Discover where you’re exposed, understand what’s at risk, and move confidently from findings to verified fixes.
AI is helping businesses pick up speed but security needs more than a rearview mirror. As applications and agents do more, gaps can expose data faster and threats can spread further. Oracle is putting AI to work looking ahead, finding weaknesses at a pace manual testing alone can’t match.
Oracle recently announced, Oracle AI Security Mesh, a managed platform that combines frontier AI models for cybersecurity, including OpenAI Cyber models, with Oracle’s proven security expertise. Through AI-powered discovery and testing, it uncovers hidden weaknesses, shows what’s at risk, and helps teams move from findings to verified fixes without building their own AI security testing operation.
AI cybersecurity that thinks ahead
Businesses are giving applications and AI agents more ways to access information, use tools, and complete tasks. Each connection helps them do more. It can also give a security weakness somewhere else to lead.
Consider an ordering application with a missing access check. A customer signs in to view an order but can also retrieve someone else’s. A routine business interaction has become a path to private information.
Security testing needs to ask these questions before the consequences become real: Can someone reach information they shouldn’t? What other systems could they access? Would a proposed fix actually stop them?
It takes smart, proactive investigation. AI-powered testing helps teams follow more of those leads and build on what each investigation reveals.
From hidden weaknesses to fixes you can trust
- Map your systems with less effort. Start with an application and the information you already have. Oracle maps your systems and their connections, then proposes a test plan for your approval.
- Find gaps and test what could happen. Specialized AI agents investigate weaknesses and test how someone could use them. In the ordering example, they check whether one customer can access another customer’s order.
- Confirm the risk. A separate agent repeats the test to confirm the problem is real, giving your team clear evidence of what’s at risk.
- Fix the problem and check the result. The platform recommends what to fix first. Coding agents can help prepare code fixes for your team’s approval. After changes are applied, the platform checks that the gap is closed, and normal activity still works.
- Testing that gets smarter with every discovery. What agents learn stays in your business’s private knowledge base, helping future tests connect more clues and uncover deeper security gaps.
Why Oracle?
Making an AI model effective for enterprise security testing takes substantial work: mapping systems, connecting tools, coordinating investigations, validating findings, and controlling how tests run.
Oracle has brought those capabilities together in a managed platform, using methods, tooling, and safeguards refined through testing its own systems at scale. Customers can put advanced AI to work on security without assembling and operating that testing infrastructure themselves—or developing specialized AI expertise.
Turn hidden exposure into confident action
As businesses use AI to expand what’s possible, they need security that investigates what could go wrong. Oracle AI Security Mesh helps teams know where they’re exposed, see what could happen, and verify that the gaps are closed.
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Ready to explore Oracle’s AI-powered security mesh to protect your businesses’ most critical systems and applications?
Contact us today.
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