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Гайды и статьи об ИИ-агентах по нишам: внедрение, сравнения и лучшие практики. Полные тексты статей доступны на английском — мы переводим избранные материалы по мере роста аудитории.
MCP is now the default way agents connect to tools — and 2025-26 turned it into a proven attack surface. Tool poisoning, prompt injection through MCP responses, over-broad OAuth scopes, malicious server supply chain. Here's the working picture with cited incidents and a defense stack you can actually deploy.
15.07.2026
OpenAI o-series, DeepSeek R1, Claude extended thinking, and Gemini thinking rewrote the agent playbook — but running everything on a reasoning model burns 5-30x the tokens for tasks that don't need it. Here's the 2026 landscape, the routing rules that survive production, and the failure modes to watch.
15.07.2026
Prompt injection is OWASP's #1 LLM risk for a reason — the model can't tell instructions from data. Here's the 2026 threat model, the direct/indirect/tool-based split, the incidents that reshaped it (EchoLeak, CamoLeak, ForcedLeak, Gemini spoofing, GitLab Duo), and the defense stack that actually works — with cited sources.
07.07.2026
Agentic commerce now means agents that shop and pay on behalf of users — a payment-protocol layer that didn't exist 18 months ago. Visa Intelligent Commerce, Mastercard Agent Pay, the Stripe/OpenAI Agentic Commerce Protocol, ChatGPT instant checkout, and what it means for merchants and SMBs.
24.06.2026
Data poisoning is the integrity attack on AI — corrupting training, fine-tuning, RAG, or tool data to plant backdoors or bias outputs. Anthropic's 2025 result (250 documents is enough) reshaped the threat model. Here's the working picture across five attack surfaces with cited sources.
23.06.2026
Context engineering is the 2026 shift from clever prompts to deliberately assembled context — system prompt, retrieval, tool results, scratchpad, and memory. Here's the stack, why it matters, and the patterns that ship.
17.06.2026
Skills, MCP servers, tools, plugins — every AI platform launched a different name in 2025 for adjacent ideas. Here's what each actually is, when to use which, and how the stack fits together.
17.06.2026
The agentic loop is the observe–reason–act–observe cycle that turns an LLM into an agent. Here's how the loop runs, the patterns built on it, and why loop control is where reliability is won or lost.
09.06.2026
How AI agents automate KYC identity verification—document checks, liveness detection, sanctions screening, and ongoing monitoring. Compliance benchmarks and implementation guide.
26.04.2026
How AI agents monitor SLA compliance in real time, predict breaches before they happen, automate escalations, and generate compliance reports. Practical benchmarks.
26.04.2026
How AI agents handle tier-1 SOC triage—correlating alerts, enriching context, classifying severity, and resolving routine incidents autonomously. Benchmarks and implementation guide.
26.04.2026
How AI agents predict flight risk, match employees to internal opportunities, personalize retention interventions, and reduce turnover costs. Benchmarks and implementation guide.
26.04.2026