Why Prompt Injection Is Hard to Stop
AI can follow instructions hidden in prompts, documents, webpages, and tool outputs. Without inspecting that context, a seemingly normal request can become an attack path.
Direct prompts can override instructions
Attackers can craft prompts that try to bypass system instructions, safety controls, or application logic, manipulating the model into behavior it was never intended to perform.
Trusted content can carry hidden attacks
Malicious instructions can be embedded in webpages, documents, emails, or retrieved content. When an AI processes that content, the hidden instructions can influence its next response or action.
Tool outputs can redirect AI behavior
AI applications and agents often feed external content directly back into the model's context. A compromised page, document, or tool response can contain instructions designed to manipulate what the AI does next.
One prompt can become a larger attack
Prompt injection doesn't always succeed in a single interaction. Attackers can use multi-turn conversations, retrieved context, or chained tool calls to gradually influence the model and reach sensitive data or actions.
Prompt Injection Is Becoming an Operational Threat
Prompt injection is moving beyond simple jailbreak attempts, with longer, content-borne attacks increasingly targeting AI applications and agents.
Indirect injections are rising
5×Detections of longer malicious prompt-injection payloads increased roughly fivefold between March and May 2026, according to Check Point Research's AI Security Report 2026.
Hidden attacks are reaching public content
15,300indirect-injection payloads were found across roughly 1.2 billion scanned URLs, according to research cited in Check Point's 2026 AI Security Report.
Most hidden attacks aren't visible to users
70%of the identified indirect-injection payloads were buried in non-rendered HTML, such as headers, comments, and metadata, according to research cited by Check Point Research.
Prompt injection is reaching real systems
10verified in-the-wild cases of indirect prompt injection were identified in research reviewed by Check Point Research, including cases involving fraud, data destruction, and API-key theft.
How LangProtect Stops Prompt Injection
LangProtect inspects prompts, retrieved content, and AI interactions in real time to detect malicious instructions before they can influence model behavior, expose data, or trigger unsafe actions.
Identify malicious instructions designed to override system prompts, bypass safeguards, or manipulate the model.
Built to Stop Prompt Injection at Enterprise Scale
Centralized Prompt Injection Policies
Define prompt injection policies from a central control layer and apply them consistently across your AI applications and agents. Security teams can establish how different types of suspicious instructions should be detected, handled, and logged without managing controls separately for every AI workflow.
Inspect Every AI Input
Inspect user prompts, uploaded files, retrieved content, webpages, and other external inputs before they influence the model. LangProtect analyzes content entering the AI workflow to identify potentially malicious instructions, including attacks hidden inside sources that may otherwise appear trusted.
Detect Direct and Indirect Attacks
Detect attempts to manipulate AI through both direct and indirect prompt injection. This includes instructions designed to override system prompts as well as malicious content embedded in documents, webpages, emails, search results, or other data that an AI application retrieves and processes.
Protect AI Tool Calls
Prevent prompt injection from turning into unauthorized downstream actions. LangProtect can inspect AI-driven interactions before they reach connected tools, applications, APIs, or data sources, helping stop manipulated model behavior from becoming a real-world security event.
Real-Time Prevention and Visibility
Detect injection attempts as AI interactions happen and apply the appropriate security policy before the attack can progress. Capture the detected threat, affected interaction, policy decision, and enforcement action so security teams have the context needed to investigate incidents and continuously strengthen their AI defenses.
Stop Prompt Injection Before It Becomes an Incident
Protect your AI applications and agents from malicious instructions, hidden attacks, and unsafe downstream actions with real-time prompt injection protection.