# agentic AI security Published articles for agentic AI security. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Redefining Digital Resilience in the AI Era DevFeed: [Redefining Digital Resilience in the AI Era]() Original publisher: [Read original article]() Author: Kamal Hathi Published: 2026-09-10T17:00:15Z Content type: news Language: en Sources: [Cisco Blogs]() Topics: [Resilience](), [Artificial Intelligence](), [data](), [Architecture & Design](), [Security](), [SOC](), [monitor]() Tags: [agentic-ai-security](), [agentic-ops](), [agentic-security](), [ai](), [ai-agents](), [autonomous](), [cost](), [digital-resilience](), [executive-platform](), [governance](), [monitor](), [observability](), [resilience](), [scale](), [security](), [soc](), [speed](), [workflows]() ### AI overview Splunk is evolving its data platform for the AI era, focusing on digital resilience, trusted autonomous agents, machine-speed security operations, and economically governed AI workflows. ### Source excerpt Splunk is evolving for the AI era - removing constraints to help customers achieve digital resilience and leverage AI with speed, scale and trust. ## Capital One Announces Open-Source VulnHunter Agentic AI Code Security Tool DevFeed: [Capital One Announces Open-Source VulnHunter Agentic AI Code Security Tool]() Original publisher: [Read original article]() Author: Capital One Tech Published: 2026-07-17T17:01:41Z Content type: release Language: en Sources: [Capital One Tech]() Topics: [open-source-security](), [code security](), [Artificial Intelligence](), [Open Source](), [Vulnerabilities](), [Tooling](), [Developer experience]() Tags: [agentic-ai-security](), [ai-code-security](), [ai-security](), [build](), [claude-code](), [code-vulnerability](), [developer](), [developer-experience](), [developers](), [exploit](), [generative-ai-tools](), [open-source](), [vulnerabilities]() ### AI overview Capital One announces the open-source release of VulnHunter, an agentic AI security tool that analyzes source code from an attacker's perspective. It is designed to identify potentially exploitable defects, map prospective attack paths, and propose targeted code remediations. ### Source excerpt Capital One's open-source, agentic AI code security tool. The rules of software security are changing faster than most defenders can keep pace. Advanced AI models have dramatically lowered the barrier for bad actors to discover and exploit vulnerabilities in software. What once required significant skill and time can now be automated, accelerated, and scaled. The world faces an increasingly short window of time before highly sophisticated, next-generation AI attack capabilities become affordable and accessible to virtually every adversary. Across the industry, organizations are racing to prepare for this paradigm shift. Traditional environmental protections like network segmentation, identity controls, and monitoring remain essential, but are no longer sufficient on their own. The ultimate defense in this new reality requires a shift in approach: organizations need to consider and detect the vulnerabilities in their code and fix them before adversaries can deploy advanced models to discover and exploit them. At Capital One, we decided that the right response to AI-enabled threats wasn't to wait, but to build cutting-edge AI-driven defenses and put them in the hands of defenders everywhere. That's why we are announcing today the open-source release of VulnHunter, an advanced agentic AI security tool designed to apply proactive, attacker-perspective analysis directly to the source code. Developed internally at Capital One, VulnHunter is not a traditional, passive vulnerability scanner. It represents a shift in defensive tooling with an agentic reasoning workflow to identify potentially exploitable defects, map prospective attack paths, and propose highly targeted code remediations. Built for the developer experience To fully unlock the utility of VulnHunter, we knew ease of use mattered. A persistent challenge with traditional security tools is that they are often built primarily to enforce rigid cybersecurity practices, without much consideration for a developer's ac ## Meeting the AI Mandates with Confidence: Why Federal Teams Trust Snyk DevFeed: [Meeting the AI Mandates with Confidence: Why Federal Teams Trust Snyk]() Original publisher: [Read original article]() Author: Phoebe Nerdahl Published: 2025-08-07T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [snyk](), [ai security](), [AI Strategy](), [AI Development](), [Security](), [Vulnerabilities](), [AI Platform](), [GitHub](), [Terraform]() Tags: [agentic-ai-security](), [ai](), [ai-adoption](), [ai-infrastructure](), [ai-security](), [awareness](), [blog](), [compliance](), [devops](), [executive](), [github](), [government](), [nist](), [sboms](), [secure-by-design](), [security](), [self-hosted](), [snyk](), [snyk-platform](), [terraform](), [vulnerabilities]() ### AI overview This article explains how Snyk for Government helps federal agencies adopt AI securely through secure-by-design development, continuous vulnerability management, compliance support, automation, and governance. It highlights integrations across developer workflows, FedRAMP authorization, standards-aligned practices, and the Snyk AI Trust Platform. ### Source excerpt Learn how Snyk for Government helps federal agencies meet AI mandates with confidence. Snyk's AI Trust Platform ensures secure-by-design development, compliance, and transparent AI systems.