# Security for AI Published articles for Security for AI. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Frontier AI just raised the stakes, and the old playbook won't hold up DevFeed: [Frontier AI just raised the stakes, and the old playbook won't hold up]() Original publisher: [Read original article]() Author: Jason Maynard Published: 2026-09-04T15:00:46Z Content type: opinion Language: en Sources: [Security @ Cisco Blogs]() Topics: [Vulnerabilities](), [Code](), [anthropic](), [Claude](), [Firefox]() Tags: [agentic-ai](), [ai](), [ai-cybersecurity](), [claude](), [frontier-ai](), [resilience](), [security](), [security-for-ai](), [vulnerability]() ### AI overview The article argues that frontier AI is making vulnerability discovery dramatically faster, shifting the security bottleneck to remediation. It advocates layered defenses, an assume-breach mindset, and faster detection and response. ### Source excerpt Frontier AI is accelerating vulnerability discovery. Learn why layered defenses, faster remediation, and cyber resilience matter more than ever. ## Crypto Agility: Why PQC Is Not a One-Time Upgrade DevFeed: [Crypto Agility: Why PQC Is Not a One-Time Upgrade]() Original publisher: [Read original article]() Author: Hugo Vliegen Published: 2026-09-03T15:00:56Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Cryptography](), [networking](), [Network design](), [Vulnerabilities]() Tags: [cisco-sd-wan](), [cryptographic](), [cryptography](), [infrastructure](), [network-security](), [networks](), [post-quantum](), [quantum-computing](), [sd-wan-security](), [security](), [security-for-ai]() ### AI overview The article explains why crypto agility is essential for long-lived network infrastructure adopting post-quantum cryptography. It argues that organizations should design systems to update cryptography continuously as standards, threats, and implementations evolve. ### Source excerpt Learn why crypto agility is essential for PQC-ready networks--and how adaptable infrastructure helps organizations keep pace with evolving threats. ## Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron DevFeed: [Building an Adaptive Agentic Cybersecurity System with NVIDIA Nemotron]() Original publisher: [Read original article]() Author: Michelle Horton Published: 2026-09-01T17:00:04Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [AI Bots]() Tags: [agentic](), [agentic-ai-generative-ai](), [ai](), [attacks](), [cybersecurity](), [evaluation](), [models](), [nemo](), [nemotron](), [nvidia](), [open](), [orchestration](), [security-for-ai](), [telemetry](), [testing](), [top-stories](), [traces](), [trustworthy-ai-cybersecurity]() ### AI overview The article describes an agentic cybersecurity system that uses red and blue agents to continuously test attacks, analyze telemetry, generate detections, and retest them in an isolated representative environment. It discusses NVIDIA Nemotron models used with CrowdStrike SafeMind for defensive orchestration and detection generation. ### Source excerpt AI is changing the pace of cybersecurity. Agentic systems can coordinate work and pursue complex objectives over long horizons. Security teams are beginning to... ## Six Agent Harness Capabilities for Higher Model Performance DevFeed: [Six Agent Harness Capabilities for Higher Model Performance]() Original publisher: [Read original article]() Author: Michelle Horton Published: 2026-07-27T09:00:00Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [AI Bots](), [Developer Tools](), [ai observability]() Tags: [agentic-ai-generative-ai](), [ai-agent](), [architecture](), [featured](), [framework](), [llms](), [open-source](), [openshell](), [orchestration](), [performance](), [python](), [security-for-ai](), [top-stories](), [trustworthy-ai-cybersecurity]() ### AI overview The article presents NVIDIA Labs Object-Oriented Agents (NOOA), a Python-based framework for building AI agents as single classes. It outlines six harness capabilities intended to improve model performance, including typed interfaces, live object references, code-based actions, programmable loops, explicit state, and model-callable APIs. ### Source excerpt Building a great AI agent isn't just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes... ## Identity Security for AI DevFeed: [Identity Security for AI]() Original publisher: [Read original article]() Author: info@goteleport.com (Ben Arent) Published: 2026-07-21T00:00:00Z Content type: article Language: en Sources: [Teleport]() Topics: [Security for AI](), [Security](), [Artificial Intelligence](), [Authorization]() Tags: [agents](), [ai](), [ai-agents](), [github](), [identity](), [least-privilege](), [llms](), [permissions](), [secrets](), [security](), [security-for-ai]() ### AI overview The article examines identity-security challenges created by AI agents that can act continuously with delegated access. It connects traditional risks such as broad permissions, credential sprawl, insider threats, and long-lived secrets with emerging risks from agents, sub-agents, and LLM capabilities, and advocates delegated, ephemeral, least-privilege access. ### Source excerpt AI agents run 24/7 with the same infrastructure access as your engineers. See how Teleport secures AI with cryptographic identity, audit, and trusted runtimes. ## Hardware-Rooted AI Security That Won't Slow You Down DevFeed: [Hardware-Rooted AI Security That Won't Slow You Down]() Original publisher: [Read original article]() Author: Elizabeth Goodman Published: 2026-07-02T21:25:42Z Content type: article Language: en Sources: [NVIDIA Developer](), [NVIDIA Technical Blog]() Topics: [Cryptography](), [Inference Performance]() Tags: [agentic-ai-generative-ai](), [ai](), [ai-agent](), [ai-inference](), [ai-security](), [benchmarks](), [blackwell](), [cloud-services](), [code-software-generation](), [data-center-cloud](), [dynamo-triton](), [encryption](), [featured](), [gpu](), [hardware](), [inference-performance](), [latency](), [nvlink](), [security](), [security-for-ai](), [software-defined-data-center](), [tensorrt](), [tensorrt-llm](), [trustworthy-ai-cybersecurity]() ### AI overview An overview of NVIDIA Confidential Computing for protecting AI inference workloads, including hardware-rooted attestation and encryption. It reports benchmark results of up to 98% of the inference performance of configurations without confidential-computing security. ### Source excerpt AI has transformed how organizations operate, driving unprecedented levels of productivity and innovation. However, AI adoption can be impeded by concerns... ## Secure by Design: The Future of Threat Modeling for AI-Native Applications DevFeed: [Secure by Design: The Future of Threat Modeling for AI-Native Applications]() Original publisher: [Read original article]() Author: John Carione Published: 2025-11-11T05:00:00Z Content type: opinion Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Security](), [Security for AI](), [Architecture & Design](), [Artificial Intelligence](), [snyk](), [Vulnerabilities](), [prompt injection]() Tags: [agentic](), [ai](), [prompt-injection](), [secure-by-design](), [security](), [security-for-ai](), [snyk]() ### AI overview This Snyk article argues that traditional, manual threat modeling cannot keep pace with AI-native applications built from large language models, autonomous agents, APIs, and changing data flows. It presents continuous, automated, AI-assisted threat modeling as a way to maintain secure-by-design systems and address risks such as prompt injection, data exfiltration, data poisoning, and agentic vulnerabilities. ### Source excerpt Explore how Snyk's Evo Threat Modeling Agent automates and contextualizes security for AI-native applications, addressing prompt injection, data exfiltration, data poisoning, and agentic vulnerabilities. ## Snyk and Cognition partner to enhance security for AI-native development DevFeed: [Snyk and Cognition partner to enhance security for AI-native development]() Original publisher: [Read original article]() Author: Sarah Conway Published: 2025-10-15T12:00:00Z Content type: release Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Vulnerabilities](), [dev-tools](), [AI Bots]() Tags: [ai](), [ai-agents](), [ai-coding](), [awareness](), [blog](), [co-created](), [code-security](), [executive](), [real-time](), [related-content](), [security](), [security-for-ai](), [snyk-platform](), [vulnerabilities]() ### AI overview Snyk announces integrations with Cognition's Devin and Windsurf that embed Snyk Studio security intelligence into AI-native development workflows. The integrations provide real-time scanning and enable agent-led remediation of identified security issues. ### Source excerpt Enhance AI-native development security with Snyk & Cognition. Discover Snyk for Devin & Windsurf, embedding real-time security intelligence for faster, safer coding. ## Infosec Europe session: 4 tips for safer AI adoption DevFeed: [Infosec Europe session: 4 tips for safer AI adoption]() Original publisher: [Read original article]() Author: Gerald Crescione Published: 2024-08-01T13:00:00Z Content type: article Language: en Sources: [Blog RSS Feed | Snyk]() Topics: [Artificial Intelligence](), [Security for AI](), [Application Security](), [Large Language Model](), [Testing](), [AI Development](), [Security]() Tags: [ai](), [ai-adoption](), [awareness](), [blog](), [customer](), [devops](), [executive](), [hallucinations](), [megawatt](), [security](), [security-for-ai](), [snyk](), [testing]() ### AI overview The article presents four takeaways for safer AI adoption, focusing on classifying AI use by business impact, prioritizing high-risk areas, using AI guardrails, testing AI-generated information and code, and involving humans in high-risk decisions. It warns that AI tools can produce insecure code suggestions, library hallucinations, and deceptive rationales. ### Source excerpt 4 takeaways about adopting AI securely from a session at Infosec Europe 2024.