Pick from curated attack scenarios and compliance packs to get signal on day one.
Snowcrash continuously stress-tests your LLMs, tools (MCP), and agents with real adversarial techniques — before & after deployment — so enterprises and governments can ship AI with confidence.
Plug Snowcrash into your LLM stack and CI/CD. The template library and orchestrator let you go from “hello world” to live red-team runs quickly — with dashboards and evidence designed for security + engineering.
Pick from curated attack scenarios and compliance packs to get signal on day one.
Compose adversarial plans and policies that match your data, models, and tools.
Trigger runs pre-release and post-release — the scheduler keeps assurance continuous.
LLMs can touch data, code, and infrastructure. They’re non-deterministic and adversaries adapt quickly — so fixed filters and static guardrails are not enough.
Firewalls and guardrails reduce risk but can be circumvented by jailbreak mutation, tool abuse, and data-exfil tactics. Security teams need continuous offensive testing.
Automated red-teaming that generates, mutates, and executes adversarial scenarios across your LLMs, agents, and tools. Findings are prioritized by exploitability and business impact with reproduction steps and mitigations.
Explores the attack space using planners and mutation strategies to uncover jailbreaks, exfil, and tool-abuse pathways.
Simulates malicious tool calls, privilege escalation, and data poisoning in agentic apps.
Cron + pipeline hooks keep testing after every release and model update.
Quantifies bypass likelihood across prompts, policies, and filters.
Ranked findings with traces, repro prompts, and suggested controls.
Risk scores, trendlines, and exportable reports for auditors and execs.
Non-dilutive grants: DARPA, AFWERX, SpaceWERX.
Download PDF · Coming soon
Download PDF · Coming soon
Download PDF · Coming soon
Book a pilot. We’ll adversarially test your LLMs, agents, and MCP tools and deliver a prioritized remediation plan.