Gartner's Top 5 Actions for CISOs by End of 2026
Gartner Advises CISOs to Prioritize AI Risks, Preemptive Security
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Executive Summary
Technology research and consulting firm Gartner has published a strategic advisory outlining five key actions for Chief Information Security Officers (CISOs) to take by the end of 2026. The guidance, released on September 30, 2026, stresses the urgent need for security leaders to navigate the disruption caused by Artificial Intelligence (AI). Gartner recommends that CISOs focus on budgeting for preemptive security, treating advanced AI models as an insider threat, and guiding their organizations through a landscape of AI-augmented cyberattacks. This proactive stance is presented as a critical opportunity for CISOs to shape executive strategy and secure their organizations against the next wave of threats.
Regulatory Details
While not a formal regulation, Gartner's guidance provides a strategic framework for CISOs to align their security programs with emerging technological risks. The five key actions recommended are:
- Guide the Executive Committee Through AI Disruption: CISOs must translate the complex risks of AI into business-relevant terms to inform executive decision-making.
- Budget for Preemptive Security: Shift budget allocation from purely reactive measures (detection and response) to proactive capabilities like threat exposure management and attack surface reduction.
- Treat All Frontier AI as an Insider Risk: Develop governance policies for autonomous AI agents, treating them as privileged insiders with the potential to cause significant damage if compromised.
- Reframe the Narrative to Emphasize Resilience: Move the conversation from risk avoidance to building a resilient organization that can withstand and recover from attacks.
- Prepare for Quantum Computing Risks: Begin planning for the long-term threat of quantum computing to modern cryptography.
Affected Organizations
The guidance is aimed at CISOs and senior security leaders across all industries, particularly those in large enterprises that are early adopters of AI technologies or are high-value targets for sophisticated threat actors.
Compliance Requirements
To align with Gartner's recommendations, organizations should focus on several key areas:
- AI Governance: Establish a formal AI governance committee and policy framework. A Gartner survey found that 54% of organizations currently have no defined approach to limiting access for AI agents.
- Budgetary Shift: Security budgets should be re-evaluated to allocate more resources to proactive security tools and programs. Gartner notes that 76% of CISOs rank AI-driven vulnerability discovery as a top emerging risk, justifying this shift.
- Insider Risk Program: Expand existing insider risk programs to include autonomous AI agents. This involves creating policies for governing AI actions based on their privileges and implementing "guardian agents" to monitor and constrain their behavior.
Impact Assessment
The primary impact of these trends is that traditional security paradigms are becoming obsolete. AI-driven attacks reduce the time and skill required for adversaries to succeed, making reactive detection and response insufficient. Organizations that fail to adapt will face a higher likelihood of successful, high-speed attacks. For CISOs, this is a pivotal moment. By proactively addressing AI risks and championing a preemptive security posture, they can elevate their role from a technical manager to a strategic business advisor. Conversely, those who fail to adapt risk becoming irrelevant and leaving their organizations exposed.
Compliance Guidance
To tactically implement Gartner's advice, CISOs should consider the following action plan:
- Immediate (Q4 2026): Brief the board and executive committee on the specific risks and opportunities of AI for the organization. Initiate a pilot program for an Attack Surface Management (ASM) tool to gain visibility into external exposures.
- Short-Term (H1 2027): Form a cross-functional AI governance working group including representatives from legal, IT, and business units. Develop a draft AI usage policy and begin classifying AI systems based on their potential action privileges.
- Mid-Term (H2 2027): Based on the ASM pilot, formalize a continuous threat exposure management program. Reallocate a portion of the 2028 security budget from reactive tools to preemptive capabilities.
- Long-Term (2028+): Implement technical controls for AI governance, such as "guardian agents" or other sandboxing technologies. Begin research and planning for post-quantum cryptography migration.
Timeline of Events
MITRE ATT&CK Mitigations
This mitigation, which involves actions taken before an attack occurs, directly aligns with Gartner's advice to budget for preemptive security and manage threat exposure.
While not directly mentioned, governing AI agents can be compared to managing highly privileged service accounts, requiring strict configuration and monitoring.
Guiding the executive committee and reframing the narrative is a form of strategic training and awareness aimed at senior leadership.
D3FEND Defensive Countermeasures
Gartner's call for 'preemptive security' is embodied by a Continuous Threat Exposure Management (CTEM) program. CISOs should champion the implementation of a CTEM cycle: Scoping (defining business-critical assets), Discovery (mapping the attack surface), Prioritization (focusing on the most likely attack paths), Validation (testing if vulnerabilities are truly exploitable), and Mobilization (driving remediation). This moves security from a reactive, vulnerability-centric model to a proactive, exposure-focused approach. By continuously modeling and testing attack paths, organizations can fix the weaknesses most likely to be exploited by AI-augmented attackers before a compromise occurs.
To address the recommendation of treating frontier AI as an insider risk, CISOs must establish a formal AI Governance framework. This involves creating an inventory of all AI systems, especially autonomous agents, and classifying them based on their level of privilege and potential impact. Access controls for these AI agents must be strictly defined and enforced, following the principle of least privilege. Security teams should develop 'guardian agents' or monitoring wrappers that audit the actions of production AI systems in real-time, alerting on any behavior that deviates from its intended function or violates policy. This provides a critical layer of oversight for non-human actors that can operate at machine speed.
Timeline of Events
Gartner publishes its advisory with five key actions for CISOs.
Sources & References
Article Author
Jason Gomes
• Cybersecurity PractitionerCybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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