llm-security
Safeguard articles tagged "llm-security" — guides, analysis, and best practices for software supply chain and application security.
120 articles
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.
What Platforms Are Using Cybersecurity AI in 2026?
A grounded look at what platforms are using cybersecurity AI today — across SOC tooling, code scanning, and supply-chain security — and how to tell real capability from marketing.
Prompt Injection Techniques and the Defenses That Actually Work
Prompt injection techniques range from direct override attempts to indirect payloads hidden in retrieved documents; here's what actually stops them.
AI Security Providers: How to Choose the Right One in 2026
AI security providers fall into a few distinct categories, and picking the right one starts with knowing which risk you are actually trying to cover. This guide breaks down the landscape.
AI Information Security: How to Protect Data in AI Systems
AI information security is the practice of protecting the data that flows through AI systems, training sets, prompts, outputs, and the models themselves, from disclosure, poisoning, and misuse. Here is a working model of the risks and controls.
LLM Jailbreak Defense Architectures in 2026
Jailbreaks against frontier models keep getting more sophisticated. The defense architectures that have proven durable, and the ones that get bypassed in weeks.
Jailbreak Meaning: What It Is in AI and Devices
Jailbreak has two meanings today: removing restrictions on a device, and tricking an AI model into ignoring its safety rules. This guide covers both.
Protecting GenAI: OWASP Top 10 for LLMs
OWASP's Top 10 for LLM Applications reframes AI risk around prompt injection, data poisoning, and supply chain gaps that container-only tools like Aqua can't reach.
Pervasive AI Security: Protecting AI That Is Everywhere in Your Stack
Pervasive AI means models embedded in nearly every application and workflow. That ubiquity creates a security surface most programs have not mapped. Here is how to think about it.
OWASP Top 10 for LLM Applications, Explained
A practitioner's walkthrough of the OWASP Top 10 for LLM Applications: what each risk looks like in a real system, which ones bite first, and the mitigations that hold up.
How to Secure AI Agents on the MCP Protocol
MCP gives AI agents real tools, real credentials, and real blast radius. Here is a hardening guide for running MCP servers in production without torching your environment.
The OWASP AI Top 10 Explained: LLM Risks for 2025 and Beyond
The OWASP AI Top 10 is the community list of the most critical security risks in LLM applications, led by prompt injection. Here is what each entry means and how to defend against it.
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