agentic-ai
Safeguard articles tagged "agentic-ai" — guides, analysis, and best practices for software supply chain and application security.
45 articles
Agentic AI Security: Gartner Says Most AI-Agent Attacks Will Be Access-Control Failures
Gartner predicts that through 2029, more than half of successful attacks against AI agents will exploit access-control issues — with prompt injection as the delivery mechanism. Here's why that framing matters more than the headline number.
Safeguard Now Supports Every Major AI Model Family for Zero-Day Discovery: Anthropic, OpenAI, Gemini, Microsoft, Meta, and Your Own Models
You should not have to choose between your organization's AI strategy and your security platform. Safeguard's agentic zero-day discovery and remediation pipeline now works on Anthropic Claude Fable 5, OpenAI GPT, Google Gemini, Microsoft Phi, Meta Llama, Safeguard native models, and privately hosted custom models — all running as first-class agents in the same Multi-Agent TAOR Deep Think AI Engine.
Anthropic Claude Mythos Releases Tomorrow: Capabilities, Benchmarks, and What Security Teams Must Do Now
Anthropic's Claude Mythos model goes public on June 10, 2026 — a frontier AI that scored 97.6% on the Math Olympiad, completed expert-level hacking tasks at 73% success, and found 271 vulnerabilities in Firefox 150. Here is everything security teams need to know before it lands, and how Safeguard already supports Mythos zero-day discovery natively.
Claude Fable 5: Anthropic's Most Capable Public Model Is Here — Benchmarks, Capabilities, and What It Means for Security
Anthropic just released Claude Fable 5, its most capable publicly available model and the first Mythos-class AI open to everyone. 80.3% on SWE-Bench Pro, 88% on Terminal-Bench 2.1, state-of-the-art across software engineering, vision, and scientific research. Safeguard has already integrated Fable 5 natively — here is everything you need to know.
Infosecurity Europe 2026 Recap: Agentic AI Security Owned the Floor at ExCeL London
Agentic AI, post-quantum cryptography, and ransomware economics dominated Infosecurity Europe 2026. Here is what actually mattered on the floor at ExCeL London, and what was hype.
AI-Powered SOC, Dull Analysts: Fighting Skill Erosion Before 2030
Gartner warns that by 2030 most SOC teams could lose foundational analysis skills to automation overdependence. Here is what skill erosion actually looks like, and the practices that keep human judgment sharp inside an AI-powered SOC.
Shadow AI: Finding and Governing the Tools Your Employees Already Use
Most of your organization is already using AI you never approved. Here is how to discover it, govern it, and offer sanctioned alternatives before it becomes a breach.
Agentic AI Security: Access Control Is the Whole Ballgame
Gartner expects most successful attacks on AI agents through 2029 to exploit access control, with prompt injection as the delivery mechanism. Here is why that single failure mode dominates agentic AI security, and what actually moves the needle.
Claude Opus 4.8 for Security Teams: Capabilities, AppSec Use, and Governance (May 2026)
Anthropic shipped Claude Opus 4.8 on May 28, 2026, with sharper agentic coding and better honesty about its own work. Here is what it changes for vulnerability triage, fix-PRs, and the governance you need before it touches your pipeline.
Distinguishing Model Risk from Application Risk in Agenti...
Model flaws and application flaws in AI agents cause different breaches and need different fixes. Real incidents show where each risk actually lives — and how to test for both.
Why Traditional SAST Tools Struggle to Analyze Agentic Co...
Agentic codebases build call graphs at runtime, defeating static analysis. Here's why SAST tools miss prompt injection and tool-schema risks—and how Safeguard closes the gap.
Define Agentic: What 'Agentic' Really Means for Security
To define agentic: it describes AI systems that plan and take actions toward a goal with limited human oversight. Here is what that autonomy means for security teams.
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