Deep dives, practical guides, and research on protecting AI systems, models, and data.
Showing 13 to 24 of 26 articles
A Shift to Aggressive AI Cyber Defense On June 2, 2026, the administration formally advanced a new paradigm in national technology security by signing Executive...
Shifting Adversary Focus from Inference to Training As artificial intelligence integration matures across enterprise environments, the cybersecurity landscape i...
The Cloud-Native Pivot to Confidential Compute As organizations navigate the middle of 2026, the enterprise adoption curve for AI workloads has undergone a stru...
A New Breach Vector Emerges in the Developer Workflow In late March 2026, a cascading data breach exposed thousands of downstream SaaS customers when the platfo...
The Single-Neuron Vulnerability Emerges A breakthrough study published by researchers at Apple reveals a fundamental fragility in modern large language model sa...
The Hidden Attack Surface of Distributed Inference Engines As large language model deployments scale from single-GPU instances to distributed clusters, the secu...
The Evolution of Model Extraction Threats Public API model extraction has advanced from theoretical vulnerabilities to deployable industrial attacks. Praetorian...
The Shift from Passive Contamination to Active Harness Exploitation For years, the AI security community treated benchmark manipulation primarily as a data inte...
The Runtime Imperative While infrastructure hardening and pipeline validation have dominated security discussions since the widespread adoption of orchestration...
The New Frontier of Agentic Risk As autonomous AI agents transition from experimental prototypes to critical production workloads, the security paradigm is unde...
The Evolving Threat Landscape for AI Retrieval Pipelines As generative AI systems transition from experimental sandboxes to enterprise-critical workflows, attac...
The Emerging Threat to AI Infrastructure In early 2026, the cybersecurity landscape for artificial intelligence shifted from theoretical vulnerabilities in mode...
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