TLDR: Salesforce has significantly expanded its Agentforce platform with new agentic AI features aimed at automating enterprise operations, enhancing cybersecurity, and improving customer experience. This expansion includes deeper integration with Google’s Gemini AI models. Concurrently, discussions are intensifying around the inherent security risks associated with agentic AI, such as memory poisoning, tool misuse, and privilege compromise, prompting calls for robust mitigation strategies.
Salesforce is making significant strides in the artificial intelligence landscape with the expansion of its Agentforce platform, a new generation of “agentic AI” designed to automate a wide array of enterprise operations. Announced on October 13, 2025, the enhanced suite aims to transform IT service desks, compliance operations, and customer-facing engagement by shifting from traditional manual, ticket-based systems to more efficient, conversational, and autonomous workflows. Early adopters of Agentforce include major enterprises such as Globe Business, UNESCO, Piedmont Healthcare, EPB, CMC Energy, and Cervello, leveraging the platform to unify IT, security, compliance, and sales processes within Salesforce’s trusted environment.
A key development in this expansion is the deeper integration of Google’s Gemini AI capabilities into Salesforce’s Agentforce platform, a partnership initially announced on February 24, 2025. This collaboration provides businesses with greater flexibility in developing AI-driven solutions, moving beyond reliance on a single model provider. Salesforce customers can now build Agentforce agents utilizing Google’s Gemini AI models, enabling these agents to process and interpret multimodal data, including images, audio, and video, to manage more complex tasks.
However, the increasing autonomy and capabilities of agentic AI, including those powered by Gemini, have brought security risks to the forefront of industry discussions. Security researchers and experts are highlighting potential vulnerabilities such as “memory poisoning,” “tool misuse,” and “privilege compromise” as top concerns for 2025. These advanced AI agents operate with user privileges across authenticated sessions, granting them access to sensitive data like bank accounts, emails, and cloud storage, thereby escalating the risk of data breaches.
Nikesh Arora, CEO of Palo Alto Networks, voiced these concerns in September 2025, warning that leading web browsers are rapidly integrating agentic AI tools that will seek extensive access to user browsers for tasks like booking travel. This poses a significant challenge for enterprises, which seek to maintain control over employee browsing activities and data security. The global AI browser market is projected to grow substantially, from $4.5 billion in 2024 to an estimated $76.8 billion in 2034, underscoring the widespread adoption and the urgent need for robust security frameworks.
Salesforce’s Senior Vice President of Product Management, Marla Hay, emphasized the company’s commitment to mitigating these risks, stating, “We built Agentforce security and compliance capabilities to reduce the most painstaking, tedious responsibilities of security and risk professionals.” She added that these features enable users to “focus on higher-value tasks while mitigating risks to their Salesforce data.” Similarly, Paul Mackay, CIO at CMC Energy, noted that Agentforce provides his team with “an intelligent agent to accelerate risk detection by allowing rapid, natural-language queries to quickly identify, assess, and respond to threats.”
Also Read:
- Salesforce Unveils Agentforce for Autonomous Enterprise AI; Industry Grapples with Agentic AI Security Risks
- Salesforce Bolsters Agentforce AI Capabilities Through Enhanced Partnerships with OpenAI and Anthropic
Despite the clear benefits in automation and efficiency, the strategic pivot towards agentic AI also presents a potential disruption to traditional business models. Some analysts suggest that Agentforce could “cannibalize” Salesforce’s core CRM products, much like Gemini is impacting Google Search, by automating tasks that previously required manual input and multiple licenses. This shift could lead to fewer licenses and reduced usage of traditional interfaces, prompting Salesforce to adapt its strategy for growth and survival in an evolving AI-driven market.


