Spellguard and AGNTCY
When Spellguard launched, most of the agent security market was looking inward. Vendors were shipping policy engines, observability layers, and compliance tooling designed to govern agents inside a single organization. The Spellguard team focused on a different question: what happens when an agent's job takes it outside the organization?
Latest
Agent Tool Security
An agent that can read a file AND send an email has all the capabilities needed for data exfiltration — even if neither capability is dangerous alone. Here's how to secure every tool your agent touches.
Content Governance & Compliance
California's AI guardrail laws are now in effect. The EU AI Act high-risk provisions land in August 2026. Your agent's compliance posture isn't about what it was trained to do — it's about what it's enforced to do at runtime. Here's how to build content governance that survives an audit.
Network & URL Safety
36% of MCP servers are vulnerable to SSRF. SSRF attacks surged 452% in a single year. Your AI agent has network access — here's how to stop it from becoming a proxy for attackers targeting your internal infrastructure.
Privilege Escalation & Access Control
Your AI agent has database access, API credentials, and tool permissions. An attacker doesn't need to steal those credentials — they just need to convince the agent to use them. Here's how to enforce access control at the policy layer when traditional IAM falls short.
Toxic & Harmful Content Filtering
our AI agent can generate hate speech, explicit content, and harmful instructions — even if the underlying model has safety training. Here's why model-level alignment isn't enough and how to enforce content safety at the policy layer.
PII, PHI & Secrets Leakage
Your AI agent doesn't know the difference between a helpful answer and a compliance violation. Social Security numbers, medical record numbers, API keys — if it's in the context, it's in the response. Here's how to stop it.
Prompt Injection Detection
Prompt injection is the #1 vulnerability in autonomous AI systems — and the hardest to catch. Here's what security leaders need to know about building layered defenses that actually work.
Agent Reliability & Operational
The AI agent security conversation focuses on adversarial threats — prompt injection, data exfiltration, privilege escalation. But for most organizations operating agents in production, the day-to-day risk isn't an attacker. It's an agent that silently enters an infinite loop, burns through your API budget at 3 AM, or sends malformed data to a downstream system that expected valid JSON.
Secure, auditable
agent-to-agent communication.
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