AI Runtime Defense

Protect sensitive data and prevent malicious attacks by monitoring AI prompts and responses

Prevent AI Tools from Leaking Data or Being Misused

Many businesses are rapidly creating new AI applications, training open-source models, and leveraging AI SaaS platforms. But for every AI project being built, there are dozens of users experimenting with third-party tools, or internal copilots to get the benefits of AI. But AI and LLM systems present unique challenges during runtime. Threats such as data poisoning, prompt injections, and jailbreaking, can turn trusted AI tools into conduitsfor data leaks, security threats, and serious breaches.

“AppSOC allows organizations to pursue AI initiatives confidently, with visibility, guardrails, and the governance needed to mitigate risks.”

- Cyber Defense Magazine - 2024, by Dan K. Anderson, CISO

Inline Monitoring of GenAI Prompts and Responses

AppSOC’s AI Runtime Enforcement module provides inline detection of LLM prompts and responses to prevent data leaks, stop misuse, and detect prompt injections of malware. With multiple deployment options, we can balance detection with ease-of-deployment to meet your needs, leveraging application APIs, agents, or inline proxies to intercept and inspect traffic.

RUNTIME VISIBILITY

Monitor Prompts and Responses

Advanced monitoring capabilities oversee both prompts submitted to AI tools and the responses they generate. This ensures that sensitive data is not inadvertently leaked, restricted information remains secure, and systems are protected from prompt injections, jailbreaking and other malicious content. Detects and prevents sensitive data leakage during AI runtime.

Detects and prevents data leaks during AI runtime
Stops prompt injections jailbreaking and malware
Ensures compliance with security and usage policies

FLEXIBILITY

Multiple Inspection Options

AppSOC provides multiple ways to enforce security policies across AI traffic, including frictionless monitoring through application APIs, a lightweight eBPF agent which connects directly to AppSOC for real-time analysis, or inline protection through AppSOC or third-party proxies.

Application API integrations provide frictionless deployment
Local eBPF agent provides real-time analysis and control
Available proxies comprehensively inspect inline traffic

LOSS PREVENTION

Detect Sensitive Data Leaks

AppSOC ensures robust protection against sensitive data leaks in AI prompts and responses by integrating with Data Loss Prevention (DLP) tools like Microsoft Presidio. The solution also inspects prompt payloads to block prompt injection or jailbreak attacks, and scans responses for malware or malicious code snippets using advanced ML models.

Detects protected data in prompts and responses
Stops prompt injection and jailbreak attacks
Scans responses for malware or malicious code

PROTECTION

Flexbile Enforcement Capabilities

Robust enforcement mechanisms adapt to evolving AI environments. Policy-based actions include blocking, redacting, or masking sensitive data. Automated remediation workflows ensure that issues, threats, and vulnerabilities are addressed efficiently. Seamless integration with Jira, ServiceNow, Teams and other operational tools enhances scalability and security without added complexity.

Real-time blocking, redacting, or masking of sensitive data
Automates workflows for efficient resolution of issues
Enhances efficiency with seamless ITSM integration