Most accounting firm owners believe their security is reasonable. Antivirus is installed, there is a firewall on the router, and yet, the email system catches obvious spam. That setup feels like a defensible position, until you understand what attackers are actually coming for. Your systems hold Social Security numbers, EFIN

AI agents are being handed the keys to the kingdom. Our research shows they can’t always be trusted to hold them. A form asking for an email address on a mock website. That was all it took for an AI agent running on an uncensored LLM to dump its entire

Engineering Multi-Agent Architectures for Autonomous Penetration Testing Introduction In the Singapore government, thousands of systems serve both the public and public officers. Securing these systems starts with knowing their vulnerabilities, and one of the most effective ways to find them is through penetration testing (pentesting), by simulating real-world attacks against

Geopolitical shifts, the strategic use of key supply chains, and the rapid spread of generative AI are transforming how organizations handle risk. As we approach 2026, businesses must shift from reactive security to proactive strategies that rely on intelligence. In this new environment, cyber strategy, operational stability, and awareness of

Zero Trust is no longer a controversial idea. The industry settled that debate years ago. Identity matters. Perimeters are gone. Implicit trust is dangerous. Continuous verification is the goal. And yet, if you ask most security leaders how effective their Zero Trust program really is, the answer tends to be