Halil, I’d split this by where AI has authority. Act this week on exposed AI developer infrastructure, agent memory poisoning, and AI-assisted dependency introduction. The current handoff says attackers are scanning MCP and AI developer endpoints for cloud metadata SSRF, and that is operational risk, not AI hype. Engineering should immediately inventory MCP/Ollama/OpenAI-compatible endpoints, bind them to localhost/VPN/private networks, require auth/mTLS, remove secrets from assistant config files, and block agent/tool runtimes from reaching cloud metadata services unless explicitly needed. SOC should hunt for external probes against AI API paths and alerts on agent hosts calling metadata endpoints such as cloud metadata services after inbound requests.
For MemGhost-style memory poisoning, the important point is persistence: The Hacker News item says crafted email can poison an AI agent’s memory, and the Dark Reading item says compromised memory/context files can cause insecure package selection, secret exposure, and behavior persistence across sessions. Engineering controls: treat email, Slack, web pages, tickets, and docs as untrusted input; require explicit approval before writing to persistent memory; store memory with provenance and diffs; and separate “retrieved facts” from “instructions.” SOC controls: log every memory write/read, alert on memory entries containing imperative language like “always,” “ignore,” “exfiltrate,” “install,” or credential references, and review memory changes after suspicious inbound messages.
For slopsquatting, act this week because it is classic package abuse amplified by AI coding assistants, not a speculative model failure. The source pack points to AI coding tools hallucinating package names that attackers can register. Engineering should enforce dependency allow-lists, private registry mirrors, lockfiles, package provenance checks, and human review for AI-suggested new dependencies. SOC should watch for first-seen package installs, install scripts, registry 404-to-install patterns, and dependency additions in AI-authored PRs.
I’d put Copilot workflow jailbreaks and VEXAIoT mostly on the watchlist unless they touch privileged automation. For Copilot-style workflow abuse, the immediate control is not “ban Copilot”; it is least-privilege CI: restrict GITHUB_TOKEN, require review for .github/workflows changes, block secrets in untrusted PR workflows, and alert on new id-token: write, write-all, curl | bash, or unpinned actions. VEXAIoT is marked as PoC-available in the handoff, so treat it as a signal that IoT exploitation is getting easier, not as proof of mass autonomous exploitation. Patch exposed IoT, remove default creds, segment management interfaces, and monitor for recon/exploit bursts—but don’t let the AI branding outrank active exposed services.