Red Teaming Where AI Risk Becomes Real
Build an adversarial immune layer across your AI ecosystem — validating chatbots, copilots, RAG systems, autonomous agents, third-party AI platforms, guardrails, and connected workflows under adversarial pressure.
If a real adversary could break it, we already did.
Your whole AI ecosystem — under adversarial pressure.
Chatbots, copilots, RAG systems, autonomous agents and the third-party AI platforms you rely on — we validate the guardrails around them and turn every finding into audit-ready evidence.
Probes, not surface scans.
We attack your models, LLM-powered applications and agents the way a real adversary would — exposing jailbreaks, prompt injection, goal hijacks, tool abuse and guardrail failures.
- →Direct & indirect prompt injection
- →Jailbreak & role-play attacks
- →Tool, API & data-exfiltration abuse
Secure every agent — even the ones you didn't build.
Inventory, map, scan and secure every AI agent, including multi-agent systems, autonomous workflows and third-party integrations.
- →Discover & map agents and their permissions
- →Trace tool calls and execution paths
- →Contain blast radius across multi-agent systems
Mapped to the frameworks that matter.
Every probe maps to OWASP LLM Top 10, MITRE ATLAS and NIST AI RMF — turning findings into audit-ready, regulator-ready evidence.
- →OWASP LLM Top 10 attack categories
- →MITRE ATLAS tactics & techniques
- →NIST-aligned gap documentation
Findings that hold up under scrutiny.
Every probe maps to the standards your regulators, auditors and procurement teams already trust.
Connect your stack in minutes.
Point Sera at any model, application or agent — no rebuild required.
Models
OpenAI
Anthropic
GoogleOpen-source LLMsPlatforms
Agent frameworks
LangChain
LangGraphCustom agentsInterfaces
Red teaming that keeps up with agentic AI.
Without Sera
- ✕Manual, one-off red teaming that misses agentic attack paths
- ✕Surface-level safety checks that pass while guardrails fail
- ✕No defensible record when regulators or plaintiffs ask
With Sera
- ✓Automated adversarial probes across models, apps and agents
- ✓Behavioral testing of the system itself, under pressure
- ✓Audit-ready evidence mapped to OWASP, MITRE & NIST
Go deeper on adversarial AI.
Indirect prompt injection in tool-using agents
When an agent reads attacker-controlled content, that content can become instructions. The anatomy, the blast radius, and the controls that contain it.
Read more →Securing Agentic AI: Why Autonomy Changes the Risk Model
Traditional AppSec assumes a human acts on the model's output. Agents remove the human. When output becomes action, the risk model has to change with it.
Read more →Prompt Injection: The #1 Risk Every AI Product Team Must Understand
Why the top risk in the OWASP LLM Top 10 is a design property, not a bug — and what that means for every team shipping AI.
Read more →Find out what breaks — before it ships.
Start with a free risk assessment. We'll probe a live system and show you exactly where it's exposed.