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The OWASP GenAI Security Project’s Agentic Security Initiative (ASI) is leading the charge in securing agentic AI systems. With rapid advancements in autonomous agents, frameworks like MCP and A2A, and the rise of distributed agentic ecosystems, securing these systems has become crucial.
Key Highlights from OWASP Global AppSec EU 2025
🔹 Threats and Mitigations Taxonomy – Aligning with Microsoft’s work on agentic AI.
🔹 MAESTRO for Threat Modeling – A framework for assessing agentic application risks.
🔹 Open-Source Code Samples – A repository covering the entire threat taxonomy.
🔹 Securing Agentic Apps Guidelines – Best practices for defensible agentic systems.
🔹 Agentic Security Landscape Paper – Covering governance, compliance, and tooling.
🔹 Agent Name Service (ANS) – A DNS-like system for secure AI agent discovery.
You Should Know: Practical Security Measures for Agentic AI
1. Threat Modeling with MAESTRO
MAESTRO helps identify risks in agentic workflows. Example commands for threat assessment:
Install MAESTRO CLI pip install maestro-threat Run threat assessment on an AI agent config maestro analyze --config agent_config.yaml --output risks_report.json
2. Securing Autonomous Agents
Use Linux security modules to restrict agent permissions:
Apply AppArmor profile for an AI agent sudo aa-genprof /path/to/agent_binary sudo systemctl restart apparmor
3. Monitoring Agentic Systems
Deploy auditd for tracking agent interactions:
Monitor AI agent system calls sudo auditctl -a always,exit -F path=/usr/bin/ai_agent -F perm=x -k ai_agent_activity
4. Hardening Distributed AI Ecosystems
Use Kubernetes Network Policies to restrict agent communication:
apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: ai-agent-policy spec: podSelector: matchLabels: app: ai-agent policyTypes: - Ingress - Egress ingress: - from: - podSelector: matchLabels: role: trusted-controller
5. Agent Name Service (ANS) Implementation
Simulate ANS with a local DNS server for testing:
Set up a local DNS server for agent discovery
sudo apt install bind9
sudo nano /etc/bind/named.conf.local
Add zone for AI agents
zone "ai-agents.local" {
type master;
file "/etc/bind/db.ai-agents";
};
What Undercode Say
Agentic AI introduces novel attack surfaces, from prompt injection to autonomous agent hijacking. Security must evolve alongside AI advancements. Key takeaways:
– Adopt MAESTRO for structured threat modeling.
– Isolate AI agents using Linux security mechanisms (SELinux, AppArmor).
– Monitor interactions with auditd and SIEM tools.
– Enforce strict network policies in distributed AI deployments.
– Leverage ANS for secure agent discovery in decentralized ecosystems.
Prediction
By 2026, agentic AI frameworks will face at least one major supply chain attack, prompting stricter compliance mandates.
Expected Output
A hardened, monitored, and policy-restricted AI agent ecosystem with threat-modeled defenses.
Relevant URLs:
IT/Security Reporter URL:
Reported By: Jsotiropoulos Aisecurity – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
