Time to Take Care of Your AI Agent: Will They Need the Same Digital Tools as Humans?
As progress on AI agent advances, we might see a variety of digital tools emerging for their usage.
Artificial intelligence has just begun its proper inception but already we’re seeing autonomous agents being used to change the world. An insight into their usage from 2024 shows that this market has been valued at $2,71 billion and is expected to almost double this year.
We’re witnessing the world shift their focus to using AI agents because they hold the means to automate different tasks which ends up reducing time and effort from our side. Organizations have already started to use them in tasks like data management and analysis where they ease processes and enable faster decision-making.
But a question has to be asked: are these agents truly autonomous in their work or do they require the same digital tools we have been relying on for decades to function? That’s what we aim to find out here.
Why Businesses Using AI Agents Will Benefit From Dedicated Proxies
One of the very first pitfalls businesses can expect to run into with AI agents is that they require unrestricted online access to websites and platforms. Since all ‘surfers’ on the internet are bound to an IP address, certain sites prevent multiple requests from a single source as they believe that to be bot behavior.
Fortunately, a bypass exists as businesses can turn to using dedicated proxy servers for their AI agents. Unlike shared or rotating proxies, dedicated ones offer exclusive IP addresses, ensuring greater security and consistency throughout AI-driven operations.
In this area, AI agents are useful for web automation, data collection, and managing multiple online accounts so they require a stable and undetectable online presence. Since many sites are now turning to flag bot-like behavior where they flag and block suspicious activity, the companies whose use cases fall under this category will eventually need to consider a dedicated proxy server for their operations.
AI Agents and Cybersecurity – Will They Need Digital Protection?
As AI agents become central to business operations, the need to turn attention to the digital threats they may face is essential. According to a statistic, 97% of organizations have suffered from threats to their generative AI over the last year.
To safeguard both themselves and their AI models, companies will need to formulate extensive activity mapping that shows the AI’s activities, processes, and data flows. This will provide a visible picture for detecting anomalies as uncertain behavior can be assessed at a glance.
AI agents might also need to be equipped with automation systems that detect suspicious activity by analyzing patterns like a system that flags login access from unauthorized sources. Additionally, real-time monitoring has always been crucial in cybersecurity and the same applies to AI agents.
Identity Verification – Will AI Agents Need Digital Credentials?
AI in business operations raises questions about the need for identity validation and credentials to perform tasks as we do. As these agents are oftentimes accessing sensitive data, there’s an increasing requirement to ensure a secure authentication process.
Traditional passwords like the ones we use are not suitable for AI agents as they have static natures and the chances of these credentials being breached are more likely so businesses will need to come up with an alternative. One way could be to use ephemeral credentials which are tokens that provide temporary access to a resource and expire after some time passes.
We also use MFA for our digital access but for autonomous AI, this might need to evolve to better suit them.
AI Agents and Performance Optimization – Will They Need Resource Allocation?
Since these agents are coded to perform tasks automatically, they do require adequate resources to help them function correctly. Effective resource allocation here means that the agents’ performance will be improved and also the organization behind it can get maximum investment.
AI agents already rely on computational power, data access, and more. To make this as efficient as possible, companies will need to turn to dynamic resource allocation which involves monitoring them in real-time and adjusting resources as required. Additionally, by using predictive analysis through ML algorithms, future business requirements can be anticipated and accounted for.
Final Thoughts
It seems in a way AI agents are similar to us when it comes to traversing the digital landscape. They will require certain digital tools to aid them in their tasks to ensure the agents will complete them without any hiccups.
These are just a few that come to mind. As progress on AI agent advances, we might see a variety of digital tools emerging for their usage.
