AI Security Threat Report
Known vulnerabilities and active threats facing enterprise AI deployments. Sources: OWASP, Cisco, IBM, Palo Alto Unit 42, Teleport, Cyberhaven.
77% of enterprises reported an AI-related security incident in 2025
Average cost: $5.72M per breach, a 13% increase year-over-year. Only 11% of enterprises have security tools specifically designed to protect AI systems (Teleport/IBM).
Top 10 AI Security Threats: LLM and Agentic Systems
Threat categories: OWASP GenAI Top 10 2025 (CC BY-SA 4.0). Exposure statistics: Cisco, Palo Alto, Cyberhaven, Teleport, Pentera, SlashNext.1
Prompt Injection
73% of production AI deployments vulnerable. Source: Cisco State of AI Security 2026
2
Sensitive Data Exposure
60% of AI data-privacy incidents tied to input manipulation. Source: Palo Alto Unit 42
3
Supply Chain Vulnerabilities
48% of multi-agent systems propagate attacks across agent boundaries. Source: OWASP 2025
4
Excessive Agency / Privilege Abuse
70% of AI systems granted more access than equivalent human role. Source: Teleport 2026
5
Agentic Goal Hijack
84% attack success rate in agentic systems with auto-execution enabled. Source: OWASP 2025
6
Shadow AI / Unauthorized Tool Use
68% of orgs experienced data exposure from unsanctioned AI tools. Source: Cyberhaven Labs 2026
7
Model and Data Poisoning
19% of enterprise AI security audits flagged training data integrity issues. Source: Pentera 2026
8
Deepfake and AI-Generated Fraud
Synthetic media attacks up 62% YoY. Source: SlashNext State of Phishing 2025
9
Insecure Output Handling
40% of successful AI attacks enabled downstream data exfiltration. Source: Palo Alto Unit 42
10
Sensitive Data in AI Inputs
39.7% of all enterprise data moved into AI tools is sensitive. Source: Cyberhaven Labs 2026
$5.72M
average cost of an AI-related breach in 2025: the highest on record, up 13% from 2024.
Source: IBM Cost of Data Breach Report 2025
39.7%
of all data moved into AI tools involves sensitive data. The average employee inputs sensitive data once every 3 days.
Source: Cyberhaven Labs 2026
80%
of current enterprise security stacks are entirely unprepared to detect autonomous AI agent threats, including privilege escalation and lateral movement.
Source: OpenAI Safety Report, Google DeepMind
82%
of hackers now use AI in their attack workflows, up from 64% in 2023. AI-generated phishing attacks are 1,265% more common than 2022.
Source: Bugcrowd, SlashNext State of Phishing
Enterprise AI Security Readiness vs. Threat Exposure
Percentage of enterprises at each maturity stage: the readiness gap is the defining risk of 2026Security Readiness Checklist
Top actions your CISO should take this quarterAudit all AI tools for data handling practices before deployment
Implement least-privilege access controls for all AI systems
Establish a formal AI incident response plan and test it quarterly
Deploy prompt injection defenses on all customer-facing AI surfaces
Create a shadow AI policy and detection mechanism
Classify all data that could enter AI systems and apply appropriate controls
Require security review before any agentic AI system is given autonomous execution capability
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