From ransomware and insider threats to advanced persistent attacks, the complexity and scale of cyber risks are growing faster than traditional security operations can handle. Security teams are ...

What Does It Mean to Manage Non-Human Identities Effectively? Imagine where every digital entity, from simple applications to complex systems, functions like travelers in an international airport. If ...

Opportunities, Architecture, and Challenges: A Systematic Review,” published in Account Audit, the authors argue that AI is expanding audit coverage and improving anomaly detection, while also ...

Zapier reports that AI security is crucial as AI usage grows, presenting risks like data breaches and adversarial attacks while also enhancing cybersecurity.

Many freight companies are exploring AI to mitigate increasing theft and fraud, but they should first understand the role AI can play and how to implement it responsibly.

Organizations increasingly are turning to LLM-based autonomous agents to detect and prevent threats to their networks. As cybersecurity threats grow, artificial intelligence (AI) is revealing itself ...

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

The global payments ecosystem is undergoing a fundamental transformation. For decades, transaction security relied on static rules and reactive fraud detection. Today, artificial intelligence is ...

NightBeaconAI is the threat analysis engine operating inside the Binary Defense SOC. It analyzes logs, alerts, files, emails, and command-line activity across multiple formats and produces ...