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AI Agents

Oracle AI Agents with Top 14 Use Cases & 5 Benefits [2025]

Generative AI is transforming industries, with 72% of companies deploying AI solutions. Oracle leverages advanced generative AI agents combining large language models, natural language processing and retrieval-augmented generation (RAG) to execute complex , multi-step workflows, and integrate with existing business processes.  Explore what Oracle AI agents are, how they work, their use cases, and their benefits.

Jun 117 min read

SAP AI Agents in 2025: 20 Real-life use cases & features

SAP predicts that AI agents could support up to 80% of the most-used business tasks in SAP. These agents go beyond automating tasks by solving problems and offering innovative solutions, acting like an extra “brain” for enterprise operations.

Jun 117 min read

Agentic AI for Cybersecurity: Real life Use Cases & Examples

Agentic AI for cybersecurity functions as an autonomous decision-maker for SecOps and AppSec. It can take proactive actions, automate software development processes, or automate pentesting. For example, AppSec AI agents like Aptori can integrate into your IDE and CI/CD pipeline to run automated pentests to identify if your APIs are free from vulnerabilities.

Jun 129 min read

AI Agents: Operator vs Browser Use vs Project Mariner ['25]

We spent more than 40 hours testing the top 4 AI agents to see if they can help us in a business process with tool use: We also benchmarked the web search capabilities of AI agents.

Jun 108 min read

10+ Open-source AI Agents Based on GitHub Stars in 2025

These open-source AI agents enhance the autonomy of large language models (LLMs) by leveraging tool-use and decision-making capabilities. Some tools described as “AI agents” aren’t actually all that agentic; these systems (e.g.

Jun 134 min read

Large Action Models: Hype or Real? in 2025

Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring a user to click on apps or integrate an API.

Apr 24 min read
5 Steps from Chatbots to Secure Enterprise AI Agents in 2025

5 Steps from Chatbots to Secure Enterprise AI Agents in 2025

Though LLMs are great at text generation, their Enterprise AI agents are being built by leading SaaS vendors to address these issues. These bots need to be able to:[aim_list] [/aim_list] While these are table stakes, how they are implemented is important.

Jun 169 min read