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OpenAI Launches the Agents API in Public Beta, Putting the Codex Harness Behind One API Call
OpenAI released its Agents API in public beta, exposing the managed Codex harness with hosted or self-hosted sandboxes, MCP tools, and subagents.
The Agents API is a managed service built on the open-source Codex harness, handling context compaction, tool search, programmatic tool calling, and multi-agent orchestration. Agents run in OpenAI-hosted sandboxes, self-hosted environments, or partner sandboxes from Blaxel, Cloudflare, Daytona, DigitalOcean, E2B, Modal, Oracle, Runloop, and Vercel. Data residency is US-only and Zero Data Retention is unsupported. Examples use model gpt-6-astra; vendor-reported results include SafetyKit cutting case review cost 60% and Ciridae achieving 4x lower subagent latency.
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AI lets small actors run state-level hacking campaigns, Anthropic report finds
Anthropic's threat report finds AI let a Russian-aligned espionage campaign, a Chinese student-run exploit foundry and ShinyHunters operators run state-grade operations.
Anthropic's report covering December 2025 to August 2026 details a Russian-aligned espionage campaign by actor 'JackPoterz' — matching Midnight Blizzard behaviors — against more than 20 government and defense organizations across Ukraine and Europe, with AI agents autonomously rebuilding Windows implants to evade detections. Chinese undergraduates ran an automated vulnerability-research foundry using Claude agent swarms, yielding more than a dozen potential zero-days in one month. ShinyHunters-affiliated operators used AI to dump over 2,100 Azure access tokens across 40 corporate tenants in 34 hours. Seven Chinese labs including Alibaba, DeepSeek, Moonshot AI, Xiaomi and Zhipu distilled Claude outputs; Alibaba peaked at nearly 3 million exchanges per day from more than 3,500 fraudulent accounts to train its Qwen systems.
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Chinese Hacker Commands DeepSeek via Telegram to Launch Autonomous Attacks
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GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI
GTIG's Q2 2026 tracker shows adversaries adopting agentic AI workflows, including credential harvesting in under six hours and supply chain attacks by UNC6780.
Google Threat Intelligence Group's Q2 2026 report documents adversaries moving from basic prompting to agentic AI workflows and automation, including a cloud compromise followed by agent-enabled mass credential harvesting executed in under six hours. It tracks financially motivated actor UNC6780 (TeamPCP) conducting large-scale open source supply chain compromises across PyPI, npm, and Docker Hub since March 2026, deploying credential stealers. The report also highlights growing targeting of proprietary AI models, source code, prompts, and API credentials, plus LLMJacking practices where adversaries steal developer credentials or hijack cloud infrastructure to run unauthorized AI workloads.
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