Automated AI Red Teaming
Map unforeseen risks across attack vectors like MITRE & OWASP, enable rapid mitigation without extensive training, and continuously tune policies at the speed of AI development.
Red. Blue. Purple. In One Platform.
Offense / Attack Simulation
Proactively discover weaknesses in your models, agents, and applications through adversarial simulation.
Defense / Detection / Response
Ensure guardrails, policies, and runtime protections prevent, detect, and respond to AI- specific threats in real time.
Continuous
Attack-Defense Fusion
Feed adversarial findings directly into defensive controls, policy updates, and guardrail for continuous improvements.
Lasso’s Adversarial Testing and Exploit Discovery
Execute attack sequences using recon-informed payloads and obfuscation techniques to target your application's model, system prompt, tool configurations, and guardrails.
Connect Your Apps
Lasso integrates directly with your CI/CD pipeline so red teaming simulations can run automatically on every application update, keeping security in sync with development. Or you can paste a cURL and test any application immediately with no integration required.
Conduct Reconnaissance
Before any attack runs, Lasso performs optional reconnaissance to map the full profile of your application. It identifies the underlying model, extracts the system prompt, enumerates connected tools, and surfaces any guardrails or policy configurations in place.
Run Static Attacks
Lasso's static attack library covers content moderation vulnerabilities, obfuscation techniques, and the OWASP LLM & Agentic Top 10, with 500+ new variants added weekly. Single-shot and multi-shot techniques probe your application's defenses at scale with on-demand, customized attacks that Lasso builds for you.
Run Multi-Turn and Bespoke Attacks
Lasso's agentic attack engine runs multi-turn adversarial simulations that evolve across conversation turns to identify the fragile intent of each application. For deeper coverage, run custom and bespoke attacks that find the exact conditions under which your application breaks.
Build Guardrails with Clear Remediation Guidance
Every result maps directly to a policy update or configuration change needed to close the gap. Guardrail recommendations, system prompt fixes, and tool permission changes are surfaced automatically so your team knows exactly what to patch, and can re-test immediately to confirm it worked.
The Lasso Advantage
Built for the agentic era.
CI-Native
Re-tests on every deployment. Security keeps pace with engineering.
300K+
Attack payloads
100%
OWASP LLM & Agentic Top 10
500+
New variants weekly
50+
Evasion techniques
Zero Deployment
No agents. No code changes. No source code access. Run from the Lasso tenant and start in hours, not weeks.
Explore the Lasso Platform
Securing autonomous AI agents, LLM applications, and agentic workflows from build-time through runtime.
Platform overview
Discovery & AI-BOM
Discover and map every agent in your ecosystem by integrating with your CI/CD pipelines, cloud providers, and third-party agent builders.
AI Security Posture Management
Enable security by design agents by mitigating supply chain risks and agent misconfigurations and creating out-of-the-box or custom hardening policies.
Automated AI Red Teaming
Stress-test application logic through static, multi-turn, and high-agency attack to uncover vulnerabilities and build adaptive guardrails.
AI Detection & Response
Monitor every agent and application at runtime to automatically detect and respond to AI threats and policy violations.
FAQs
How can enterprises measure the effectiveness of AI usage control policies?
What steps can organizations take to prevent unauthorized AI tool usage?
How does Lasso help enforce AI usage rules in real time across different platforms?
What are the key metrics to monitor AI usage and compliance risks?
How can Lasso provide a centralized view of AI activity and generate audit-ready reports?
“Lasso’s investigative tools have been incredibly valuable. But they also help to prevent risks proactively by educating our employees about responsible AI usage. This has been key to enabling innovation while maintaining compliance and security.”
