Ai-Governance on CuraSec

zk-SNARK Adversarial Probes Detect Post-Deployment LLM Tampering

Mon, 31 Aug 2026 19:07:02 +0000

Engineer — Learn: Academic framework for detecting model drift after deployment using privacy-preserving proofs; no running systems to patch today, but the black-box token-probe approach is worth tracking as LLM supply-chain integrity tooling matures.
SOC/IR — Skip
Leader — Learn: Offers a governance-relevant framing: proprietary LLMs can be silently altered post-approval, and cryptographic audit frameworks are emerging to address that gap — useful context for AI risk discussions with the board or auditors.

Tue, 25 Aug 2026 11:39:54 +0000

Engineer — Skip
SOC/IR — Skip
Leader — Learn: Vendor-sourced (Akamai) but the framing that a small cohort of AI power users embedding unvetted tools into critical workflows creates concentrated risk is worth noting when building AI acceptable-use policy — size this against your own AI usage data before citing it to the board, given the single-source provenance.

Fri, 21 Aug 2026 11:38:25 +0000

Engineer — Learn: The Meta incident illustrates how approved AI agents can inadvertently exfiltrate data to unintended audiences; worth reviewing how AI tooling in your CI/CD or dev workflows handles authorization boundaries before posting or sharing outputs.
SOC/IR — Learn: The case demonstrates a new category of data-loss event driven by AI agent behavior rather than malicious actors; consider whether current DLP and logging coverage would detect unauthorized AI-driven data postings in internal tools.
Leader — Plan: This is an emerging governance gap requiring policy before controls; establish an AI agent usage policy this quarter that defines approval workflows, data-scope restrictions, and incident classification criteria for AI-driven exposure events.

Tue, 28 Jul 2026 13:01:43 +0000

Engineer — Learn: No active exploitation or specific CVE, but the piece highlights how AI agents can silently accumulate OAuth scopes and API access across SaaS platforms — worth factoring into how teams audit third-party integrations and CI/CD automation going forward.
SOC/IR — Learn: No IOCs, TTPs, or detection content — this is a governance awareness article. Useful background for understanding a new blind-spot category, but yields no immediate hunt or detection action.
Leader — Plan: Shadow AI agents acquiring autonomous permissions across SaaS estates without IT visibility is a real and growing governance gap; add an AI agent discovery and authorization policy to the Q3/Q4 roadmap before ungoverned agents create unaccountable data access or trigger compliance findings.