Break your AI
before adversaries do.
ForgeGuard fires 600+ adversarial probes against your production LLMs. Findings land in your CI pipeline within minutes, not quarters.
Trusted by security teams at
The offensive + defensive loop,
in one control plane.
Most teams bolt on a red-team consultancy once a year and hope for the best. ForgeGuard runs the attacks continuously and wires the findings straight into the policy engine guarding production.
Continuous red-teaming
600+ adversarial probes — prompt injection, jailbreak, data exfil, tool abuse — fired on every deploy, not once a quarter.
Runtime guardrails
Deterministic and model-based policies evaluated in < 80 ms. Drop the SDK in front of your provider; no router rewrites.
Behavioral telemetry
Every request is diffed against a learned baseline. Anomalies surface in the command-center in near real-time.
MITRE ATLAS coverage
Probes mapped to ATLAS tactics — you see exactly which adversarial ML techniques your stack actually resists.
Agent-aware testing
First-class support for tool-calling agents: sandboxed exec, multi-hop chains, model-hopping — we test the full graph.
Policy as code
Guardrails live in your repo as versioned YAML. Your security team reviews them in the same PR your engineers ship.
Every attack your governance already lists. Mapped, probed, logged.
Coverage is framed against the MITRE ATLAS matrix so auditors and security teams share a vocabulary with engineering.
- AML.T0051Prompt injectionIndirect injection via retrieved tool outputBlocked
- AML.T0048Prompt injectionBase64 / rot13 / zalgo encoding payloadsBlocked
- AML.T0054JailbreakPersona escalation · DAN-style role swapBlocked
- AML.T0057Data exfilMarkdown-image callback exfiltrationBlocked
- AML.T0043Data exfilFunction-calling parameter smugglingMonitor
- AML.T0059Tool abuseShell escape via sandboxed code-interpreterBlocked
- AML.T0053Tool abuseCross-agent authority confusionMonitor
- AML.T0046Model theftLogits extraction via adversarial promptsBlocked
Guardrails you ship like any other artifact.
Declarative YAML, reviewed in the same pull request as the feature. Your security team doesn't click through a console — they approve a diff.
guardrails: - id: pii.block phase: output rules: - match: regex(/\b\d{3}-\d{2}-\d{4}\b/) # US SSN action: redact - match: classifier("pii.sensitive") > 0.8 action: block - id: jailbreak.intent phase: input rules: - match: classifier("jailbreak") > 0.72 action: deny audit: severity: high channel: sec-alerts - id: tool.allowlist phase: tool_call rules: - match: tool.name not in ${approved_tools} action: block error: "tool ${tool.name} is outside the production allowlist"Every policy change is a git commit. Audit log is free.
Reuse policy fragments across agents, tenants, environments.
Policy files are validated at CI time. Typos fail the build, not your production agent.
Policies run as a sidecar or WASM runtime — no traffic is ever in the clear.
Pricing
Red-team your AI. No LLC required.
Pay via LemonSqueezy · Withdraw via Payoneer or Wise · Works worldwide including Pakistan.
Hacker
Explore AI red-teaming with no commitment.
- 2 scans / month
- Llama-8B attack engine
- Full finding breakdown
- OWASP LLM coverage map
Startup
For teams shipping AI products that need real security.
- 20 scans / month
- DeepSeek-V3 attack engine
- Full Audit Report PDF
- OWASP LLM coverage map
- Remediation roadmap
- Email support
Enterprise
Unlimited power for security teams and regulated industries.
- Unlimited scans
- DeepSeek-R1 reasoning engine
- Full Audit Report PDF
- REST API access
- Priority Slack support
- Custom attack playbooks
- SLA guarantee
All plans include full OWASP LLM Top-10 coverage · Cancel anytime · No contracts
Next-24-hour onboarding
Your LLM is shipping tomorrow. Harden it tonight.
Connect an endpoint, run the red-team suite, turn on guardrails. Most teams hit green coverage in a single afternoon.