within external vendors, suppliers, contractors, and service providers to gain indirect access to target organizations, often with severe consequences. These breaches can lead to significant data loss, operational disruption, regulatory penalties, and reputational damage.

What is File Integrity Monitoring (FIM)? Importance and Best Practices

File Integrity Monitoring (FIM) is a process that provides security by monitoring and verifying changes made to critical files, directories, and system configurations in an IT environment. This is accomplished by taking the current state of files, operating system binaries, application files, configuration files, logs, or sensitive data, and comparing them against a known and trusted baseline.