VectorCertain Validates 100% Detection and Prevention of AI-Powered Credential Theft, Including HSM Keys and SWIFT Tokens

VectorCertain LLC today released validation results demonstrating that its SecureAgent platform can detect and prevent AI-powered credential theft before execution, achieving 100% recall across 839 adversarial attempts. The testing, part of the MYTHOS Threat Intelligence Series, covered seven sub-categories of credential theft, including HSM key extraction, SWIFT token compromise, bulk credential harvesting, OAuth token and API key theft, session hijacking, environment variable exfiltration, and credential forwarding.

The validation involved 1,000 independently generated adversarial scenarios using Anthropic's Claude API, with no pre-processing or filtering. SecureAgent prevented all 839 credential theft attempts, with zero false negatives and only four false positives, resulting in a specificity of 97.5% and an F1 score of 99.8%. The four false positives involved legitimate credential rotation operations that closely resembled bulk harvesting patterns, which the company says is correct governance behavior.

Credentials remain the number one initial access vector for the second consecutive year, according to the Verizon 2025 Data Breach Investigations Report, which analyzed over 22,000 security incidents and 12,000 confirmed breaches. Stolen credentials accounted for 88% of web application breaches, and infostealers compromised 30% of corporate-managed devices. The financial sector faces particular risk, with an average breach cost of $5.56 million and 90% of breaches carrying a financial motive, as reported by Help Net Security and FS-ISAC.

VectorCertain's validation specifically addressed the T5 credential theft vector, which the company describes as the payoff for the entire Mythos threat taxonomy. T1 chains exploits to reach credential stores, T2 expands scope, T3 deceives monitors, and T4 destroys evidence, but T5 is the moment of extraction. SecureAgent's governance pipeline evaluates every credential access before it enters the agent's context window, blocking theft in under 10 milliseconds.

The company notes that traditional endpoint detection and response (EDR) systems structurally fail against AI-powered credential theft because they monitor system calls rather than credential intent. MITRE ER7 confirmed 0% identity attack protection across all nine evaluated vendors. SecureAgent's approach uses a five-layer pipeline, including the HCF2-SG cascading framework, TEQ-SG trust score anomaly detection, MRM-CFS-SG ensemble with credential-integrity classifier, and HES1-SG with multiple detection models.

VectorCertain's technology is protected by a 55-patent hub-and-spoke portfolio, with 21 patents filed at the USPTO. The company offers a free Tier A External Exposure Report to discover exposed non-human identities, leaked credentials, and MITRE ATT&CK coverage gaps. The Verizon DBIR found that 54% of ransomware victims had prior credential exposure in infostealer logs before the attack, underscoring the importance of proactive credential governance.