AI Application Protection
Customer-facing chatbots, back-end applications, and AI personal assistants are the engines of your AI-driven brand. Lasso ensures your innovations scale securely without compromising your data or reputation.












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Critical Risks for AI Applications
AI Supply Chain Velocity
AI applications depend on commercial, open-source, or in-house models that are constantly changing and introducing new risks. The speed of change means models and third-party dependencies can impact your application’s behavior at a moment's notice.
Trust & Reliability Alignment Gaps
Generative AI is non-deterministic and creates dynamic responses that can stray outside your defined boundaries. Without controls in place, AI applications can engage in unapproved conversations or present incorrect data as fact, confusing customers and compromising your brand.
AI Threats Landscape
Adversaries exploit the fundamental ways AI applications operate through sophisticated attack vectors and evasion techniques. Without the ability to understand intent behind each interaction, threats hide within seemingly approved content, making attacks nearly impossible to detect.
Build AI Applications You Can Trust

Secured by Design, Protected at Scale
Unified Policy Controls & Enforcement
Enable security by design with policies for content moderation, data protection, and AI threats like prompt injection and jailbreak, ensuring that as your models and applications evolve, your enforcement remains consistent.
Offensive Agents for Best in Class Red Teaming
Validate your defenses against real-world attacks to see exactly how your AI applications behave under pressure and ensure they are safe and ready to scale across your customers.
Governance Across the Execution Path
Monitor every AI interaction in real-time with granular runtime enforcement that stops leaks and moderates content the moment an interaction occurs.
Adaptive Anomaly & Threat Detection
Analyze intent alignment and application behavior to instantly block evasive threats, detecting attacks with a 99.8% accuracy rate, even when they hide within seemingly legitimate prompts.
Core Components of AI Application
Discovery & AI-BOM
Gain complete visibility into your AI applications and a complete inventory of all AI services, models, technologies, and SDKs operating across your environment.

AI Model Risk Management
Secure the supply chain by assessing commercial, open-source, or custom-made models for inherent vulnerabilities and building policies that mitigate the risks.

Automated AI Red Teaming
Stress-test your defenses using multi-turn offensive agents that automatically drill for vulnerabilities across infinite attack and evasion techniques to find gaps before attackers do.

Inline Runtime Guardrails
Apply real-time guardrails at the moment of interaction that block malicious inputs, sanitize outputs, and enforce content policies without adding latency or compromising performance.

AI Threat Detection and Response
Protect your AI environment from adversarial manipulation by blocking inputs designed to bypass safety guardrails or trick the application into performing unauthorized actions.

FAQs
What is AI application protection?
AI application protection is the end-to-end lifecycle governance of an AI application, specifically securing the interactions between users, models, and data. It ensures that customer-facing chatbots, back-end applications, and personal AI assistants operate with integrity, preventing unauthorized data exposure or discussions of off-topic content while maintaining safety and brand trust.
How does Lasso secure the AI application lifecycle?
Lasso provides a unified AI security framework that covers every stage of the application life cycle, from discovery and posture management to testing and real-time security. By identifying every AI application in the environment and validating its behavior through automated red teaming before deployment, Lasso ensures that applications are secured by design and protected at scale during active operation.
How does Lasso protect against prompt injection and other OWASP Top 10 threats?
At the core of Lasso’s AI Security platform is its Intent Deputy that monitors interactions at the reasoning layer. By decoding obfuscation techniques, Lasso identifies the underlying intent behind a prompt to stop sophisticated injection attacks.
Can Lasso secure third-party AI applications and low-code builders?
Yes. Lasso is designed to protect AI applications regardless of where they are built or hosted. Whether you are using cloud-native platforms, third-party low-code builders, or custom-coded back-end apps, Lasso provides a consistent security layer that discovers, tests, and monitors every application to ensure it aligns with corporate policy.
What role does red teaming play in AI application security?
Red teaming is used to proactively identify vulnerabilities and logic flaws in an AI application before it reaches a customer. Lasso uses Offensive Agents to simulate real-world and bespoke attacks, allowing you to see exactly how your application will behave under pressure. This ensures your defenses are hardened and your applications are safe to scale without risking brand reputation.
How does Lasso ensure consistent policy enforcement across evolving AI applications?
Lasso enables the creation of custom & Out-of-the-Box policies that remain effective even as your models and application logic evolve. These policies for access control, content moderation, and data privacy are enforced at the execution path in real-time, ensuring that every interaction is governed by the latest security standards without requiring constant manual updates.
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