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Free Research

Anticipating Adversarial Manipulation of AI: Securing Models, Agents, and the AI Value Chain

Price: Starting at USD 1,950
Publish Date: 21 Oct 2026
Code: AN-6661
Research Type: Report
Pages: 15
Actionable Benefits

Actionable Benefits

  • Prioritize Artificial Intelligence (AI) security investments across guardrails, agent identity, posture management, observability, model security, data security, and governance based on market maturity and growth potential.
  • Develop enterprise strategies to mitigate adversarial AI risks across models, agents, prompts, orchestration layers, and software supply chains.
  • Identify technology vendors and ecosystem partners capable of securing AI workloads across the entire AI lifecycle.
  • Understand how AI security requirements differ between enterprise, operational technology, edge AI, and defense environments.
Research Highlights

Research Highlights

  • Comprehensive analysis of the expanding AI attack surface, including foundation models, Retrieval-Augmented Generation (RAG) systems, Agentic AI, Application Programming Interfaces (APIs), prompts, orchestration layers, and data supply chains.
  • Market assessment of defensive, responsive, offensive, and assurance-based AI security technologies, including forecasts for adoption trends and growth opportunities.
  • Evaluation of leading AI security vendors and platform providers across major security control domains.
  • Strategic recommendations for A&D organizations focused on mission assurance, operational resilience, and sovereign AI security.
Critical Questions Answered

Critical Questions Answered

  • What forms of adversarial manipulation present the greatest risk to enterprise and operational AI systems?
  • Which AI security controls are experiencing the strongest market adoption and commercial demand?
  • How should organizations secure AI agents, foundation models, data pipelines, and orchestration layers?
  • What role do governance, compliance, and assurance frameworks play in AI security strategies?
  • How will AI security requirements evolve for edge deployments and mission-critical Aerospace and Defense (A&D) applications?
Who Should Read This?

Who Should Read This?

  • Chief Information Security Officers (CISOs), Chief Risk Officers, and security leaders responsible for AI governance and cybersecurity strategy.
  • Product, technology, and innovation executives evaluating the risks and security implications of AI adoption.
  • Compliance, governance, and risk management professionals responsible for AI regulatory readiness and assurance.
  • Defense contractors, aerospace organizations, public-sector agencies, and critical-infrastructure operators deploying AI in high-assurance environments.

Table of Contents

1. KEY FINDINGS

2. KEY FORECASTS

2.1. DEFENSIVE
2.2. RESPONSIVE
2.3. OFFENSIVE
2.4. SECURITY ASSURANCE

3. KEY COMPANIES AND ECOSYSTEMS

4. RECOMMENDATIONS FOR AEROSPACE & DEFENSE SECTORS