{"id":187082,"date":"2026-02-13T09:26:00","date_gmt":"2026-02-13T14:26:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/13\/2026-turns-cisos-into-business-continuity-pieces-fortinet\/"},"modified":"2026-02-13T09:45:09","modified_gmt":"2026-02-13T14:45:09","slug":"2026-turns-cisos-into-business-continuity-pieces-fortinet","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/02\/13\/2026-turns-cisos-into-business-continuity-pieces-fortinet\/","title":{"rendered":"2026 Turns CISOs Into Business Continuity Pieces: Fortinet"},"content":{"rendered":"

2026 Turns CISOs Into Business Continuity Pieces: Fortinet<\/a><\/p>\n

https:\/\/mexicobusiness.news\/cybersecurity\/news\/2026-turns-cisos-business-continuity-pieces-fortinet<\/a><\/p>\n

Publish Date: 2026-02-13 09:26:00<\/a><\/p>\n

Source Domain: mexicobusiness.news<\/a><\/p>\n

Author: <\/a><\/p>\n

Using an unordered list, summarize the following article with between 4 and 8 key points. Fortinet projects that by 2026, CISOs will evolve into business continuity leaders as AI-driven automation expands cyber risk beyond traditional security models. In Mexico, where banks, telecoms, manufacturers, and nearshoring-driven supply chains increasingly rely on AI systems, this shift is critical. Rising regulatory scrutiny, geopolitical exposure, and cross-border digital operations force Mexican boards and CISOs to prioritize resilience, governance, and operational continuity as core enterprise capabilities.<\/p>\n

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The systemic integration of AI and the rapid expansion of the attack surface determine that 2026 is the year of strategic resilience. Chief information security officers (CISOs) must transition toward roles focused on business continuity to mitigate risks arising from automated decisions made at machine speed, says Fortinet.<\/p>\n

The transformation of the threat landscape requires a fundamental shift in the responsibilities of technology leadership. According to the CISO Predictions for 2026 by Fortinet, “CISOs are no longer only responsible for securing systems; they are responsible for ensuring that AI-driven business processes remain reliable, available, and controllable under stress.”<\/p>\n

The operational environment of 2026 is defined by the massive adoption of AI across all business functions, increasing geopolitical tension, and the continued industrialization of cybercrime. Data from the World Economic Forum Global Cybersecurity Outlook (GCO) 2026 indicate that 72% of organizations reported an increase in cyber risks during the previous year. This risk increases as AI systems make decisions at machine speed, frequently operating outside of traditional security workflows.<\/p>\n

The current problem is that the attack surface is expanding faster than traditional security models can adapt. In this environment, when a failure occurs, it propagates faster and further than in previous years. Consequently, resilience is no longer a secondary product of security; it must be an organizing principle for the entire organization.<\/p>\n

Discussions at the World Economic Forum Annual Meeting in Davos have moved AI beyond a purely technological discussion. Leaders now treat AI as a governance risk and a resilience issue with direct implications for economic stability, national infrastructure, and global trust. These conversations focus on systemic exposure, including the concentration of AI capabilities, dependence on shared models, and the risk of cascade failures when highly connected and automated systems behave in unexpected ways.<\/p>\n

For the modern CISO, these global discussions influence regulatory direction and executive expectations. Boards of directors now recognize that AI-related risks cannot be delegated to isolated teams. Decisions regarding AI deployment, data access, and automation have a direct impact on operational continuity, regulatory exposure, and corporate reputation.<\/p>\n

To address the projected challenges for 2026, Fortinet identifies five strategic vectors that organizations must adopt to ensure business continuity.<\/p>\n

Strategy 1: Building for Business Continuity in an AI-Driven Enterprise<\/p>\n

Large-scale disruption is no longer a hypothetical scenario. AI increases both the probability and the scope of a failure. Therefore, business continuity planning must evolve to account for these dependencies.<\/p>\n

CISOs must redefine the Minimum Viable Business (MVB) of the organization by identifying which AI-driven systems are indispensable for continued operation. Leadership must determine which automated decisions require pausing or elimination during an incident. Resilience in 2026 requires an understanding of how AI amplifies failures when models, data configurations, or agents become unreliable. Traditional continuity plans rarely account for AI behavior under stress. Drills must now include scenarios involving AI failure, corrupted data pipelines, and autonomous actions that require rapid human intervention.<\/p>\n

Strategy 2: Treating AI as a High-Risk Capability<\/p>\n

AI is being integrated across the enterprise, often outside the visibility of traditional security teams. For instance, marketing teams use generative tools, and developers integrate external models. Business units implement automation to accelerate decisions, and each of these factors carries risks.<\/p>\n

AI systems can leak confidential data, suffer manipulation through adversary orders, or adopt unsafe behaviors via prompt injection. Furthermore, agentic AI introduces complexity because autonomous agents interact with other systems and identities without direct human oversight. In 2026, CISOs must treat AI as a high-risk capability that demands explicit governance. This governance includes defining ownership, applying access controls, protecting training and inference data, and monitoring AI behavior in production. AI must be subject to the same scrutiny as any system capable of significantly impacting the business.<\/p>\n

Strategy 3: Strengthening Identity Controls for Humans, Machines, and AI Agents<\/p>\n

Identity has become the control plane of modern environments. The “CISO Predictions for 2026” highlight non-human identity as a growing source of systemic risk. A single compromised machine identity or agent can propagate through environments in seconds.<\/p>\n

Today, non-human identities already outnumber human users in many organizations. AI agents add a new layer of risk as they authenticate, query systems, and take actions at scale. In an AI-driven enterprise, an identity breach is a failure of resilience. CISOs must ensure that identity controls remain consistent among users, machines, APIs, and AI agents. This strategy requires continuous verification and the application of least privilege. Identity governance must also account for automation, scalability, and speed.<\/p>\n

Strategy 4: Reinforcing Collaboration as AI Blurs Traditional Boundaries<\/p>\n

AI dissolves traditional organizational borders. Decisions previously made by individuals are now distributed among systems, teams, and automated workflows. During incidents, this complexity can slow the response if roles and responsibilities are not clear.<\/p>\n

No organization can develop resilience against AI in isolation. Instead, resilience depends on collaboration. CISOs must align leadership across security, IT, data science, legal, risk, and the executive suite. These groups must share assumptions about AI risks and response protocols. Externally, collaboration with peers, partners, and public sector organizations becomes more crucial as AI-driven threats expand globally. Cybersecurity is no longer only an enterprise problem; it is a shared responsibility.<\/p>\n

Strategy 5: Assuming AI-Accelerated Disruption and Remaining Adaptive<\/p>\n

AI shortens timelines, as attackers adapt faster and errors propagate with greater speed. Regulatory expectations also evolve more rapidly. In this environment, the appropriate mindset is to assume AI-accelerated disruption.<\/p>\n

This mindset prioritizes continuous testing, the periodic reassessment of AI use cases, and rapid feedback between security and business teams. Resilient organizations treat adaptation as a continuous discipline rather than an annual review. Effective CISOs in 2026 will be those who understand AI not only as a technology but as a force that transforms risk, governance, and continuity.
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