Artificial Intelligence has rapidly evolved from a productivity enabler into a complex and expanding attack surface. As enterprises embed GenAI, LLMs, copilots, and AI agents across core business systems, security leaders now face a new class of risks opaque decision logic, uncontrolled access paths, third-party model dependencies, and AI-driven attack amplification.

In this research-led CISO briefing, QKS Group analysts examine how AI systems are creating entirely new attack paths, why traditional security controls are insufficient, and what CISOs must prioritize in 2026 to secure, govern, and contain enterprise AI at scale. Drawing from SPARK Plus buyer intelligence, this session translates market signals, real-world incidents, and architectural shifts into clear, actionable guidance for executive security decision-making.

What to Expect

This session delivers a concise, insight-driven walkthrough of the AI security threat landscape and the control gaps emerging across enterprise AI deployments. Attendees will gain clarity on how attackers are exploiting AI systems today, how AI is being weaponized as a force multiplier, and how CISOs should recalibrate governance, access, and threat modeling strategies for the year ahead

Agenda:

How AI Systems Create New Attack Paths
- AI agents embedded into business workflows bypass traditional identity and network boundaries
- LLM integrations introduce indirect prompt injection, data exfiltration, and tool misuse risks
- Model Context Protocol (MCP) and API-based AI connectivity expand the enterprise trust perimeter
What Attacks Are Already Happening
- Real-world examples of prompt abuse, training data leakage, and AI-assisted insider misuse
- Third-party AI models becoming unmonitored ingress points into enterprise systems
- Shadow AI usage creating invisible risk outside formal security governance
How Attackers Use AI as a Multiplier
- Automated reconnaissance, phishing, fraud, and social engineering at unprecedented scale
- AI-enhanced insider threats accelerating data theft and policy evasion
- Faster exploit development and attack chain optimization using GenAI tools
What CISOs Should Do Now
- Shift from tool-centric AI security to control-plane and architecture-level governance
- Redefine access, monitoring, and threat modeling for AI-native environments
- Align AI security strategy with identity, data protection, and SOC operations

Metrics That CISOs Must Care About in 2026

This session highlights the specific control metrics security leaders should actively track as AI adoption scales:

AI Access Definition Coverage: Percentage of enterprise AI systems with explicitly defined access policies, identities, and privileges
Third-Party AI Security Assurance: Verification of built-in security, data handling, and isolation controls for external AI models connected to enterprise systems
AI Connectivity Risk Visibility: Ability to continuously map and monitor AI-to-system interactions, APIs, and MCP-enabled workflows
Threat Modeling Maturity for AI: Existence of AI-specific threat models, misuse scenarios, and safety rules across development and runtime

AI Security Posture Management: What'ss Changing

Explore how AI Security Posture Management (AI SPM) tools are evolving to address the unique challenges of AI connectivity and control. Analysts will discuss practical frameworks for:

Governing MCP-enabled AI deployments across cloud, SaaS, and internal platforms
Monitoring AI behavior, tool invocation, and data access in real time
Enforcing safety rules, usage boundaries, and policy guardrails without stalling innovation

Analyst Recommendations & Best Practices

QKS Group analysts will share practical guidance on:

Defining access and identity controls for every AI system within the organization
Securing third-party and embedded AI models as first-class enterprise assets
Building AI-specific threat modeling strategies that anticipate misuse and abuse
Establishing safety rules that align with regulatory, ethical, and operational requirements
Preparing security teams for AI-driven incidents and investigations in 2026

Who Should Attend

This session is designed for senior leaders responsible for securing AI-driven enterprises

CISOs, CIOs, and Chief Risk Officers
Security Architecture and Engineering Leaders
SOC and Threat Intelligence Teams
Digital Transformation and AI Governance Leaders

Why Attend

Gain exclusive access to QKS Group’s SPARK Plus buyer intelligence and forward-looking AI security research. Leave with a clear understanding of how AI is reshaping the attack surface—and the concrete actions required to secure, govern, and contain AI systems with confidence in 2026.