Singapore Launches Three AI Safety Initiatives
Oct 15, 2026
Cybersecurity
NSS Labs Introduces AI Protection Systems Test Framework
Apr 28, 2026
NSS Labs has released the AI Protection Systems test methodology, a framework for evaluating the security of enterprise AI deployments across eight key dimensions, including prompt injection resistance and data exfiltration prevention.
NSS Labs announced in a press release the release of its AI Protection Systems (AIPS) test methodology. The framework establishes a comprehensive structure for evaluating the security of enterprise AI deployments.
The AIPS methodology uses a multi-dimensional adversarial testing approach to reflect the complexity and unpredictability of modern AI threat environments. It assesses AI protection systems across eight dimensions: prompt injection resistance, data exfiltration prevention, system resilience, policy enforcement accuracy, agentic AI and tool invocation security, observability and auditability, performance and scalability, and cross-model integration.
NSS Labs is accepting feedback from enterprises and security vendors on the current version of the methodology until May 15.
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Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
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