Enterprise boards want Agentic AI. Security teams are blocking it. Unblock your AI deployment with automated posture validation logged directly to a tamper-proof distributed ledger, backed by a parametric cyber warranty for zero-day protection.
Modern Zero Trust relies on human and device identity. When an AI agent executes a task, traditional security fails to cryptographically scope what that process can access. Excel sheets and manual GRC reports will not survive a technical audit or stop a rogue AI agent.
Zero Trust authenticates humans and devices. An autonomous process has neither — so its blast radius is inferred, never cryptographically enforced.
Spreadsheets and manual GRC reports cannot survive a technical audit. Screenshots are not attestations, and auditors increasingly refuse them.
A compromised agent executes in milliseconds. Quarterly control reviews and annual questionnaires detect it long after the data is gone.
One platform closes the loop from runtime restriction to auditor evidence to financial cover — no questionnaire in the loop.
Continuous threat exposure management using digital twin sandboxes. We mathematically restrict what an AI agent can execute or exfiltrate before it hits the network wire.
Posture validation and control effectiveness are logged directly to the Hedera Hiero distributed ledger. Hand your auditors cryptographic, runtime evidence of ISO 42001 and DPDP Act compliance.
You cannot insure an AI agent if you cannot prove what it is doing. Because we maintain cryptographic proof of your security posture, we attach smart-contract-driven cyber warranties that trigger instant SLA remediation and financial cover during zero-day events.
Do not rely on siloed spreadsheets for different global regulations. ApexPhalanx provides the immutable ledger evidence required to map your AI agent's behavior directly to global standards.
Cryptographic access control and continuous AI governance — control effectiveness proven at runtime, not sampled annually.
Automated measurement and risk management across the AI lifecycle: Govern, Map, Measure, Manage — each mapped to anchored evidence.
Runtime logs built for high-risk incident reporting, transparency obligations and post-market monitoring of AI systems.
Frontier risk disclosure backed by immutable logs of agent behaviour, policy decisions and containment actions.
Model risk controls for federally regulated financial institutions — auditable override, monitoring and inventory records.
Data-access proof per agent process, so personal-data processing by AI agents is demonstrable on demand.
Deploying ApexPhalanx doesn't just check one box — it future-proofs your entire global AI footprint against incoming regulations. One evidence stream, mapped to every rulebook your auditors will ask about next.
From digital twin to ledger transaction to warranty trigger — the full path your auditors, your board and your insurer all verify the same way.
0:50 · runtime proof
AAAA query data-exfiltration block and cryptographic process scoping, captured from a live agent session.
Every posture snapshot is reduced to a Merkle root and written to a Hedera Hiero consensus topic. Anyone holding the transaction id can re-hash the payload and confirm nothing was altered — including your insurer and your regulator. No trust in ApexPhalanx required.
We are currently onboarding select enterprise design partners to automate their AI compliance and transfer their zero-day risk.
Continuous control checks run against your environment, each posture snapshot is reduced to a Merkle root, and the root is written to a Hedera Hiero consensus topic with a transaction id. Your auditor re-hashes the payload and confirms it matches the ledger — runtime evidence instead of a point-in-time questionnaire.
Because we hold cryptographic proof of your security posture, we attach a smart-contract-driven warranty to your coverage. When a verified zero-day event occurs, the contract triggers instant SLA remediation and financial cover — no months-long claims negotiation over disputed evidence.
No. Only hashes and Merkle roots go on-chain — PII, documents and evidence files stay in encrypted off-chain storage. Anyone can verify that a specific record existed at a specific time without ever seeing its contents.
One evidence stream maps to six rulebooks: ISO/IEC 27001 & 42001, NIST AI RMF, the EU AI Act, California SB 53, OSFI E-23 and India's DPDP Act — so new regulations reuse evidence you already collect instead of starting another spreadsheet.
We onboard a limited number of enterprise design partners: connect your environment, baseline your AI agent inventory and posture, then anchor your first verifiable snapshot — typically within days, not quarters.