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March 03.2025
3 Minutes Read

Unlocking the Future with Agentic AI: Your 4-Step Guide

Futuristic agentic AI digital hands connecting with blue network mesh.

Understanding the Rise of Agentic AI Apps

As we find ourselves in the midst of a transformative era where AI technology is rapidly evolving, the journey from basic applications to advanced agentic AI apps unfolds in a remarkably structured four-step model. This model not only elucidates the complexities of AI integration into everyday software but also empowers developers and AI enthusiasts alike to envision a future where machines do more than just respond—they act autonomously.

The Four Stages of AI Evolution

The path from traditional applications to agentic AI involves distinct phases:

  1. Pre-AI Applications: This is where most enterprises currently find themselves. Pre-AI applications operate on a simple three-tiered architecture, enabling basic functionalities such as user interfaces or database management but lacking the intelligence to learn from data or adapt.
  2. Adding Machine Learning (ML): Here, developers begin incorporating predictive analytics. For instance, an application might forecast customer behavior based on historical data. However, this requires specialized knowledge, often resulting in lengthy implementation periods and costly resource allocation.
  3. Implementing Generative AI: This innovative approach allows companies to utilize AI models that can generate content, automate processes, and interact with users in a more human-like manner. Generative AI lowers existing barriers of complexity and expertise needed to integrate intelligence into applications.
  4. Creating Agentic AI: Finally, we reach the pinnacle of this model with agentic AI. These applications demonstrate true autonomy—capable of processing, analyzing, and acting upon vast datasets without direct human input. Imagine querying an app to make a restaurant reservation, and it autonomously handling the entire process, from checking preferences to making the booking.

Why Agentic AI Matters Today

The advent of agentic AI signifies a shift in how businesses can operate. By enabling machines to handle complex tasks autonomously, organizations can reduce human workload and enhance efficiency. This model not only fuels productivity across various sectors, including customer service, software development, and healthcare, but also transforms how companies interact with technology and their clientele.

The Future of AI Application Development

As businesses strive to adopt AI solutions, understanding and navigating this four-step framework is crucial. Organizations must ensure that they don’t just dive headfirst into the latest technology without adequate planning and skill development, as doing so can lead to pitfalls such as non-compliance and ineffective implementation. By following the model, businesses can develop sustainable AI applications that achieve desired outcomes and truly augment human capabilities in the workplace.

Creating a Bridge to Agentic AI

The landscape for AI development is ripe with opportunity, especially as familiarity with generative and agentic AI grows. Organizations are encouraged to take action now—leveraging existing tools and skill sets to create smarter applications without the need for complete overhauls. This strategic approach reduces the risk and enhances the potential for successful integration of AI technologies into enterprise solutions.

As we continue to explore the capabilities of agentic AI, the results could redefine how software development aligns with business strategies—leading to a more intelligent, efficient, and capable future.

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09.17.2025

How CrowdStrike and Salesforce Are Securing AI Agents and Applications

Update Spotlight on AI Security: CrowdStrike and Salesforce's Collaboration As the integration of artificial intelligence (AI) continues to expand across industries, so does the immediate need for robust security measures. CrowdStrike, a leading cybersecurity firm, has recently joined forces with Salesforce, a giant in customer relationship management, to enhance the security landscape for AI agents and applications. This innovative collaboration aims to ensure that businesses leveraging AI-powered technologies can operate safely and securely, safeguarding sensitive information while enjoying the benefits of modern technology. Understanding the Innovations: Falcon Shield and Security Center The partnership focuses on the integration of CrowdStrike's Falcon Shield with Salesforce Security Center. This collaboration will allow organizations to benefit from greater visibility and automated threat response capabilities specifically designed for software-as-a-service applications. By combining these two powerful tools, the partnership promises a more comprehensive approach to security, allowing Salesforce administrators and security professionals to monitor workflows closely while ensuring compliance with industry regulations. AI's Growing Target: The Rising Threat Landscape With AI agents becoming increasingly prevalent in various sectors, cybersecurity threats targeting these technologies are surging as well. Daniel Bernard, CrowdStrike's Chief Business Officer, has identified a trend: adversaries are now conducting identity-based attacks on AI applications. This type of attack could compromise not only data integrity but also the very functioning of AI systems. The partnership aims to combat these threats by offering solutions that protect critical workflows, thus enabling businesses to transition into agentic AI with confidence. Charlotte AI: A Game-Changer in Threat Response One of the most exciting features of this collaboration is the introduction of Charlotte AI, CrowdStrike’s agentic security analyst. Integrated into Salesforce's Agentforce, Charlotte AI will operate in a conversational manner, providing real-time support within platforms like Slack. This human-like interface not only flags potential threats but also offers actionable recommendations, significantly enhancing the security outcome for businesses that increasingly rely on AI. The Wider Ecosystem: Partnering with AI Leaders In addition to Salesforce, CrowdStrike has formed integrations with other significant players in the AI sector, including Amazon Web Services (AWS), Intel, Meta, and Nvidia. Such strategic partnerships are part of a broader effort to create unified protection across the entire AI ecosystem. By embedding security measures within the frameworks developed by these industry leaders, CrowdStrike aims to foster an environment where enterprises can adopt AI technologies confidently, innovate freely, and mitigate risks effectively. Future Predictions: A Secure Framework for Agentic AI The promise of secure AI extends beyond immediate solutions; it hints at a future where organizations can fully leverage AI’s analytical capabilities without fear of breaches or attacks. By focusing on securing the environment in which AI operates, CrowdStrike and Salesforce may pave the way for a new era of technological infrastructure—one that prioritizes safety as a fundamental component of innovation. Conclusion: The Importance of Securing AI As AI continues to evolve, the collaboration between CrowdStrike and Salesforce underscores the critical need for robust security solutions tailored for this dynamic landscape. Their innovative integrations not only address existing vulnerabilities but also actively prepare organizations for future challenges within the realm of AI. Ensuring the safety and integrity of AI systems is not merely a technical necessity; it's a fundamental requirement for fostering trust and enabling sustainable growth in the AI space.

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