In-depth guides, industry analysis, and thought leadership on smart contract security, Web3 risk, and the evolving threat landscape.
Why an isolated agent runtime, target-side egress restrictions and private model inference solve different containment problems in an agentic pentest....
A practical evaluation design for agent monitoring: measure detection, authority reduction and the actions completed before containment....
Agent Skills standardization raises a practical assurance problem: review instructions, scripts, permissions and runtime differences before enterprise reuse....
Use access, evidence provenance, declared restrictions and review independence to evaluate an enterprise AI security assessment....
Long-running agent assurance should evaluate revocation, external stop controls and retained task state at several points in an authorized workflow....
Design model fallback and routing rules that preserve sensitive-workload requirements during an agentic assessment....
How FailSafe Swarm applies deterministic command gates, runtime scope enforcement, and sandboxing so autonomous pentest agents cannot damage target systems....
Singapore's latest cyber direction should not be read as just another compliance update. It is a board-level evidence problem. Here's what CSA's Frontier-AI dir...
Separate behavior training from retrieval context when evaluating a cyber model and its assessment workflow....
Anthropic recently proved that AI is superior to humans at vulnerability discovery. We explore the economics of their $20,000 Mythos scaffold, and how FailSafe ...
Assess how quantization and serving choices affect security-task evidence, reliability and resource use....
Anthropic’s Claude Mythos Preview proved AI is ready for offensive security. As AI-assisted attacks scale and overwhelm platforms like HackerOne, CISOs must har...