The AI cybersecurity market is projected to reach $35.4 billion by the end of 2026, representing an 18.93% compound annual growth rate from its 2025 value of $29.64 billion. This growth is driven by accelerating enterprise adoption of AI and machine learning technologies, coupled with heightened awareness of AI-specific security risks.
2025 marked a turning point for AI security, characterized by significant market consolidation. Palo Alto Networks' acquisition of Protect AI for approximately $700 million, SentinelOne's purchase of Prompt Security for $250 million, and Check Point's acquisition of Lakera signal that major cybersecurity vendors now view AI security as a strategic imperative rather than an emerging category.
However, this growth is tempered by demonstrated risks. OWASP has identified prompt injection as the #1 security risk for Large Language Models, a concern underscored by multiple high-profile data breaches attributed to prompt injection attacks in mid-2025. Regulatory pressure is intensifying, with EU AI Act high-risk compliance requirements taking effect in August 2026.
The global AI in cybersecurity market was valued at $29.64 billion in 2025 and is projected to grow to $35.40 billion in 2026, according to Precedence Research. Long-term projections indicate the market could reach $167.77 billion by 2035, reflecting an 18.93% CAGR.
Grand View Research offers a slightly more aggressive estimate, projecting growth from $25.35 billion in 2024 to $93.75 billion by 2030 (24.4% CAGR).
The specialized AI prompt security market—covering solutions for prompt injection prevention, PII detection, and LLM guardrails—grew from $1.51 billion in 2024 to $1.98 billion in 2025, achieving a 31.5% CAGR. This subsegment is outpacing the broader AI security market.
Source: The Business Research Company, January 2026
The enterprise LLM market reached $8.8 billion in 2025, up from $6.7 billion in 2024, and is projected to grow to $71.1 billion by 2034 (26.1% CAGR). This sustained investment in enterprise AI applications is creating corresponding demand for security solutions.
Source: Straits Research via Index.dev
2025 saw unprecedented consolidation as major cybersecurity platforms moved to acquire AI security capabilities rather than build them internally.
| Date | Acquirer | Target | Est. Value | Strategic Rationale |
|---|---|---|---|---|
| Jul 2025 | Palo Alto Networks | Protect AI | ~$700M | AI model security, lifecycle protection |
| Aug 2025 | SentinelOne | Prompt Security | ~$250M | Runtime AI protection, GenAI security |
| 2025 | Check Point | Lakera | Undisclosed | End-to-end AI security stack |
Protect AI had raised $129 million in funding prior to acquisition. Prompt Security had raised $23 million. Lakera had raised approximately $30 million. The acquisition multiples suggest significant strategic premiums for proven AI security technologies.
The Open Web Application Security Project released its updated LLM Top 10 for 2025, with prompt injection maintaining its position as the #1 risk:
According to NSFOCUS Security Lab, July through August 2025 saw multiple LLM data leakage incidents related to prompt injection worldwide, resulting in exposure of user chat records, credentials, and third-party application data.
The "EchoLeak" vulnerability class, documented in late 2025, demonstrated zero-click prompt injection enabling data exfiltration without any user interaction—a significant escalation in attack sophistication.
| Date | Requirement |
|---|---|
| Feb 2, 2025 | Prohibited AI systems discontinued; AI literacy obligations in effect |
| Aug 2, 2025 | GPAI model transparency requirements; governance obligations |
| Aug 2, 2026 | High-risk AI systems compliance (including financial sector); transparency obligations |
| Aug 2, 2027 | Full high-risk system requirements |
Organizations deploying AI in regulated industries—particularly financial services, healthcare, and critical infrastructure—should prioritize August 2026 compliance planning. Requirements include conformity assessments, system registration, and ongoing monitoring.