Averta blog: AI agent security guides, research, and compliance
AI Jailbreaking: How Attackers Bypass LLM Safety
AI jailbreaking bypasses the safety controls of an AI model or agent. How it works, the technique categories, why it matters more for agents, and how to defend.
DORA Compliance for AI Systems: Rules, Deadlines, Checklist
DORA applies to AI systems at EU financial entities by default. The five pillars, the 4-hour incident reporting rule, TLPT for AI, and a compliance checklist.
What is Generative AI Security? Risks and Controls
Generative AI security covers any system built on a generative model. The 12 NIST risk categories, the OWASP mapping, and the eight-layer defense.
MCP Security: Threats, Best Practices, and Hardening
MCP is the default integration layer for AI agents. The threat model, real incidents and CVEs, MCP security best practices, and how to deploy MCP safely.
Agentic AI Security: A 2026 Defender's Guide
Agentic AI security defends AI systems that act autonomously. The 2026 threat model, the 8-layer defense, a compliance crosswalk, and a 90-day plan.
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Top 10 AI Agent Security Tools and Agentic AI Security Solutions in 2026
The top 10 AI agent security tools and agentic AI security solutions in 2026. Ranked by runtime depth, MCP support, and ecosystem fit. Side-by-side comparison.
What is Prompt Injection? Examples and How to Prevent It
Prompt injection is the most cited AI security threat of 2026. Direct vs indirect attacks, the EchoLeak vulnerability (CVE-2025-32711), and how to defend.
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