
Cross-model verification, with receipts, applied where a wrong output is expensive.
Cross-model verification, with receipts, applied where a wrong output is expensive.
With 10 years in AppSec and OffSec, I build security for production services and cyber defense that works under real pressure. I turn offensive findings into controls operators can run, with compliance solutions and consulting that stand up to scrutiny. Today's threats have no one-size-fits-all answer; the work starts with your systems, your exposure, and the cost of failure.
With 10 years in AppSec and OffSec, I build security for production services and cyber defense that works under real pressure. I turn offensive findings into controls operators can run, with compliance solutions and consulting that stand up to scrutiny. Today's threats have no one-size-fits-all answer; the work starts with your systems, your exposure, and the cost of failure.
You receive a deployment a risk function can sign: what the system may do alone, what gets checked before it acts, and what remains human — all in writing. I design containment first, then migrate production workflows to frontier AI only when the boundaries, evidence, and operators are ready. Legacy workflows are verified before AI is trusted with security or OPSEC decisions. I stay with your team until the controls hold.
You receive a deployment a risk function can sign: what the system may do alone, what gets checked before it acts, and what remains human — all in writing. I design containment first, then migrate production workflows to frontier AI only when the boundaries, evidence, and operators are ready. Legacy workflows are verified before AI is trusted with security or OPSEC decisions. I stay with your team until the controls hold.
You receive receipts, per output: the answer that survived, a confidence score, and a disagreement map. I verify AI outputs in bulk before they reach decisions, so people act on what was checked, not on what was fluent. For the moment someone asks who checked this, and the honest answer is a sampling rate.
You receive receipts, per output: the answer that survived, a confidence score, and a disagreement map. I verify AI outputs in bulk before they reach decisions, so people act on what was checked, not on what was fluent. For the moment someone asks who checked this, and the honest answer is a sampling rate.
Every assistant your organization runs is quietly accumulating memory — and almost nobody governs what gets in. Memory poisoning is now ranked the #1 threat to agentic AI systems: one planted "fact" and every downstream decision inherits it. Retrieval is not the hard problem. Custody is. Verdict Memory is a custody system for machine memory — one isolated instance per organization, run like a court, not a cache.
Every assistant your organization runs is quietly accumulating memory — and almost nobody governs what gets in. Memory poisoning is now ranked the #1 threat to agentic AI systems: one planted "fact" and every downstream decision inherits it. Retrieval is not the hard problem. Custody is. Verdict Memory is a custody system for machine memory — one isolated instance per organization, run like a court, not a cache.
1 · Attributed writes — every memory carries the exact assistant, credential, and session that wrote it. Server-stamped, never self-declared.
2 · Quarantine by default — an untrusted writer's memories are held invisible to every other assistant until someone with authority rules on them.
1 · Attributed writes — every memory carries the exact assistant, credential, and session that wrote it. Server-stamped, never self-declared.
2 · Quarantine by default — an untrusted writer's memories are held invisible to every other assistant until someone with authority rules on them.
3 · Adjudication with reasons — one designated judge per instance accepts, rejects, or salvages, and the reason is recorded. Capability is not authority.
4 · Supersede, never overwrite — when facts change, the old fact stays linked to what replaced it and why. Your audit trail reads like a ledger, because it is one.
3 · Adjudication with reasons — one designated judge per instance accepts, rejects, or salvages, and the reason is recorded. Capability is not authority.
4 · Supersede, never overwrite — when facts change, the old fact stays linked to what replaced it and why. Your audit trail reads like a ledger, because it is one.
Every mutation is logged and session-attributed — the kind of activity record your compliance and security teams are already being asked to produce for AI systems. One instance per client. No shared tables. No silent overwrites. And your assistants connect in minutes with a URL, not an integration project.
Every mutation is logged and session-attributed — the kind of activity record your compliance and security teams are already being asked to produce for AI systems. One instance per client. No shared tables. No silent overwrites. And your assistants connect in minutes with a URL, not an integration project.
The headline is the method, and it applies to me too: nothing I hand a client rests on one model's opinion. Every claim is challenged by a rival frontier model in an adversarial debate: models from Anthropic and OpenAI on opposite sides, with a judge weighing the exchange. What survives ships with its confidence score and its disagreement map. What does not survive is said out loud.
The headline is the method, and it applies to me too: nothing I hand a client rests on one model's opinion. Every claim is challenged by a rival frontier model in an adversarial debate: models from Anthropic and OpenAI on opposite sides, with a judge weighing the exchange. What survives ships with its confidence score and its disagreement map. What does not survive is said out loud.
The same discipline extends to memory: in Verdict-governed deployments, Verdict adjudicates what enters long-term memory — capability is not authority. I have not seen memory custody and cross-model verification brought together with this level of attribution and review. The full architecture, evidence, and limitations will be disclosed at the official launch.
The same discipline extends to memory: in Verdict-governed deployments, Verdict adjudicates what enters long-term memory — capability is not authority. I have not seen memory custody and cross-model verification brought together with this level of attribution and review. The full architecture, evidence, and limitations will be disclosed at the official launch.
I mostly work from my own space, on my own terms, in a way that benefits everyone involved. I began volunteering as a first responder in 2021 and have been on call 24/7 since 2022. Since 2024, I have lectured on rehabilitation inside prisons and other high-risk facilities. I also started a nonprofit project that produces measurable community results, not feel-good headlines.
This is not about chasing money, likes, or titles. I design and run battle-tested pipelines, or make the changes that deliver consistent, scalable results. If you are serious about outcomes, you will recognize the difference.
If your AI outputs feed decisions that are expensive to get wrong, tell me what they feed and what a wrong one costs. You will hear from the person who does the work.
I mostly work from my own space, on my own terms, in a way that benefits everyone involved. I began volunteering as a first responder in 2021 and have been on call 24/7 since 2022. Since 2024, I have lectured on rehabilitation inside prisons and other high-risk facilities. I also started a nonprofit project that produces measurable community results, not feel-good headlines.
This is not about chasing money, likes, or titles. I design and run battle-tested pipelines, or make the changes that deliver consistent, scalable results. If you are serious about outcomes, you will recognize the difference.
If your AI outputs feed decisions that are expensive to get wrong, tell me what they feed and what a wrong one costs. You will hear from the person who does the work.
Verdict is an independent practice. Anthropic and OpenAI are not affiliated with and do not endorse Verdict.
Based in Israel — Global solutions*
Service provider registration with Israel's Ministry of Defense is in progress.
*No trade under any circumstances: Iran, Lebanon, Syria, Iraq, and Yemen.
No trade without special approval: Libya and Saudi Arabia.
FATF blacklist - no trade without special approval: North Korea and Myanmar (Burma).
Highly restricted trade: Transactions involving Algeria, Afghanistan, Bangladesh, Kuwait, Malaysia, Pakistan, Qatar, Cuba, Sudan, Indonesia, Niger, Mali, Brunei, the Maldives, the Comoros, Djibouti, Mauritania, Somalia, Tunisia, and Oman require special approval and a transaction-specific license.
Verdict is an independent practice. Anthropic and OpenAI are not affiliated with and do not endorse Verdict.
Based in Israel — Global solutions*
Service provider registration with Israel's Ministry of Defense is in progress.
*No trade under any circumstances: Iran, Lebanon, Syria, Iraq, and Yemen.
No trade without special approval: Libya and Saudi Arabia.
FATF blacklist - no trade without special approval: North Korea and Myanmar (Burma).
Highly restricted trade: Transactions involving Algeria, Afghanistan, Bangladesh, Kuwait, Malaysia, Pakistan, Qatar, Cuba, Sudan, Indonesia, Niger, Mali, Brunei, the Maldives, the Comoros, Djibouti, Mauritania, Somalia, Tunisia, and Oman require special approval and a transaction-specific license.