Analysts will explore security and risk trends during the Gartner Security & Risk Management Conference, which will be held on August 4th and 5th in São Paulo (SP).
By 2028, 50% of all enterprise cybersecurity incident response efforts will focus on incidents involving customized Artificial Intelligence (AI)-driven applications, according to the Gartner, Inc., A business insights and technology company.
“"AI is evolving rapidly, but many tools – especially custom AI applications – are being implemented before they are fully tested. These systems are complex, dynamic, and difficult to protect over time. Most security teams still lack clear processes for dealing with this." AI-related incidents, "This means that problems may take longer to resolve and require significantly more effort," he says. Christopher Mixter, Vice President Analyst at Gartner.
Gartner recommends that security leaders get involved from the outset in custom AI application projects to ensure there is sufficient time, resources are planned, and expectations are managed for adequate security controls.
This is one of the main cybersecurity-related topics that will be covered during the event. Gartner Conference Security & Risk Management, which will be held on August 4th and 5th in São Paulo (SP). Gartner recommends that cybersecurity leaders take these predictions into account in their security strategies over the next two years.
By 2028, more than 501% of companies will use AI security platforms to protect the use of third-party Artificial Intelligence services and custom AI applications.
AI security platforms offer organizations a unified way to manage the new risks associated with the rapid adoption of this technology, such as prompt injection, data misuse, and more. By centralizing visibility and control, these platforms help Chief Information Security Officers (CISOs) enforce usage policies, monitor AI activities, and apply consistent security measures across third-party and custom Artificial Intelligence applications. Security leaders should evaluate AI security platforms to ensure they can protect both types of applications.
By 2027, manual AI compliance processes will expose 75% of regulated organizations to fines exceeding 5% of their global revenue.
Despite differing regulatory approaches worldwide, AI regulations converge on a universal demand for a systematic approach to risk management. Even if CISOs manage to stay ahead of regulations and standards for security, privacy, and cybersecurity risk management, new regulations concerning AI security call everything into question. For greater success, Gartner recommends establishing cybersecurity risk governance and compliance, and enabling compliance through technology.
By 2030, 331% of IT work will be dedicated to remediating AI data debt to ensure the security of Artificial Intelligence.
The data from most organizations is not... AI-ready, Poorly protected and unstructured data is a major barrier to the adoption of Artificial Intelligence. In response, cybersecurity leaders are expanding data loss prevention to monitor and restrict information flows triggered by events and data access requests from Generative Artificial Intelligence (GenAI) and other technologies. Agentic AI. Gartner recommends that they collaborate with data, analytics, and AI leaders to define a structured program for data discovery, assessment, and remediation of access control.
By 2027, organizations will need comprehensive sovereignty over their cloud security controls to address ongoing geopolitical instability.
Geopolitical instability and local regulations are creating unsustainable risks to data, requiring many organizations to make sovereignty a fundamental part of their cyber resilience approach. This will necessitate changes in vendor selection. cloud-linked offers and in prioritization efforts as geopatriation requirements intensify. Cybersecurity leaders must play an active role in defining organizational sovereignty requirements, including those mandated by local regulations.
By 2028, 70% of CISOs will utilize identity visibility and intelligence capabilities to reduce the attack surface of identity and access management (IAM), decreasing the risks of credential compromise.
Identity has become a major attack surface as organizations struggle to manage the rapid growth and complexity of human and machine identities. This leaves visibility gaps caused by siloed identity and access management (IAM) tools and increases the risk of misconfigurations. Gartner recommends that these blind spots be addressed through the integration of unified, AI-powered identity visibility and intelligence platforms to improve detection and remediation.
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About the Gartner Security & Risk Management Conference
Gartner analysts are presenting the latest insights for security and risk management leaders during the Gartner Security & Risk Management Conference, which is taking place this week in [location]. Sydney(Australia). Other dates and locations for the Gartner Security & Risk Management Conferences are: June 1-3 inNational Harbor(United States), July 22-24Tokyo(Japan), August 4 and 5Sao Paulo(Brazil) and September 22-24 inLondon(United Kingdom). Follow the news and updates from the conferences atXandLinkedInusing#GartnerSEC.
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