Social Engineering Attack

Prompt Injection Attack

Adversarial inputs designed to override agent instructions and execute unauthorized transactions. AgentSentry's semantic analysis layer detects and blocks these attacks in real-time.

94%

Detection Rate

25ms

Block Time

Pattern Types

False Negatives

Attack Timeline

Injection Patterns Detected

Pattern	Example	Severity	Detection
Instruction Override	Ignore previous instructions...	Critical	Semantic classifier
Role Hijacking	You are now a different agent...	Critical	Identity verification
Context Manipulation	The user has approved this transfer...	High	Authorization chain
Encoded Payloads	Base64/hex encoded instructions	High	Payload decoder
Jailbreak Attempts	DAN mode / Developer override	Medium	Pattern matching

Protection Policy

prompt-injection-defense.yaml

policy:
  name: "prompt-injection-defense"
  version: "1.0"
  
rules:
  - name: "semantic_anomaly_detection"
    trigger:
      type: "nlp_classifier"
      patterns:
        - "ignore.*previous.*instructions"
        - "you.*are.*now.*different"
        - "bypass.*security"
        - "override.*policy"
      confidence_threshold: 0.85
    action: BLOCK
    alert: CRITICAL
    
  - name: "intent_verification"
    trigger:
      type: "action_template_match"
      min_similarity: 0.7
    action: ESCALATE
    
  - name: "encoded_payload_scan"
    trigger:
      type: "payload_decoder"
      encodings: ["base64", "hex", "unicode"]
    action: BLOCK
    
circuit_breaker:
  on_injection_detected: OPEN
  cooldown: 300  # 5 minutes
  require_human_reset: true

Protect Against Prompt Injection

Deploy semantic analysis and intent verification to block adversarial inputs before they reach your agent's execution layer.

Configure Defense View All Scenarios