Lakera Guard + Agent Action Firewall
Complete AI agent security requires protecting both the input and the output. Learn how Lakera and Agent Action Firewall work together to secure your agentic AI systems.
Why Input Security Isn't Enough
Prompt injection defense protects your AI from malicious users. But what happens after the AI decides to act? When your agent connects to Jira, Slack, databases, or APIs—who's watching what it actually does?
The AI Agent Security Gap
Feature Comparison
Different problems require different solutions. Here's how the two platforms compare:
| Capability | Lakera Guard | Agent Action Firewall |
|---|---|---|
| Prompt injection defense | Core feature | — |
| Jailbreak prevention | Core feature | — |
| Content moderation | Core feature | — |
| Multi-language support (100+) | Core feature | — |
| Action-Level Security | ||
| Policy-based action control (OPA/Rego) | — | Core feature |
| Human approval workflows | — | Core feature |
| Cryptographic audit trails | — | Core feature |
| Proof Packs (compliance bundles) | — | Core feature |
| Usage limits & quotas | — | Core feature |
| Visual workflow editor | — | Core feature |
| Both Platforms | ||
| PII/Data leak detection | In prompts | In actions |
| API-first integration | Yes | Yes |
| Model-agnostic | Yes | Yes |
When You Need Both
If your AI agents take real-world actions, you need security at both ends of the pipeline.
Customer Support Agents
Lakera: Block prompt injections in customer messages
AAF: Require approval before issuing refunds over $500
Document Processing Agents
Lakera: Detect poisoned content in uploaded documents
AAF: Audit trail of all database writes with hash verification
DevOps Automation Agents
Lakera: Prevent jailbreaks that could expose infrastructure
AAF: Block production deployments, require human approval for destructive ops
Enterprise Workflow Agents
Lakera: Multi-language content safety for global teams
AAF: Policy enforcement on Jira, ServiceNow, Slack actions
The Right Question to Ask
Lakera Guard asks:
“Is this prompt safe?”
- • Is someone trying to manipulate the AI?
- • Does this contain harmful content?
- • Is there hidden instruction injection?
Agent Action Firewall asks:
“Should this action execute?”
- • Does this violate our security policies?
- • Does a human need to approve this?
- • Is there a complete audit trail?
Different Technical Approaches
Lakera: AI-Powered Detection
Uses machine learning trained on millions of attack patterns to probabilistically detect malicious prompts. Learns continuously from their Gandalf platform with 80M+ prompts.
AAF: Deterministic Policy Engine
Uses OPA (Open Policy Agent) with Rego policies for binary allow/deny decisions. No probabilistic filtering—100% certainty on every action decision.
Pricing Transparency
Lakera Guard
Free tier available. Enterprise pricing requires sales contact. Part of Check Point portfolio.
Agent Action Firewall
Public pricing. Self-serve signup. No sales calls required.
Complete Your Agent Security Stack
Already using Lakera? Add Agent Action Firewall to protect the other half of your AI pipeline.
No credit card required. 500 actions/month free forever.