A clearer view of today.

Organizations are often drafting AI governance policies that lag behind how employees actually use AI day-to-day. The core issue: governance processes move through meetings and audits, while real AI use happens instantly through prompts, browser copilots, and embedded SaaS features. The result is a visibility and control gap where “shadow AI” can proliferate despite formal policy intent.

Key takeaway: treat AI governance as a continuous control plane, not a periodic compliance exercise—and close the runtime authorization/telemetry gap so security can distinguish “policy-approved AI” from emergent, unsanctioned usage.

Source: Check Point Blog

A malicious GitHub repository can compromise a developer’s machine without including overtly malicious code, by using indirect prompt injection to manipulate AI coding agents. The approach targets agents like Claude Code by steering them to take harmful actions the developer never explicitly authorized. Because the attack hides inside “normal-looking” repo instructions, traditional code review alone may miss the threat.

Key takeaway: secure your AI-assisted software workflow with content-level safeguards (repo trust, prompt/tooling constraints) and agent action governance, including restrictions on what the agent is allowed to execute.

Source: Help Net Security

CISA has listed CVE-2026-12569 in its Known Exploited Vulnerabilities (KEV) catalog for PTC Windchill and FlexPLM, citing ongoing attacker activity. Updated advisories from PTC reportedly include indicators that adversaries are dropping JSP webshells on unpatched instances. KEV inclusion is a clear signal that this is no longer hypothetical—organizations running affected systems should prioritize patching and hunting.

Key takeaway: patch quickly, then validate that no webshells or persistence artifacts remain; treat exposed PLM environments as high-value targets for follow-on compromise.

Source: Help Net Security

Apple released security updates addressing over three dozen vulnerabilities across iOS/iPadOS, macOS, and Safari, including multiple WebKit flaws. Notably, the report highlights that several issues were discovered using AI-assisted techniques (e.g., Anthropic Claude and OpenAI Codex Security). This underscores how quickly AI can accelerate both vulnerability discovery and attacker opportunity windows.

Key takeaway: prioritize device patching across Apple fleets (including browser components) and ensure update adoption is tracked as a security control, not an IT convenience.

Source: The Hacker News

Attackers are reportedly actively exploiting CVE-2026-46817, a critical vulnerability affecting Oracle E-Business Suite, with a focus on takeovers in Oracle Payments. Reported details describe remote, unauthenticated impact that can allow adversaries to seize control of susceptible instances. Active exploitation elevates this from “patch when possible” to “incident-risk today.”

Key takeaway: urgently assess exposure (internet-facing systems, vulnerable components enabled, configuration drift) and patch according to Oracle guidance; start threat hunting for indicators of takeover attempts.

Source: Security Affairs

Recent reporting and research emphasize that AI coding agents can be hijacked through legitimate-looking inputs and authorized toolchains, where each step appears “allowed” but the end behavior is malicious. The broader lesson: perimeter and static controls may not detect agent-mediated actions when the agent is granted developer-equivalent privileges and the malicious instruction is embedded in trusted channels. This moves the security conversation from “policy says yes” to “what did the agent actually do at runtime?”

Key takeaway: implement agent runtime controls—continuous authorization, scoped/short-lived tokens, and SOC attribution that can identify agent-initiated vs human-initiated actions quickly.

Source: VentureBeat