Red teaming for LLM products that cannot afford surprises.
Sodhak AI runs adversarial LLM red teams powered by Sodhak-RT, our testing platform, to uncover jailbreaks, data leakage, and unsafe tool behavior before you ship.
120+
LLMs tested
3-10 days
Typical engagement
4x
Retest loops per cycle
Red team findings
Last 7 days of attack runs- Injection vectors92
- Policy bypass78
- Tool abuse64
Adversarial pulse
ActiveHuman red teams + automated attack suites pressure-testing your LLM product surface around the clock.
Red team coverage that mirrors your product surface.
We attack prompts, tools, and retrieval systems to uncover failures before launch.
Prompt Injection & Jailbreaks
Attack prompts, system overrides, and policy bypass paths to expose unsafe model behavior before launch.
RAG Data Exfiltration
Probe retrieval pipelines for leakage, source poisoning, and unauthorized data extraction.
Tool Abuse Scenarios
Simulate agent tool misuse, privilege escalation, and unsafe automation chains.
Policy Evasion
Stress safety layers with adaptive, multi-turn adversarial strategies.
Multilingual Attacks
Run cross-lingual jailbreak suites and region-specific threat patterns.
Custom Attack Design
Build bespoke exploits matched to your domain, data, and product surface.
Case studies from red team engagements.
We turn exposure into action across sensitive AI use cases.
Fintech copilots
Found 47 critical jailbreak paths in 5 days.
Mapped tool abuse routes across payments and CRM workflows and delivered a retest-ready fix list.
Healthcare summarization
Uncovered PHI leakage in 72 hours.
Simulated data extraction attacks against RAG summaries and mapped mitigation steps.
Sodhak-RT, the red teaming engine.
Our product orchestrates attack suites, captures evidence, and tracks retests so engagements move faster and ship with confidence.
Live demo in 30 minutes.
See how Sodhak-RT runs multi-turn attacks and exports findings to your workflow.
Attack Suite Library
600+ curated jailbreaks, injections, and data exfiltration tests refreshed weekly.
Our red team loop is built for AI velocity.
Sodhak AI blends human adversaries and automation to deliver fast, repeatable testing cycles.
Red team sprint in 5 days.
We deploy an embedded team, deliver a prioritized fix list, and validate remediation with retesting.
Scope the model surface
Catalog prompts, tools, data sources, and user journeys to define realistic attack paths.
Design adversarial suites
Curate tests from our jailbreak library and craft bespoke attack prompts.
Execute red team sprints
Combine automated fuzzing with human adversaries to find critical failures fast.
Deliver fixes and retest
Provide prioritized findings, mitigation guidance, and retest validation.
Adversarial intel that stays ahead of jailbreaks.
We track emerging attack patterns and refresh our suites every week.
620+
Curated jailbreak, injection, and data exfiltration tests.
6 days
From initial findings to verified fixes.
88%
New failures mapped to mitigations.
Teams trust Sodhak for LLM red teaming.
Embedded collaboration, measurable risk reduction, and faster AI launches.
"Sodhak ran a red team that revealed blind spots our internal tests missed. The report was actionable within days."
Head of AI, Logistics Tech"They validated fixes and re-tested fast, so we could ship without guessing."
Security Lead, Enterprise SaaSTalk to the LLM red team.
We respond within 24 hours with a scoped red team plan and timeline. Prefer email? Reach us at hello@sodhakai.com.
HQ
San Francisco, CA
Coverage
North America, Europe, APAC
Focus
LLM red teaming, adversarial testing, Sodhak-RT platform