Artificial intelligence is transforming every business process. From automating customer support to enabling autonomous decision-making, enterprises are rapidly embedding large language models (LLMs), generative AI, and intelligent agents into their core workflows.
While AI accelerates innovation, it also expands the attack surface in unprecedented ways. GenAI applications create blind spots that traditional security can’t address. New risks such as prompt injection, sensitive data exposure, harmful content generation, and abuse patterns manipulation exploit the open-ended, language-based nature of GenAI. Since traditional security stacks were never designed for this type of interaction, attackers can bypass defenses in new ways that are already impacting enterprises. Without new detection and control mechanisms, these threats will continue to grow unchecked.
The Challenge: How Do You Secure GenAI Apps, APIs, and Agents Without Slowing Innovation?
With the expansion of Check Point CloudGuard WAF GenAI security, powered by our industry-leading ML-based WAF and Lakera advanced GenAI security (now part of Check Point), you get best-in-class prevention for your GenAI apps, APIs, and agents, all with zero administration.
Dual-Layer ML Security, Built for GenAI Apps
At the core of our approach is dual-layer machine learning architecture that delivers real-time prevention for AI-driven applications with minimal tuning and maximum adaptability, ensuring the highest level of security.
- Supervised ML Engine – Trained on millions of malicious and benign prompts to deliver unmatched detection rates.
- Unsupervised ML Engine – Continuously adapts in real time to your specific applications and APIs, refining protection as your AI evolves.
This layered approach ensures the highest threat detection with minimal false positives, protecting enterprises from today’s risks while staying ahead of tomorrow’s.
Layer 1: Supervised ML with Four New Engines
The first layer processes more than 90% of GenAI traffic with industry-leading prevention rates. It leverages specialized engines that secure every stage of AI interaction from prompt injection and data leakage to harmful content and usage abuse.
These four dedicated engines address key GenAI risks:
- Prompt Injection Prevention – Blocks prompt injections, jailbreak attempts, and manipulative user inputs.
- Data Leakage Prevention – Stops sensitive or confidential information from being exposed through model outputs.
- Content Control – Filters unsafe, harmful, or policy-violating content generated by LLMs.
- Usage Control – Detects misuse, abuse patterns, and abnormal resource consumption.
Built on a supervised and scalable foundation, this layer is enhanced by Lakera ensures resilience against both known and emerging GenAI threats.
Layer 2: Unsupervised ML with Four Context Refinement Engines
The second layer goes deeper, to the unique behavior of your app or API. It consists of refinement engines that continuously adapt in real time:
- User Behavior – Compares user or agent activity to baselines, detecting anomalies that indicate malicious intent.
- Crowd Behavior – Learns from trusted activity patterns, automatically adapting security to your application.
- Trusted Users – Accelerates protection by creating allowlists of safe, verified inputs from trusted users or agents.
- Semantic Engine (Patent Pending) – Applies unsupervised semantic analysis to understand valid prompts unique to your application, boosting accuracy without manual intervention.
This contextual intelligence keeps false positives near zero, while continuously enhancing accuracy and protection with every interaction.
Together, CloudGuard WAF and Lakera deliver best-in-class prevention, real-time adaptability, and the confidence to innovate at scale without compromise.
- Security that understands 100+ native languages.
- Exceptional accuracy with near-zero false positives.
- Requires zero tuning, zero effort.
- Securing your GenAI apps, APIs & agents from day one.
This expansion represents a major milestone in Check Point vision for its broader AI Security Platform, a unified approach to protecting how enterprises build, deploy, and use AI. By combining workforce visibility, application-layer defenses, and runtime protection for autonomous systems, Check Point is creating one continuous protection surface that spans from employees to applications to agents.
Contact us today for a demo and take it out for a ride