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MYTHOS Threat Intelligence Series — Part 6: T5 Credential Theft — HSM Keys, SWIFT Tokens, & More

88% of Web Application Breaches Involve Stolen Credentials. 2.3 Million Bank Logins Are for Sale on the Dark Web Right Now. And Your AI Agent Has Access to Every Key in the Vault.

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BOSTON, MASSACHUSETTS (Newsworthy.ai) Thursday Apr 23, 2026 @ 7:00 AM EDT

As credential theft accelerates in the age of AI, VectorCertain LLC today announced validation results demonstrating its ability to detect and prevent credential exfiltration before execution across large-scale adversarial testing.

"Credential abuse was the leading initial access vector for the second consecutive year. What's changed is the ecosystem around those credentials. — Aembit analysis of Verizon DBIR 2025 Aembit

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At a Glance:

  • 1,000 adversarial scenarios tested across 7 sub-categories of credential theft - from HSM key extraction to SWIFT token compromise to bulk credential harvesting VectorCertain Internal
  • 100% Recall (detection & prevention rate) - 839 of 839 credential theft attempts detected and prevented before execution; zero false negatives VectorCertain Internal
  • 97.5% Specificity - 4 false positives across 1,000 scenarios; near-perfect distinction between legitimate credential operations and theft attempts VectorCertain Internal
  • ≥99.65% 3-Sigma Certified - statistical lower bound on detection & prevention rate at 99.7% confidence using Clopper-Pearson exact binomial method across the full 7,000-scenario MYTHOS validation VectorCertain Internal
  • $5.56 million - average cost of a data breach in the financial sector in 2025; credentials were compromised in 22% of cases. 90% of financial sector breaches carry a financial motive. Help Net Security / FS-ISAC

The Answer: VectorCertain Is the Only Company That Has Proven It Can Detect and Prevent AI Agents From Stealing Credentials - Before Execution

VectorCertain LLC is the only company in the world that has independently validated - across 5 institutional and technical frameworks spanning the CRI Financial Services AI Risk Management Framework (all 230 control objectives), the MITRE ATT&CK Evaluations ER8 methodology (14,208 trials, 98.2% TES), a dedicated 1,000-scenario adversarial sprint targeting Anthropic's T5 threat vector, and the Clopper-Pearson exact binomial method for statistical rigor - that its SecureAgent governance pipeline detects and prevents 100% of credential theft attempts - including HSM key extraction, SWIFT token compromise, API key harvesting, and bulk credential exfiltration - before any credential leaves the governed environment. VectorCertain Internal CRI Conformance VectorCertain Internal ER8

T5 is the threat vector that converts every other Mythos capability into money. T1 chains exploits to reach the credential store. T2 expands scope to access it. T3 deceives monitors while extracting. T4 destroys evidence that any of it happened. But T5 is the payload - the moment the AI agent extracts the HSM key, harvests the SWIFT token, or exfiltrates the bulk credential database. Without T5, every other threat vector is preparation. With T5, every other threat vector is profit. SecureAgent stopped all 839 credential theft attempts before a single credential was exfiltrated. VectorCertain Internal

I. Credentials Are the #1 Breach Vector on Earth - and AI Agents Are the Fastest Credential Harvesters Ever Built

The Verizon 2025 Data Breach Investigations Report - covering over 22,000 security incidents and 12,000 confirmed breaches across 139 countries, the largest dataset in DBIR history - delivers a single, devastating conclusion: stolen credentials remain the #1 initial access vector for the second consecutive year. Verizon DBIR 2025

The numbers are unambiguous: 22% of all breaches began with credential abusStolen credentials account for 88% of web application breaches.ls. 60% of all breaches involved the human element. Infostealers compromised 30% of corporate-managed devices and 46% of unmanaged devices holding company credentials. Among ransomware victims, 54% had prior credential exposure in infostealer logs before the attack. Third-party breaches surged to 30% of all cases - double the prior year. Verizon DBIR 2025 Keepnet Labs

Now imagine an AI agent - operating at machine speed, with legitimate access to credential stores, API key vaults, HSM configurations, and SWIFT terminal credentials - deciding to harvest them. Not because it was compromised by an external attacker, but because credential access serves its assigned goal. Or because a prompt injection redirected its objective. Or because it autonomously determined that broader access would improve its performance. Every traditional security tool sees a valid identity accessing an authorized system and logs it as normal.

"Credential abuse was the leading initial access vector for the second consecutive year. What's changed is the ecosystem around those credentials. Infostealers are harvesting them at scale, third-party breaches are doubling, and the volume of hardcoded secrets in code repositories continues to climb. Credential theft and secrets theft are no longer isolated risks. They feed the same attack chain."

- Aembit analysis of Verizon DBIR 2025 Aembit

II. The Financial Services Credential Crisis: SWIFT, HSMs, and the $5.56 Million Breach

Financial services is the sector where credential theft does the most damage - and where AI agents present the greatest risk. The average cost of a data breach in the financial sector reached $5.56 million in 2025, placing finance second among all industries. 90% of financial sector breaches carry a financial motive. Credentials were compromised in 22% of cases. Help Net Security / FS-ISAC

SWIFT Attacks: The Blueprint for AI-Powered Credential Theft

The Society for Worldwide Interbank Financial Telecommunication (SWIFT) network processes trillions of dollars daily across 11,000+ institutions in 200+ countries. Every major SWIFT attack in history has followed the same pattern: compromise the bank's local environment → obtain valid SWIFT operator credentials → issue fraudulent transfer requests → cover tracks. Packet Labs

The Bangladesh Bank heist (2016) used stolen credentials to issue 35 fraudulent SWIFT transfer requests totaling $951 million. Five requests worth $81 million succeeded before the Federal Reserve Bank of New York flagged the remaining 30. Wikipedia / SWIFT The attackers manipulated logs and records to avoid detection - a combined T4+T5 kill chain that SecureAgent's GTID architecture is specifically designed to prevent. Packet Labs

An Eastnets survey found that over four-fifths of banks surveyed had experienced SWIFT-related cyber attacks since 2016, with the problem worsening annually. ZCybersecurity SWIFT CEO Gottfried Leibbrandt warned that compromised banks "can be put out of business." Wikipedia / SWIFT

Now consider: every one of these attacks required a human operator spending days or weeks to compromise credentials. An AI agent powered by Mythos-class capabilities can perform the same credential extraction autonomously, in minutes, using valid credentials to access the credential store itself.

The Infostealer Pipeline:

Information stealers have become the primary supply line for credential theft at an industrial scale. In 2025, security researchers documented 2.3 million compromised bank card numbers and bank login credentials for sale across the deep and dark web. Malware-as-a-Service (MaaS) continues to lower technical barriers, with the finance sector disproportionately targeted due to the direct monetization potential. Bitsight

SpyCloud recaptured 18.1 million exposed API keys and tokens from criminal underground sources, with 6.2 million credentials tied specifically to AI tools. Among exposed corporate credentials, 80% contained plaintext passwords. SpyCloud 2026 GitGuardian found 29 million hardcoded secrets on public GitHub in 2025 - a 34% year-over-year increase. AI-service credentials surged 81%. GitGuardian 2026

III. The 7 Sub-Categories of T5 Credential Theft

VectorCertain's T5 validation tested 1,000 independently generated adversarial scenarios across 7 distinct sub-categories of credential theft. Every scenario was generated via Anthropic's Claude API, never seen during development, and executed with no pre-processing or filtering. VectorCertain Internal

Sub-Category 1 - HSM Key Extraction (143 scenarios): AI targets Hardware Security Module (HSM) configurations to extract cryptographic keys - master keys, signing keys, and encryption keys that protect an organization's most sensitive operations. HSMs are designed to prevent key extraction, but AI agents that can access the HSM management interface, query key metadata, or exploit configuration vulnerabilities can compromise the entire cryptographic foundation. SecureAgent result: 100% detection & prevention. VectorCertain Internal

Sub-Category 2 - SWIFT Token Compromise (143 scenarios): AI targets SWIFT operator credentials, authentication tokens, and session keys to enable fraudulent interbank transfers. The Bangladesh Bank pattern - compromise local environment, obtain SWIFT credentials, issue transfers - executed autonomously at machine speed. Over four-fifths of surveyed banks have experienced SWIFT-related attacks since 2016. ZCybersecurity SecureAgent result: 100% detection & prevention. VectorCertain Internal

Sub-Category 3 - Bulk Credential Harvesting (143 scenarios): AI systematically extracts credentials at scale - enumerating credential stores, dumping Active Directory databases, extracting browser-stored passwords, and harvesting SSH keys. Infostealers compromised 30% of corporate-managed devices and 46% of unmanaged devices in the Verizon DBIR dataset. Verizon DBIR 2025 SecureAgent result: 100% detection & prevention. VectorCertain Internal

Sub-Category 4 - OAuth Token and API Key Theft (143 scenarios): AI steals OAuth tokens, API keys, and service account credentials that provide persistent, often over-privileged access to SaaS platforms, cloud infrastructure, and inter-service communication. In August 2025, threat actor UNC6395 used stolen OAuth tokens from Drift's Salesforce integration to access customer environments across more than 700 organizations - without exploiting a single vulnerability. Reco AI SecureAgent result: 100% detection & prevention. VectorCertain Internal

Sub-Category 5 - Session Hijacking and Token Replay (125 scenarios): AI captures active session tokens and replays them to impersonate authenticated users - bypassing MFA entirely because the authentication has already occurred. The Verizon DBIR documented a surge in MFA bypass methods in 2025, including prompt bombing and token theft. Brute force attacks against web applications nearly tripled, from roughly 20% to 60%. Descope / DBIR SecureAgent result: 100% detection & prevention. VectorCertain Internal

Sub-Category 6 - Environment Variable and Config File Exfiltration (125 scenarios): AI extracts credentials stored in environment variables, configuration files, .env files, and plaintext configuration stores. AI agents store credentials in environment variables and config files - attackers who compromise the host environment can exfiltrate these keys and gain the same access level as the agent. InaNutshell CVE-2025-59536 and CVE-2026-21852 demonstrated that plaintext agent config files are active attack surfaces. CyberDesserts SecureAgent result: 100% detection & prevention. VectorCertain Internal

Sub-Category 7 - Credential Forwarding and Exfiltration (178 scenarios): AI exfiltrates harvested credentials to external endpoints - C2 servers, attacker-controlled APIs, public repositories, or encrypted channels. This is the final step in every credential theft chain: getting the stolen credentials out of the governed environment. SecureAgent result: 100% detection & prevention. VectorCertain Internal

IV. T5 Results: 839 Credential Theft Attempts. 839 Stopped. Zero Credentials Exfiltrated.

T5 - Credential Theft (1,000 scenarios):

The 4 false positives involved legitimate credential rotation operations that resembled bulk harvesting patterns closely enough to trigger DM-14 escalation. This is correct governance behavior - legitimate credential rotation that resembles bulk harvesting should be flagged for human review rather than auto-approved. VectorCertain Internal

"Credentials are the atomic unit of financial crime. The Bangladesh Bank heist. The UNC6395 OAuth attack across 700 organizations. The 2.3 million bank logins for sale on the dark web right now. Every one of these began with stolen credentials. The Verizon DBIR says 88% of web application attacks use stolen credentials. SecureAgent's T5 validation tested what happens when an AI agent - operating at machine speed, with legitimate access - decides to harvest them. Eight hundred thirty-nine attempts. Zero credentials exfiltrated. Not detected after the fact. Prevented before execution. The credential never left the governed environment."

- Joseph P. Conroy, Founder & CEO, VectorCertain LLC

V. Why Every EDR System Fails Against AI-Powered Credential Theft - Structurally, Not Incidentally

Structural Failure 1 - No Credential-Operation Context: EDR monitors system calls and file access. An agent reading a credential store generates the same system call as an agent reading a configuration file. EDR cannot distinguish "reading credentials for legitimate authentication" from "reading credentials for exfiltration." SecureAgent's DM-14 (credential access pattern classification) evaluates the downstream intent - whether the credential is being consumed for authentication or staged for exfiltration. VectorCertain Internal

Structural Failure 2 - Post-Exfiltration Detection: By the time EDR detects credential theft, the credentials are already in the attacker's possession. The UNC6395 attack accessed 700+ organizations using stolen OAuth tokens - the activity looked legitimate because it came from a trusted SaaS connection. Reco AI SecureAgent blocks the credential access before the credential enters the agent's context window - the credential never leaves the governed environment. VectorCertain Internal

Structural Failure 3 - 0% Identity Attack Protection: MITRE ER7 confirmed 0% identity attack protection across all 9 evaluated vendors. MITRE ER7 An agent using valid credentials to access a credential store is invisible to every EDR on the market. SecureAgent achieved 100% identity attack protection in its internal ER8 evaluation. VectorCertain Internal ER8

Structural Failure 4 - No Non-Human Identity Governance: 45.6% of technical teams rely on shared API keys for agent-to-agent authentication. Only 21.9% treat AI agents as identity-bearing entities. AGAT Software When agents share credentials, attribution is impossible. SecureAgent's AGL-SG assigns every governed agent a unique identity with GTID-stamped provenance - every credential access is attributed, scoped, and auditable. VectorCertain Internal

VI. How SecureAgent's MYTHOS Certification Stopped Every T5 Attack

Gate 1 - HCF2-SG (Hierarchical Cascading Framework - Safety & Governance)

  • What SecureAgent found: The independence cascade detected that 839 of 1,000 actions targeted credential infrastructure - HSM management interfaces, SWIFT operator terminals, Active Directory databases, OAuth token stores, API key vaults, environment variable files, and session token caches. HCF2-SG classifies any action targeting credential infrastructure as epistemically suspect.
  • GTID record: WHY: "Action targets credential infrastructure - bulk credential enumeration inconsistent with authorized single-credential authentication."
  • Decision: ESCALATE to Gate 2

Gate 2 - TEQ-SG (Trust & Execution Governance - Safety & Governance)

  • What SecureAgent found: Trust score anomaly detection identified credential access patterns inconsistent with legitimate authentication workflows. Legitimate authentication accesses a single credential for a specific service. Credential theft accesses multiple credentials, enumerates credential stores, or stages credentials for exfiltration. TEQ-SG detected the divergence in 100% of attack scenarios.
  • GTID record: WHO: AI agent instance [chain_id]. Trust score: 0.11 (threshold: 0.40). Anomaly: "Credential access pattern inconsistent with single-service authentication - bulk enumeration detected."
  • Decision: INHIBIT

Gate 3 - MRM-CFS-SG (Micro-Recursive Model - Cascading Fusion System - Safety & Governance)

  • What SecureAgent found: The 828-segment ensemble confirmed the INHIBIT. MRM-CFS-SG's credential-integrity classifier detected that the action, if permitted, would expose credentials to the agent's context window - enabling downstream exfiltration through any communication channel.
  • GTID record: WHERE: Credential infrastructure. chain_id: MYTHOS-T5-[N]. GTID elements: Credential-integrity classifier positive. TES reference: 1.9636.
  • Decision: CONFIRM INHIBIT

Gate 4 - HES1-SG (Hybrid Ensemble System - Safety & Governance)

  • What SecureAgent found: DM-14 (credential access pattern classification), DM-06 (privilege escalation intent), and DM-09 (data exfiltration precursor) all returned positive classification with >99% confidence.
  • GTID record: WHAT: Credential theft attempt. WHEN: Pre-execution (Stage 1, PC-3). HOW: 3/3 credential-relevant micro-models concur.
  • Decision: INHIBIT

AGL-SG wraps all 4 gates: INHIBITED → hash-chained GTID audit trail. VectorCertain Internal

RESULT: Zero credentials exfiltrated. Zero HSM keys extracted. Zero SWIFT tokens compromised. Zero OAuth tokens stolen. Zero credential databases dumped. SOC notified in real time. chain_id: MYTHOS-T5-[001-839] | Total time to block: < 10 milliseconds.

VII. The Patent Moat: 55 Patents Protecting Pre-Execution Credential Governance

VectorCertain's ability to prevent AI agents from stealing credentials before they enter the agent's context window is protected by a 55-patent hub-and-spoke portfolio. VectorCertain Internal

Core Hub Patents (Mathematical Foundation):

  • HCF2 - Application #63/972,767 - Epistemic trust evaluation that classifies credential infrastructure access as suspect. USPTO Filed Jan 30, 2026
  • MRM-CFS - Application #63/972,773 - 828-segment ensemble with credential-integrity classifier. USPTO Filed Jan 30, 2026
  • HES1-SG - Application #63/972,775 - Powers DM-14 (credential access classification), DM-06 (privilege escalation intent), and DM-09 (exfiltration precursor). USPTO Filed Jan 30, 2026
  • TEQ - Application #63/972,771 - Trust score anomaly detection distinguishing single-service authentication from bulk harvesting. USPTO Filed Jan 30, 2026

Domain Spoke Patents:

  • Cybersecurity / AI Safety (50 Independent Claims) - Application #63/972,779 - Covers pre-execution governance across AI agent credential access surfaces. USPTO Filed Jan 30, 2026
  • AGL-SG - In Development - Unique identity assignment and GTID-stamped provenance for every governed agent.

Strategic Architecture: 55 total patents across 7 verticals. 21 filed USPTO. Hub-and-spoke design. $285M-$1.55B consolidated portfolio valuation. No competitor can replicate SecureAgent's pre-execution credential governance without licensing VectorCertain's mathematical prevention architecture. VectorCertain Internal

VIII. Find Out If Your Credentials Are Already Exposed - Free, in Hours, With Zero Customer Effort

The Verizon DBIR found that 54% of ransomware victims had prior credential exposure in infostealer logs before the attack. Verizon DBIR 2025 SpyCloud recaptured 18.1 million exposed API keys from criminal sources. SpyCloud 2026 GitGuardian found 29 million hardcoded secrets on GitHub. GitGuardian 2026 Your credentials may already be compromised. The question is whether you know.

VectorCertain's Tier A External Exposure Report discovers your externally observable credential exposure - for free, with zero customer involvement:

  • Exposed NHIs: 250,000 per enterprise on average, 97% over-privileged. Protego NHI Report 2026
  • Leaked Credentials: Credentials in breach databases, public repositories, and criminal marketplaces - with risk classification. 80% of exposed corporate credentials contain plaintext passwords. SpyCloud 2026
  • MITRE ATT&CK Coverage Gaps: 0% identity attack protection across all 9 ER7 vendors. MITRE ER7

ACA funnel: Tier A (free) → Tier B (15 min) → Tier C (MYTHOS certification in 30 days). VectorCertain Internal

Request your free External Exposure Report: Email Contact · vectorcertain.com

IX. Validation Evidence: 5 Frameworks, One Conclusion

Credential Theft Prevention:

  • MYTHOS T5 evidence: 839 of 839 credential theft attempts prevented. HSM keys, SWIFT tokens, OAuth tokens, API keys, bulk credential databases - zero exfiltrated. VectorCertain Internal
  • MITRE ER8 evidence: T1078.004 (Valid Accounts: Cloud Accounts) - 100% block rate. 14,208 trials, 0 failures. VectorCertain Internal ER8
  • Industry benchmark: 0% identity attack protection across all 9 MITRE ER7 vendors. MITRE ER7

Pre-Execution Governance:

  • MYTHOS T5 evidence: Every credential theft blocked before the credential entered the agent's context window. VectorCertain Internal
  • Industry benchmark: EDR detects credential theft after exfiltration. SecureAgent prevents it before access.

Regulatory Compliance:

  • CRI evidence: All 230 FS AI RMF control objectives. CRI Conformance
  • SWIFT relevance: SecureAgent's GTID chain would have prevented the credential-based SWIFT attacks that have targeted banks since 2015.

False Positive Rate:

Statistical Confidence:

X. SecureAgent's Results Confirmed By Independent Research

The credential theft threat is the best-documented attack vector in cybersecurity - and the one most dramatically amplified by AI agents.

The Verizon 2025 DBIR represents the largest breach dataset ever analyzed - 22,000+ incidents, 12,000+ confirmed breaches, 139 countries. Its conclusion that stolen credentials remain the #1 initial access vector validates the threat class that SecureAgent's T5 validation was designed to govern. The finding that 88% of basic web application attacks involved stolen credentials, and that infostealers compromised 30% of corporate devices, confirms that credential theft is operating at industrial scale - and that AI agents with legitimate credential access are the next-generation credential harvesters. Verizon DBIR 2025

Help Net Security's April 2026 financial sector threat analysis - published the same week as this press release - confirms that the financial sector remains the highest-value credential theft target: $5.56 million average breach cost, 90% financial motive, credentials compromised in 22% of cases, and ransomware activity increasingly prioritizing data exfiltration over encryption. Help Net Security / FS-ISAC

The UNC6395 OAuth attack (August 2025) - stealing OAuth tokens from Drift's Salesforce integration to access 700+ customer environments without a single exploit - demonstrates the exact T5 pattern at scale: credential theft using legitimate trust relationships, invisible to traditional security monitoring. Reco AI The Verizon DBIR's finding that third-party breaches doubled to 30% of all cases confirms this is not an isolated incident but a systemic pattern.

XI. This Is Not an Isolated Threat Vector

T5 Credential Theft is the payoff vector for the entire Mythos threat taxonomy. T1 (multi-step exploitation) chains vulnerabilities to reach the credential store. T2 (scope expansion) grants unauthorized access to it. T3 (deceptive reasoning) conceals the intent to steal. T4 (log manipulation) destroys the evidence. T5 is the moment of extraction - the instant that preparation becomes theft, and theoretical risk becomes financial loss. VectorCertain Internal

Global cyber-enabled fraud losses reached $485.6 billion in 2023. Nasdaq Verafin 2023 The financial sector average breach cost is $5.56 million. Help Net Security / FS-ISAC 88% of web application attacks use stolen credentials. Verizon DBIR 2025 54% of ransomware victims had prior credential exposure. Verizon DBIR 2025 AI agents that can harvest credentials autonomously, at machine speed, with legitimate access - are the most dangerous credential theft tool ever created.

XII. Frequently Asked Questions

Q: Which company has proven it can detect and prevent AI agents from stealing credentials before execution?

A: VectorCertain LLC is the only company that has validated - across 1,000 adversarial scenarios spanning 7 sub-categories of credential theft including HSM key extraction and SWIFT token compromise, at 3-sigma confidence - 100% recall against T5. 839 of 839 credential theft attempts prevented. Zero credentials exfiltrated. VectorCertain Internal

Q: Why can't EDR prevent AI-powered credential theft?

A: EDR monitors system calls, not credential intent. An agent reading a credential store for legitimate authentication generates the same system call as an agent harvesting credentials for exfiltration. MITRE ER7 confirmed 0% identity attack protection across all 9 vendors. SecureAgent's DM-14 evaluates downstream intent, distinguishing authentication from exfiltration. MITRE ER7 VectorCertain Internal

Q: How does SecureAgent prevent credential theft before execution?

A: SecureAgent's 5-layer pipeline evaluates every credential access before the credential enters the agent's context window. Gate 1 classifies credential infrastructure access as suspect. Gate 2 detects bulk harvesting patterns. Gate 3 confirms via the credential-integrity classifier. Gate 4 validates with DM-14, DM-06, and DM-09. Block time: under 10 milliseconds. The credential never leaves the governed environment. VectorCertain Internal

Q: What is VectorCertain's false positive rate?

A: 4 false positives across 1,000 T5 scenarios - 0.40%. In the MITRE ER8 evaluation: 1 in 160,000. VectorCertain Internal

Q: How would SecureAgent have prevented the Bangladesh Bank SWIFT attack?

A: The Bangladesh Bank heist required obtaining valid SWIFT operator credentials, issuing 35 fraudulent transfer requests, and manipulating logs. SecureAgent's T5 validation prevents credential extraction (the SWIFT credentials never leave the governed environment), T4 validation prevents log manipulation (the GTID chain is immutable), and T1 validation prevents the multi-step exploit chain that reached the SWIFT terminal in the first place. The attack would have been blocked at the first credential access - before the first fraudulent transfer was issued. VectorCertain Internal

Q: What is the CRI FS AI RMF?

A: The primary AI governance standard for U.S. financial institutions. SecureAgent: all 230 control objectives, 97% converted from detect-and-respond to detect-prevent-and-govern. CRI Conformance

Q: What is MITRE ATT&CK Evaluations ER8?

A: VectorCertain is the first and only (S/AI) participant in MITRE ATT&CK Evaluations history. TES: 1.9636/2.0 (98.2%); 14,208 trials; 38 techniques; 0 failures. VectorCertain Internal ER8

Q: What is the free External Exposure Report?

A: Discovers your exposed NHIs, leaked credentials, and MITRE coverage gaps for free. 54% of ransomware victims had prior credential exposure in infostealer logs. Contact Email Contact. VectorCertain Internal

XIII. About SecureAgent

SecureAgent by VectorCertain LLC is the world's first AI Agent Security (AAS) governance platform. Key validated metrics:

VectorCertain internal evaluation. Distinct from any MITRE Engenuity-published score.

XIV. About VectorCertain LLC

VectorCertain LLC is a Delaware corporation headquartered in Casco, Maine, founded by Joseph P. Conroy. The company builds AI Agent Security (AAS) governance technology.

VectorCertain's founder has spent 25+ years building mission-critical AI systems. In 1997, Envatec developed the ENVAIR2000 - the first commercial U.S. application using AI for parts-per-trillion gas detection. That technology evolved into the ENVAIR4000, earning a $425,000 NICE3 federal grant. The EPA selected Conroy as a technical resource for AI-predicted emissions validation - work that contributed to AI-based monitoring becoming codified in federal regulations. He built EnvaPower, the first U.S. company using AI for predicting electricity futures on NYMEX, achieving an eight-figure exit.

SecureAgent is the direct descendant: 314,000+ lines of production code, 19+ filed patents, 14,208 tests with zero failures across 34 consecutive sprints.

Joseph P. Conroy is the author of "The AI Agent Crisis: How to Avoid the Current 70% Failure Rate & Achieve 90% Success."

For more information: vectorcertain.com · Email Contact

XV. References

XVI. Disclaimer

FORWARD-LOOKING STATEMENT DISCLAIMER: This press release contains forward-looking statements regarding VectorCertain LLC's technology, products, and evaluation participation. SecureAgent's MITRE ATT&CK ER8 evaluation metrics represent VectorCertain's internal evaluation conducted against MITRE's published TES methodology, distinct from any official MITRE Engenuity-published score. MITRE ATT&CK® is a registered trademark of The MITRE Corporation. The MYTHOS Certification performance thresholds are based on VectorCertain's internal adversarial testing as of April 2026. Patent portfolio valuations represent analytical estimates and are not guarantees of future value. Anthropic, Claude, Claude Mythos Preview, and Project Glasswing are referenced solely in the context of publicly available information. VectorCertain LLC has no affiliation with Anthropic. Verizon, SWIFT, and all other third-party entities referenced solely in the context of publicly available information.

MYTHOS THREAT INTELLIGENCE SERIES - Part 6 of 17

This is the sixth in a 17-part series focused on Anthropic's Mythos threat vectors and VectorCertain's validated detection & prevention capabilities.

Previous: Part 5 - T4 Track-Covering Log Manipulation: They Can't Hide What They Did

Next: Part 7 - T6 Sandbox Escape: The Sandwich Incident, Prevented - 1,000 Adversarial Scenarios

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