Predictions 2025: Meaningful AI Will Be Embedded in Technology

What Are the 4 Phases of AI?

Did you know that artificial intelligence has phases? There are four development phases of AI creation that have been identified and widely accepted by the industry experts that are building and implementing it:

• Phase 1: The initial build-out phase during which companies invest heavily to gain a competitive edge.
• Phase 2: When AI becomes more integrated into industries and everyday applications.
• Phase 3: When AI analytics are used to unleash the power of data.
• Phase 4: When AI is integrated to help revolutionize products.

What AI Phase Are We in Today?

As you can probably tell from looking at these phases, we are well into Phase 1 with companies having spent a decade or so developing AI technology to improve their products and gain a competitive edge against their competitors.

Google Cloud has predicted that 2025 will be the first year where we’ll genuinely see the second phase of AI in action with security. What this means in practice is that AI will reduce the load on defenders performing repetitive tasks by integrating AI into processes and procedures, allowing investigations to run more efficiently. AI will also bring a change in capability to the access of information. Just in time access will be granted to information as and when it is needed – without remaining open for exploitation. Together, this all means that we will see meaningful AI beginning to be embedded in technology.

AI Will Continue to Lighten the Load On Defenders

As we move deeper into 2025, AI is going to continue to reduce the load placed on cybersecurity professionals by automating repetitive tasks like vulnerability scanning, threat detection, phishing email discovery, and even incident response. This allows security professionals to focus more on complex issues and desperately needed larger IT and security projects instead of wasting their time on tasks AI can handle instead. 

AI Will Change How Information Is Accessed

Also this year, AI is going to continue to change how information is accessed throughout organizations, especially when it comes to ensuring the security of information. AI will do so by making information access much more personalized, readily available, and accessible to a much wider audience through advanced search, intelligent filtering, and natural language processing.

This allows users to find information faster and more easily, even across extremely complex data sets, while also addressing accessibility issues. While there are concerns about data privacy and bias in the AI algorithms when it comes to who is granted access to what information within an organization, customized access to data based on permissions, roles, and the principle of least privilege will help improve security for organizations of all sizes.

Just-In-Time Access

Just-in-time access is a method for controlling access to information that is designed to grant access to systems and applications on a temporary basis – hopefully for just the right amount of time that a user needs to complete a task or assignment. Users request access to data for a specific tasks, that access is granted for a set amount of time or until certain conditions are met, and access is then automatically revoked when the task is completed.

This reduces the risk of users having more access than is needed, helps organizations comply with regulations, provides a very specific audit trail of activity, and follows the principle of least privilege which is being adopted by many organizations as part of their security measures.

Meaningful AI Will Be Embedded In 2025

In order to meet these needs of access control, compliance, and continued load balancing on overtasked security personnel, meaningful AI will be embedded into technology in the coming year.

Meaningful AI refers to the application of artificial intelligence that goes beyond simple automation and actively aims to improve human lives by addressing real-word challenges, enhancing decision-making capabilities, and creating positive impact. It also takes ethical considerations in its development and deployment and prioritizes human-centric design.

This all means that AI, when used meaningfully, makes actual strides for humans instead of just performing menial tasks efficiently.

Real World Examples

For example, Google Cloud sees companies incorporating generative AI to automate routine customer service tasks for subscriptions and billing, accelerate back-office processes and provide better access to enterprise-wide data, drive operational and cost efficiencies for marketing, and streamline software development workflows.

For cybersecurity, meaningful AI being embedded into technology is going to lead to significant improvements. Meaningful AI will enable faster threat detection, automate response mechanisms, provide predictive analytics, and analyze complex data patterns to identify anomalies. This will ultimately allow security teams to react to threats in real-time and proactively prevent attacks. It will also lead to better deepfake detection tools, and perhaps even deliver AI agents that provide even better autonomous threat detection and response than is capable today.

The Bottom Line

Meaningful AI being embedded in technology is just one of many predictions we will likely see in the coming year as cybersecurity professionals continue to  navigate the challenges of 2025.

A continuing increase is zero-day threats, balancing time-to-market against ensuring product and patch security, the importance of human risk management, the need to rely on strategic partnerships to close the skill gap, and the continued balance between regulation and innovation are all things organizations are going to need to spend time addressing as they move through 2025.

Other Predictions 2025 Blogs:

Balancing Time-to-Market Is Imperative

The Time from Discovery to Exploitation Will Continue to Decrease

Human Risk Management Will Be This Year's Hot Topic

Strategic Partnerships Benefit Customers

Maintaining Compliance in an Evolving Threat Landscape