Observed Signal · Nov 2, 2026 · Market Signal · Source: Gartner · Impact: 2/5
Gartner Survey Finds Two New AI-Related Risks Emerge in Third-Quarter 2026 Report
Gartner Survey Finds Two New AI-Related Risks Emerge in Third-Quarter 2026 Report Audit and Risk
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AI Drives Cyber Spending; Firms See Risks from Autonomous Systems
According to PwC's 2027 Global Digital Trust Insights Survey, 84% of security and finance executives expect their cyber budgets to increase in the next twelve months, up from 78% last year. AI is a top budget priority for 58% of security leaders, yet only 39% have fully formalized continuity plans that address cyber risks. Attacks on AI systems are the top unprepared threat for 50% of respondents, ahead of cloud threats (40%), third-party attacks (34%), and ransomware (33%). Only 22% would allow AI agents to make autonomous decisions in cyber defense, citing reliability, accountability, and skill gaps. Notably, only 47% say cyber risks are regularly on the board agenda. To mitigate, companies are adopting multi-cloud strategies (54%), regional data redundancy (47%), and improved vendor risk management (50%). The survey covers nearly 4,000 executives across 71 countries.
AI Increasing Cyberattack Risk and Supply-Chain Threats
The article argues that AI is amplifying cybersecurity risk in two ways: by expanding the attack surface when platforms add AI features (new data pipelines, APIs, third‑party models, real‑time flows) and by acting as a weapon for attackers (AI‑generated phishing, voice cloning, deepfakes). It cites several incidents: in June 2026 attackers manipulated an AI‑powered account recovery flow to access Instagram accounts (impacting Meta); a May 11, 2026 supply‑chain compromise published 84 malicious versions across 42 @tanstack/* npm packages (19:20–19:26 UTC) that could exfiltrate credentials and affected downstream projects including Grafana Labs, OpenAI, and Vercel; and Microsoft-tracked Tycoon2FA generated tens of millions of phishing emails, linked to ~100,000 compromised organizations. The author urges developers to audit dependencies, harden CI/CD, treat AI integrations as third‑party dependencies, and train users about new social‑engineering risks.
Google Report: AI Doubles Software Vulnerability Disclosures
Google's Threat Intelligence Group reports that the number of disclosed software vulnerabilities has doubled within months, rising from 5,045 in January 2026 to 10,740 by August 2026. The report attributes this surge to the increasing use of AI agents in security research, which uncover different types of flaws than traditional scanners. Notably, 50% of AI-found vulnerabilities lead to remote code execution, compared to 26% for conventionally discovered ones. The report also highlights a rise in exploitation of known 'N-day' vulnerabilities, from 28 in all of 2025 to 75 between January and August 2026, likely accelerated by AI-assisted exploit creation. Additionally, vulnerabilities in AI infrastructure itself are growing, with over 1,500 reports in 2026, focusing on orchestration frameworks like Langflow and inference servers such as vLLM and Ollama. The report advises prioritizing patches based on threat intelligence and recommends AI-powered code reviews for software vendors.
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