Lasso Security vs Vijil — Comparison

Lasso Security

Lasso’s AI Security Platform gives enterprises visibility, control, and protection across AI models, agents, and apps. Reduce GenAI risk in real time.

Protection for every AI application you build and deploy, wherever it runs. Decentralized ownership has led to Shadow AI across the enterprise. Security teams have zero visibility into the AI tools and agents employees are using and creating. Traditional security relies on predictable rules, but AI is non-deterministic. Preventing risk requires analyzing the intent behind an agent's actions rather than relying on fixed patterns. Foundational models are inherently vulnerable, introducing risk into the software supply chain. Frequent provider updates can instantly change the behavior of any agent or application built on top of them. AI systems are a critical attack surface. Adversaries are exploiting them by manipulating model behavior and bypassing agent guardrails, taking advantage of security gaps that cannot detect these anomalies or threats in real time. Comprehensive security across all your AI users, models, agents, and applications from build time to runtime. Lasso is purpose-built for enterprises with speed, scale, precision, and cost efficiency at the core of our AI Security Platform. More cost-effective than cloud-native guardrails Per classification using the fastest LLM as a judge Patents-pending on proprietary AI innovation Accuracy rate across content, context, and intent detections Attack types techniques used by our offensive AI agents “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.” Lasso's full security suite has been crucial in fortifying our GenAI applications. Their approach ensures our organization, customers, data, and employees stay protected from various attacks while allowing me full control over my environment. As a consultant, I’ve worked with countless security tools, but Lasso Security stands out with its comprehensive suite and LLM-first approach. It offers robust observation and protection for sensitive data and enables fast remediation and real-time response. In the fast-evolving AI landscape, Lasso delivers true value. As a CEO focused on driving innovation and growth, ensuring the security of AI initiatives for our clients is paramount. We’re proud to have Lasso as our trusted security partner in adopting GenAI, enabling us to focus on what we do best—innovating and growing Lasso Security’s comprehensive security suite has been a critical part in securing our GenAI infrastructure. The level of control and visibility it provides ensures that both our internal data and client information are shielded from emerging threats and gives us the confidence to embrace GenAI safely

Vijil

Cut time-to-trust in AI agents from 6 months to 6 weeks. Vijil makes agents reliable, secure & safe for enterprises with testing & protection.

To help enterprises use AI agents that are verifiably reliable, secure, and safe by providing trust as infrastructure for agent development, operations, and continuous improvement. Previously GM Director of Engineering at Amazon SageMaker. 30y across AI/ML, Data, Cloud, OS, Security; 11 AWS AI services, 30 products, 10 patents, 5 papers. AWS AI senior leader; 20y in ML systems and graphics; led PyTorch, TensorFlow, and AWS SageMaker Training teams. Previously COO at Astronomer; helped scale Lacework from $1M to $100M ARR; 20y GTM strategy partnerships for cybersecurity; consulting and investment banking; Harvard. Assistant Professor of Statistical Sciences at the University of Toronto, a Faculty Member at the Vector Institute for Artificial Intelligence, and a Faculty Affiliate at the Schwartz Reisman Institute for Technology and Society. Responsible AI leader; 10y+ in data science; co-author Trustworthy ML (O'Reilly book); 40 papers, 20 patents; key contributor to OSS (Garak, AVID, AI Village). Previously at Amazon Music,Oracle, and Viiv Labs; co-founder CTO of Adya (acquired by Qualys). Passionate about designing and building large-scale ML systems with a focus on NLP/LLMs. Enjoys reading, hiking, cooking, doing nothing. Previously at Riva Health, Viiv Labs, Solvvy, and Polycom. Over 20 years of software engineering experience. Most recently, led threat modeling and cybersecurity analysis of medical device to prepare for FDA approval. University of California, Berkeley. Previously at CapitalOne, evaluating LLMs for company-wide use. Working in the field of responsible AI since 2019, including building explainability solutions, establishing responsible AI processes, and publishing interdisciplinary research at venues like FAccT. Tries to spend at least one week a year walking in the mountains. UX/UI design and front-end developer, previously at bitlogic.io. Based in Cordoba, Argentina. Instituto Superior Politécnico de Córdoba. Previously at Amazon, Oracle, and Accenture. Working on AI/ML security engineering since 2019. Most recently, led red-teaming for Amazon AI models. Indiana University. Cloud infrastructure engineer. Most recently at MIST (acquired by Juniper), built the conversational interface to Marvis Virtual Network Assistant, designed to diagnose and resolve networking issues. University of Illinois at Urbana-Champaign. Previously at Microsoft. Research interest in trustworthy AI, ML for human safety, and autonomous vehicles. University of Michigan. Senior Applied Scientist. Previously at Lorica Cybersecurity, designed and deployed privacy-preserving machine learning products; expertise in the use of fully-homomorphic encryption and trusted execution environment for LLMs.  University of Toronto. At intersection of algorithmic fairness auditing and collective action. PhD UIUC, MS Harvard, BS Caltech. Previously at Goldman Sachs, with internships at Instacart and Snap. Previously postdoc in game theory and r

Lasso Security

Vijil

Lasso Security

Vijil

Lasso Security

Vijil