The Regulatory Stack, Part 1: AISVS Has 14 Categories. GATE Has 16 Controls. Here Is the Map.
11 minutes
AISVS tells you what to verify. The AI Act tells you that you must. Neither tells you how to enforce. This is the engineering map between …
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Python
GATE: The Missing Infrastructure Layer for Agentic AI
6 minutes
Prompt guardrails are not governance. When AI agents can take real-world actions at machine speed, you need deterministic enforcement at the …
Security Advisory: Resilience in the Face of the LiteLLM Supply Chain Incident
3 minutes
Sakura Sky confirms zero impact from the LiteLLM supply chain hack (v1.82.7/8). Learn how our 'Zero-Value Target' architecture and Sentinel …
Trustworthy AI Agents: Agent-Native Observability
5 minutes
Traditional telemetry cannot explain LLM reasoning. Agent systems need semantic-level visibility: reasoning graphs, tool-call chains, …
Trustworthy AI Agents: Secure Memory Governance
6 minutes
Agents increasingly rely on long-term memory, embeddings, caches, and shared state. We need strong security and governance primitives around …
Trustworthy AI Agents: Distributed Agent Orchestration
12 minutes
Agents need a control plane. Routing, scheduling, failover, cost-aware prioritization, and cross-agent coordination must be first-class …
Trustworthy AI Agents: Resource Governance
10 minutes
Infinite task loops and runaway agents are already common failure modes. We need quota systems, throttling, and prioritization baked in.
Trustworthy AI Agents: Agent Lifecycle Management
8 minutes
Like microservices, agents need versioning, deployment pipelines, and safe deprecation paths.
Trustworthy AI Agents: Secure Multi-Agent Protocols
6 minutes
Agents need a standardized, authenticated, encrypted, and versioned protocol for inter-agent communication. Right now it is wild-west JSON …
Trustworthy AI Agents: Formal Verification of Constraints
7 minutes
Agents that act autonomously must obey provable invariants. Formal verification provides the missing guardrails for constraints like 'never …
Trustworthy AI Agents: Deterministic Replay
26 minutes
Debugging agents is nearly impossible today. We need the ability to record and replay runs deterministically to diagnose errors and …
Trustworthy AI Agents: Adversarial Robustness
8 minutes
Models need to withstand data poisoning, prompt injection, and inversion attacks. A cleverly crafted input can collapse your system. This …