Sold by: HiltLock
Continuously discover, verify, and exploit real vulnerabilities across your model, APIs, tools, and agent workflows and not just the model. Evidence-backed findings with severity scoring, regression re-testing, and mappings to OWASP, MITRE ATLAS, and EU AI Act/GDPR/NIST AI RMF.
Overview
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Config Settings
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AI Redteaming Report
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Insights Dashboard
HiltLock's AI Redteaming Platform is a continuous AI security validation solution that automatically discovers, verifies, and exploits real vulnerabilities across chatbots, internal copilots, and agentic systems. It tests every layer an attacker can reach, not just the model.
The platform attacks four layers:
- the model & prompt layer (jailbreaks, system-prompt extraction, indirect injection)
- the API authorization layer (cross-tenant access testing that names the exact record reached)
- the tool & MCP layer (function-calling and Model Context Protocol abuse)
- the agentic workflow layer (privilege escalation, approval bypass, race conditions) across 14 attack families, each mapped to OWASP LLM/API/Agentic Top 10 and MITRE ATLAS.
The engine runs a four-phase process: Recon maps system capabilities and guardrails; Exploit runs multi-turn, multi-modal attack chains across selected threat families; Verify re-runs successful attacks to confirm reproducibility; Judge scores each finding for severity with evidence checked against the actual transcript, eliminating hallucinated findings.
Every finding is delivered as an executive-ready report with clear PASS/FAIL outcomes, reproducible exploit evidence, and mappings to OWASP, MITRE ATLAS, and the regulations governing your AI - EU AI Act, GDPR, India's DPDPA, NIST AI RMF, and ISO/IEC 42001. Ship a fix and re-run the engagement: every finding returns a fixed / still-failing / regressed verdict, so you can prove the gap is actually closed. Safety is built in, not bolted on - runs are restricted to authorized targets only, testing is non-destructive by design (no destructive tool or database actions), and an always-on SSRF guard prevents misuse.
Typical usage patterns: initial validation (2-5 evaluations), ongoing monitoring (10-20 per quarter), production-scale coverage (40+ annually). Pricing is usage-based, allowing teams to scale testing as needed.
Move from one-time testing to continuous AI security assurance.
Highlights
- Tests every layer an attacker can reach: model, API authorization, tools/MCP, and agentic workflows across 14 attack families mapped to OWASP and MITRE ATLAS
- Executive-ready reports mapped to EU AI Act, GDPR, DPDPA, NIST AI RMF and ISO/IEC 42001
- Safe by design with authorized-target gating and non-destructive testing
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/unit |
|---|---|---|
Redteam Run | Start of a Redteam Run | $250.00 |
Dimensions summary
You pay per Redteam Run, so billing is usage-based with no upfront commitment. Each unit charge starts when you launch an automated red team run against your live AI system. The standard scope covers a single production system. Price moves with system complexity and how much of the attack library needs tailoring to your architecture. You can run it yourself or have the vendor run it and return the report. There are no tiers or instance sizes here — you simply pay for each run you start, and can schedule recurring runs per sprint.
Top-of-mind questions for buyers
One run is a single automated pass of the attack library, end to end, against your live AI system. Standard scope covers one production system. Results come back the same day in most cases, and within 24 hours in all cases, as a findings report with severity and reproduction steps.
Price moves with system complexity and how much of the attack library needs tailoring to your architecture. Multi-tenant systems, agents that can take actions, and regulated workloads sit toward the top of the range. A single-surface assistant sits near the bottom. Standard scope still covers a single production system.
The run finds what it has patterns for. Novel attack chains that require reasoning about your specific tenancy or architecture are not patterns, so no automated pass reaches them. Those need a separate human-led assessment. The vendor states this limit in writing rather than leaving you to discover it.
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Vendor refund policy
Refunds are not provided for unused subscription periods or unconsumed usage. Refunds may be issued in cases where the service is materially unavailable or fails to function due to verified technical issues attributable to CalmSparks Tech Pvt. Ltd., and such issues are not resolved within a reasonable timeframe after being reported. All refund requests must be submitted within 15 days of the incident with sufficient details.
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Software as a Service (SaaS)
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