Agentic AI Paves the Way for Sophisticated CyberattacksAgentic AI Paves the Way for Sophisticated Cyberattacks
Gartner analysts discuss how agentic AI will transform business operations by 2028, while also raising the risk of cyberattacks.
At a Glance
- Threats include operational vulnerabilities, such as identity propagation issues and errors in orchestration layers.
- Risks stem from agent autonomy, code misuse, and vulnerabilities in multi-agent systems.
- Implementing layered safeguards is crucial to secure agentic AI.
Agentic AI is widely predicted to be one of the key technology themes for 2025 due to its ability to autonomously analyze data, make decisions and execute tasks. But it also presents unprecedented risks.
Gartner's recent research report “Top Strategic Technology Trends for 2025: Agentic AI” forecasts that by 2028, 33% of enterprise software will incorporate Agentic AI, 20% of digital storefront interactions will be conducted by AI agents and 15% of day-to-day decisions will be made autonomously.
However, agentic AI is opening the door to advanced cyberattacks, including smart malware, prompt injections and malicious AI agents. Without proper guardrails, organizations face operational disruptions, governance breakdowns and reputational damage.
In this interview, Gartner distinguished vice president analyst Gary Olliffe and research vice president of AI and cybersecurity Jeremy D’Hoinne discuss how organizations can get the most from agentic AI while preventing the introduction of security vulnerabilities.
AI Business: What is agentic AI and what can it do?
Gary Olliffe: Agentic AI uses the knowledge and intelligence that's embedded in LLM-based models to help drive process automation by taking decisions and planning actions rather than just responding to questions.
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