# Agentic Security Published articles for Agentic 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. ## Agents of Chaos: A New $100K Agentic Security Challenge DevFeed: [Agents of Chaos: A New $100K Agentic Security Challenge]() Original publisher: [Read original article]() Author: Vanessa Villa - John Gamble Published: 2026-09-12T11:17:51.295154Z Content type: article Language: en Sources: [Blog]() Topics: [Security](), [prompt injection](), [AI Agent]() Tags: [agentic](), [agentic-security](), [ai](), [ai-agent](), [ai-agents](), [attacks](), [competition](), [prompt-injection](), [securing-ai](), [security](), [techniques]() ### AI overview CrowdStrike is launching Agents of Chaos, an online game and AI red-teaming competition with a $100,000 prize pool. Players interact with real AI agents in an adversarial world, attempting to manipulate them and exploit gaps between their intended behavior and their actual behavior across three increasingly sophisticated acts. ### Source excerpt Agents of Chaos, CrowdStrike's new AI red teaming competition, tests players' defensive skills against adversarial AI techniques. ## 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. ## RSA 2026: Leading the way to secure agentic AI DevFeed: [RSA 2026: Leading the way to secure agentic AI]() Original publisher: [Read original article]() Author: info@1password.com (Elaine Atwell) Published: 2026-03-27T00:00:00Z Content type: article Language: en Sources: [Blog on 1Password Blog]() Topics: [Artificial Intelligence](), [Security](), [Unified Access](), [releases](), [incident]() Tags: [2026](), [agentic-ai](), [agentic-security](), [agents](), [ai](), [conference](), [incident](), [life-at-1password](), [releases](), [security](), [unified-access]() ### AI overview 1Password's RSA 2026 recap focuses on securing agentic AI as organizations adopt AI agents faster than governance can keep up. It highlights 1Password Unified Access, a platform for discovering, securing, and auditing access across humans, agents, and machine identities, along with conference discussions about AI safety, security safeguards, breaches, and incident response. ### Source excerpt Every year, security and tech leaders come to the RSA conference in San Francisco to take the industry's pulse, and every RSAC tends to be dominated by a single, overarching theme. Last year, the theme was: "AI agents are coming, and governance isn't ready." And sure enough, the theme of RSAC 2026 was: "AI agents are here, and governance needs to catch up." Throughout the conference, security practitioners, vendors, and analysts were all asking the same questions: How can we enable a culture of agentic AI builders, without compromising on bedrock security principles? How can we mitigate the potential for AI agents to behave unsafely, either via malicious compromise or their own nondeterministic nature? What are the most impactful safeguards every organization should be putting into place to secure AI and automation in the next year? 1Password provided answers to those urgent questions at RSA. Prior to the event, we announced the release of 1Password® Unified Access, a new platform that helps teams discover, secure, and audit access across humans, agents, and machine identities, so organizations can adopt AI confidently and securely. At RSA, 1Password leaders spoke on panels, met with customers, discussed what's next in agentic security with industry analysts and press, and demoed our products for booth visitors. Here's a look at the highlights. Day 1 of RSA: Booth conversations and customer appreciation The 1Password booth was buzzing with RSAC attendees eager to learn about how our latest product releases could address their security needs. They experimented with interactive demos of our products, which you can check out for yourself: 1Password Unified Access 1Password Enterprise Password Manager 1Password SaaS Manager Monday night, 1Password leaders hosted a customer appreciation happy hour, where everyone enjoyed the chance to unwind, swap stories, and discuss the shared future for 1Password and our customers. Day 2 of RSA: Security lessons from before and after ## Old AI Security vs Evo: Watch Agentic Security Replace Weeks of Manual Work DevFeed: [Old AI Security vs Evo: Watch Agentic Security Replace Weeks of Manual Work]() Original publisher: [Read original article]() Author: Manoj Nair Published: 2025-12-16T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Artificial Intelligence](), [Securing AI](), [Security](), [Application Security](), [Orchestration](), [prompt injection](), [Large Language Model](), [Retrieval Augmented Generation (RAG)](), [Machine Learning, Security Attacks]() Tags: [agentic-security](), [ai](), [ai-security](), [awareness](), [blog](), [developer](), [orchestration](), [prompt-injection](), [rag](), [security](), [snyk](), [snyk-platform](), [vulnerabilities]() ### AI overview The article argues that traditional application-security processes cannot keep pace with AI-native applications, including copilots, RAG systems, autonomous agents, and AI-powered workflows. It presents Evo by Snyk as an agentic, orchestrated approach intended to address risks such as prompt injection, data poisoning, model inversion, hallucinations, and supply-chain vulnerabilities. ### Source excerpt The rise of GenAI brings complex, non-deterministic security risks that traditional methods can't handle. Discover Evo by Snyk, the world's first agentic security orchestration system for AI-native defense. ## OWASP Top 10 for Agentic Applications 2026: Key Takeaways & How to Take Action DevFeed: [OWASP Top 10 for Agentic Applications 2026: Key Takeaways & How to Take Action]() Original publisher: [Read original article]() Author: jpitts@goteleport.com (Jack Pitts) Published: 2025-12-15T00:00:00Z Content type: tutorial Language: en Sources: [Teleport]() Topics: [Security](), [Securing AI](), [ai security](), [Application Security](), [Artificial Intelligence]() Tags: [2026](), [agentic-ai](), [agentic-security](), [agents](), [ai](), [apis](), [application-security](), [cloud](), [databases](), [multi-agent](), [security]() ### AI overview This article explains the OWASP Top 10 for Agentic Applications 2026, summarizing AI security risks in autonomous, tool-using, and multi-agent systems and outlining mitigation steps. It introduces Agent Goal Hijack, in which malicious content can manipulate an agent's objectives or task selection. ### Source excerpt Learn how OWASP Top 10 for Agentic Applications 2026 defines the biggest AI security risks, with clear explanations and actionable steps to protect your systems. ## Scaling AI Security: How Evo Complements New Agentic Tools DevFeed: [Scaling AI Security: How Evo Complements New Agentic Tools]() Original publisher: [Read original article]() Author: John Carione Published: 2025-11-24T05:00:00Z Content type: opinion Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Application Security](), [Securing AI](), [Artificial Intelligence](), [Large Language Model](), [Pull Request](), [Testing]() Tags: [agentic](), [agentic-security](), [ai](), [ai-security](), [application-security](), [blog](), [developer](), [false-positives](), [governance](), [interest](), [llm](), [open-source-security](), [openai](), [policy](), [pull-request](), [real-time](), [security]() ### AI overview The article examines OpenAI's Aardvark as an agentic application security tool and evaluates the practical challenges of using it in enterprise development pipelines. It highlights concerns about false positives, inconsistent LLM-based findings, workflow integration, performance, coverage, and limited scope, while presenting Snyk's policy, governance, and real-time intelligence as complementary capabilities. ### Source excerpt OpenAI's Aardvark signals the rise of agentic AppSec, and Snyk shows how policy, governance, and real-time intelligence keep enterprises secure. ## The Agentic OODA Loop: How AI and Humans Learn to Defend Together DevFeed: [The Agentic OODA Loop: How AI and Humans Learn to Defend Together]() Original publisher: [Read original article]() Author: Manoj Nair Published: 2025-11-10T05:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Securing AI](), [ai security](), [Security](), [Artificial Intelligence]() Tags: [adaptive](), [agentic](), [agentic-security](), [agents](), [ai](), [autonomous](), [autonomous-agents](), [awareness](), [blog](), [collaboration](), [context](), [cycles](), [executive](), [false-positive](), [loops](), [model](), [pmm](), [policy](), [real-time](), [reasoning](), [security](), [systems](), [visibility]() ### AI overview This article presents the Agentic OODA Loop as a model for human and AI security engineers to defend AI-native systems. Inspired by the fighter-pilot cycle of Observe, Orient, Decide, and Act, it advocates adaptive defense that gains real-time visibility, reasons about context, automates policy enforcement and remediation with human oversight, and continuously learns from alerts, false positives, and exploit attempts. ### Source excerpt Discover how AI and human security engineers collaborate to defend against evolving threats at machine speed. Learn about the new mindset for adaptive, intelligent, and symbiotic defense in the age of Agentic AI. ## Snyk Studio brings security scanning and automated fixes to Factory's Droids DevFeed: [Snyk Studio brings security scanning and automated fixes to Factory's Droids]() Original publisher: [Read original article]() Author: Sarah Conway Published: 2025-11-05T05:00:00Z Content type: news Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [snyk](), [Security](), [AI Development](), [Vulnerabilities](), [Model Context Protocol]() Tags: [2025](), [agentic](), [agentic-security](), [ai](), [awareness](), [blog](), [code-security](), [developer](), [model-context-protocol](), [partnership](), [related-content](), [security](), [snyk](), [vulnerabilities]() ### AI overview Snyk announces a partnership with Factory to bring Snyk Studio's real-time security intelligence into Factory Droid workflows through the Model Context Protocol. The integration is designed to help Droids identify and remediate vulnerabilities in newly generated code and reduce existing security debt using prioritized vulnerability data. ### Source excerpt Snyk is thrilled to announce our partnership with Factory, which brings Snyk Studio directly into Droid workflows. ## Introducing Aardvark: OpenAI's agentic security researcher DevFeed: [Introducing Aardvark: OpenAI's agentic security researcher]() Original publisher: [Read original article]() Published: 2025-10-30T11:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [Vulnerabilities](), [Security](), [OpenAI](), [Software](), [Monitoring]() Tags: [agent](), [agentic-security](), [ai](), [autonomous](), [llm](), [monitoring](), [openai](), [security](), [testing](), [vulnerabilities]() ### AI overview OpenAI introduces Aardvark, an autonomous security researcher powered by GPT-5. It continuously analyzes code repositories and commits to identify vulnerabilities, assess exploitability, prioritize severity, explain findings, and propose targeted patches. Aardvark uses LLM-powered reasoning and tool use rather than traditional fuzzing or software composition analysis, and validates potential vulnerabilities in an isolated sandbox. The article says Aardvark is available in private beta, with an update stating that it is now Codex Security and available as a research preview. ### Source excerpt OpenAI introduces Aardvark, an AI-powered security researcher that autonomously finds, validates, and helps fix software vulnerabilities at scale. The system is in private beta--sign up to join early testing. ## Why We Built Evo -- From My Heart DevFeed: [Why We Built Evo -- From My Heart]() Original publisher: [Read original article]() Author: Manoj Nair Published: 2025-10-22T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Securing AI](), [ai security](), [Application Security](), [Cybersecurity](), [snyk](), [Artificial Intelligence](), [Architecture & Design]() Tags: [acquisition](), [agentic-ai](), [agentic-security](), [ai](), [ai-security](), [awareness](), [blog](), [cybersecurity](), [developer](), [llm](), [mcp](), [security](), [snyk](), [snyk-platform]() ### AI overview Snyk introduces Evo as an agentic security orchestrator for AI-native software systems. The article argues that AI security must be an autonomous, operational, continuous architecture integrated into development rather than a passive collection of scanners, policies, or dashboards. ### Source excerpt Introducing Evo by Snyk, the world's first Agentic Security Orchestrator. Learn why Evo is changing the game in cybersecurity to make security seamless, invisible, intelligent, and unstoppable--so innovation never has to slow down again. ## Secure at Inception: Introducing New Tools for Securing AI-Native Development DevFeed: [Secure at Inception: Introducing New Tools for Securing AI-Native Development]() Original publisher: [Read original article]() Author: Daniel Berman; Liran Tal Published: 2025-08-04T04:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Securing AI](), [Model Context Protocol](), [Artificial Intelligence](), [Vulnerabilities](), [snyk]() Tags: [agentic-security](), [agents](), [ai](), [ai-security](), [application-security](), [awareness](), [blog](), [ci-cd](), [compliance](), [customer](), [developer](), [devrel](), [devsecops](), [mcp](), [mcp-server](), [open-source-security](), [pmm](), [securing-ai](), [security](), [security-vulnerabilities](), [snyk]() ### AI overview Snyk introduces three capabilities at Black Hat 2025 for securing AI-native development: security testing embedded in agentic workflows and tools, AI-BOM visibility and governance, and MCP-scanning capabilities. The article describes emerging risks including prompt injection, model poisoning, and MCP rug pulls. ### Source excerpt Snyk unveils innovations at Black Hat to secure AI development. Features include MCP Server for agentic workflows, AI-BOM for visibility, and Toxic Flow Analysis for novel AI threats.