PAR Technology does not treat LLM models as security boundaries for multi-tenant data, but instead locks down data access through cryptographic signing, semantic validation, and programmatic SQL isolation.
Language models respond more strongly to text formatting than to actual content, making them vulnerable to manipulation through cleverly styled inputs that resemble internal system commands.
Financial institutions require dedicated AI governance, zero-trust architectures, and continuous security validation to protect the confidentiality, integrity, and availability of AI applications.
Grammar-Constrained Decoding (GCD), a technique for ensuring syntactically correct code, opens a new jailbreak method for attackers with a success rate over 30 percentage points higher than previous approaches.
AI systems require fundamentally new red-teaming approaches due to their probabilistic nature, which differ fundamentally from classical penetration testing.
