Agentic AI at RSAC 2025: Key Points Overlooked
3 Points Missing from Agentic AI Conversations at RSAC
As the curtains closed on RSA Conference 2025 (RSAC 2025), one theme dominated the discussions: Agentic AI. This technology, which enables autonomous systems to observe, reason, and act on live data, has moved from speculative potential to operational urgency[2][4][5]. However, amidst the excitement and innovation, several crucial points were often overlooked in the conversations. Let's delve into these missing elements and explore why they are essential for the future of cybersecurity and AI.
Background: What is Agentic AI?
Agentic AI refers to autonomous systems that can make decisions and take actions without human intervention. These systems are not just passive tools but active agents capable of reshaping the cybersecurity landscape[2][4]. At RSAC 2025, agentic AI was hailed as the next frontier of cyber defense, with vendors showcasing its potential in boosting threat detection and resilience[2][4].
Key Points Missing from the Conversation
1. Ethical Considerations
While agentic AI promises significant productivity gains and enhanced security capabilities, ethical considerations are often glossed over. As these systems become more autonomous, questions arise about accountability, transparency, and potential biases in decision-making processes. For instance, how do we ensure that these autonomous agents act in alignment with human values and ethical standards? This is particularly important in highly regulated industries like healthcare, where the stakes are high[3].
2. Operational Scalability and Control
The scalability and control of agentic AI systems are critical but often underdiscussed. As these systems integrate into existing infrastructure, ensuring they can handle the volume of data and decision-making required without compromising performance is essential. Moreover, maintaining control over these autonomous systems is crucial to prevent unintended consequences. Companies like Lasso are addressing these challenges by developing platforms that secure agentic AI architectures from the outset[2].
3. Collaboration and Standardization
Lastly, there is a need for more collaboration and standardization across the industry. Agentic AI is not a standalone solution but part of a broader ecosystem. Developing standards for interoperability and collaboration can help ensure that different systems work seamlessly together, enhancing overall security and efficiency. This collaboration is particularly important for industries like finance, where data sharing and integration are critical[5].
Current Developments and Future Implications
The RSAC 2025 conference highlighted a significant shift from theoretical discussions to real-world deployments of agentic AI. Companies are no longer just talking about the potential of agentic AI; they are actively implementing it. For example, Dataminr showcased how agentic AI can enhance organizations' capabilities by providing real-time insights and actions[4]. However, as these systems become more prevalent, the focus must shift from just deploying them to ensuring they are integrated securely and ethically into our digital infrastructure.
Real-World Applications and Impact
Agentic AI is already making waves in various sectors. For instance, in cybersecurity, it is being used to automate threat detection and response, reducing the workload on human security teams[2][4]. In healthcare, it could potentially streamline clinical decision-making processes, though it must navigate complex regulatory environments[3].
Comparison of Agentic AI Offerings
| Company | Product/Feature | Description |
|---|---|---|
| Lasso | Next-Gen AI Agentic Application Security | Custom-built, semi-autonomous agents for securing enterprise environments[2] |
| Dataminr | Agentic AI Platform | Enhances organizations' capabilities with real-time data insights and actions[4] |
| Intezer | Agentic AI for SOC | Focuses on evaluating and applying agentic AI for meaningful security outcomes[5] |
Conclusion
As we move forward with agentic AI, it's crucial to address the missing points in the conversation. Ensuring ethical considerations, operational scalability, and collaboration will be key to unlocking the full potential of these autonomous systems. The future of cybersecurity and AI will depend on how effectively we integrate these technologies while mitigating their risks.
Excerpt: "Agentic AI dominated RSAC 2025, but crucial points like ethics, scalability, and collaboration were often overlooked."
Tags: artificial-intelligence, machine-learning, cybersecurity, agentic-ai, rsa-conference
Category: artificial-intelligence