
Securing autonomy @UltraSecurityHQ / fmr VP Product @TrustVanta / Founder @trustpage (acq Vanta), @Ambassador (acq West), @Fetchnotes (acq Drift)
Detroit, MI
Joined January 2010
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Ultra is out of stealth! 👋
I started Ultra because I believe in the power of AI and what it can do with agents to create abundance and a positive future for humanity. At the same time, the news is mostly about what's gone wrong with AI or how it will end the world.
At Ultra we're building the infrastructure needed to create a secure future where we get to reap all the benefits of AI without worrying about the robot folding our clothes stabbing us in the back or the agent on our laptop deleting important data.
This team has been together less than a year and already it's the strongest I've been a part of, and it shows with what we've built. We went from a few ideas to a platform people and their businesses rely on every day.
I couldn't be more excited to get Ultra in more people's hands.
A huge thank you to all of our investors, friends, customers, and supporters who've helped along the way.
Hello World 👋
Ultra Security is out of stealth with $10M in seed funding to secure autonomous systems.
Ultra puts enforceable boundaries around autonomous systems without slowing down the work they're built to do. We've built guardrails, governance, observability, and anomaly detection in one platform.
Agents aren't predictable. Security should be.
Spot on
I think many of us working in tech tend to forget that the reason software engineering vs other engineering fields pays (a lot!) more, is a lot more flexible (WFH/remote), and has better perks:
Because this field changes much faster than other engineering fields. The premium is because fewer people are able/willing to pick up new technologies, methodologies so quickly.
But the field had ~10-20 years of stability, and so lots of folks forgot this is why a premium exists. And that AI is just another tech wave: software engineers who pick it up and master it will generally fare better; those not will struggle a lot more.
Speed is incredibly useful in offensive cybersecurity. The level of capability now available at speed is making models extremely effective. This is going to get worse before it gets better, but we can and we will solve it.
We found DeepSeek V4.1 Flash 1017 beats GPT 6 Sol on our multi-step offensive cybersecurity task. Sol was tested via the Daybreak trusted access program.
We have been building a cybersecurity benchmark based on simulated corporate networks. This is a valuable indicator for the cyber-risk a model poses if in the hands of a bad actor. We plan to make the full evaluation public in the coming weeks but wanted to share our first immediate finding here.
Everyone is saying it
The internet is having a very bad cybersecurity day techcrunch.com/2026/10/21/th…
Not a bad day for a cybersecurity company to exit stealth. But also a really bad day.
Effective Immediately, all organizations using PHP for their systems are advised to be prepared for an update addressing two critical vulnerabilities. PHP is widely used for web applications. These vulnerabilities often provide a direct path to the server's file system or database. If an immediate update is not feasible, it is recommend that organizations take the system offline until it can be fully mitigated. NSA will follow up shortly with more specific guidance.
+1. Every harness needs to implement this anyway if they want to support users having 100s of tools. Cost of entry to be a modern harness.
there's a nascent trend of hiding MCP tools behind two generic tools: search & execute.
i don't think it's a good default. this basically means implementing tool search & code mode on each MCP server.
but clients like codex already have tool search & code mode that a/ work across all MCP servers and b/ we train our models to be great at!
why make every MCP server build that layer and then make the model navigate both, including a custom one on each MCP server that it isn't trained to be great at?!
expose your actual tools and let clients* find and compose them.
*clients that support tool search & code mode like ChatGPT and Codex
Chase Lee retweeted
Finally found the login for the Carpool channel.
We’re back!
Andddd… we’re announcing Fund 6.
Nathan has always made great things and this is no exception. Been using for a while and it’s become a core component of my daily work.
Introducing Roughdraft!
A new open source project designed to make collaboration with agents better.
The idea is to bring commenting and suggested changes to markdown (e.g. plan docs) in a nice interface.
Free, local, etc.
👉 roughdraft.md 👈
We haven’t considered reports and certs from Delve valid for several months. Meaning, if you used them to get a SOC 2 report, we do not look at you as having one. And if you got a 27001 cert, recertifications don’t count. You need to start the process over.
There’s been a lot of allegations against Delve.
But we haven’t been able to share our side of the story until today due to ongoing cybersecurity and forensics investigations.
Maintaining customer trust is central to everything we do.
That said, we grew too fast and fell short of our own standard. To our customers, we deeply apologize for the inconveniences caused.
We take these allegations seriously and have made changes: a new auditor network, free re-audits and pentests for all customers, enhanced transparency in audit communications, and more.
However, we also want to set the record straight on the anonymous attacks.
The evidence we have points to a targeted cyberattack from a malicious actor, not a “whistleblower.”
We believe the attacker purchased Delve under false pretenses, exfiltrated internal company data, and used it to launch a coordinated smear campaign.
The posts rely on a mix of fabricated claims, cherry-picked screenshots, and stolen data taken out of context.
See the link in the comments for more details.
Delve was built to modernize compliance. We are not going anywhere and are committed to building what's next.
Chase Lee retweeted
Delve, a YC-backed compliance startup that raised $32 million, has been accused of systematically faking SOC 2, ISO 27001, HIPAA, and GDPR compliance reports for hundreds of clients. According to a detailed Substack investigation by DeepDelver, a leaked Google spreadsheet containing links to hundreds of confidential draft audit reports revealed that Delve generates auditor conclusions before any auditor reviews evidence, uses the same template across 99.8% of reports, and relies on Indian certification mills operating through empty US shells instead of the "US-based CPA firms" they advertise. Here's the breakdown:
> 493 out of 494 leaked SOC 2 reports allegedly contain identical boilerplate text, including the same grammatical errors and nonsensical sentences, with only a company name, logo, org chart, and signature swapped in
> Auditor conclusions and test procedures are reportedly pre-written in draft reports before clients even provide their company description, which would violate AICPA independence rules requiring auditors to independently design tests and form conclusions
> All 259 Type II reports claim zero security incidents, zero personnel changes, zero customer terminations, and zero cyber incidents during the observation period, with identical "unable to test" conclusions across every client
> Delve's "US-based auditors" are actually Accorp and Gradient, described as Indian certification mills operating through US shell entities. 99%+ of clients reportedly went through one of these two firms over the past 6 months
> The platform allegedly publishes fully populated trust pages claiming vulnerability scanning, pentesting, and data recovery simulations before any compliance work has been done
> Delve pre-fabricates board meeting minutes, risk assessments, security incident simulations, and employee evidence that clients can adopt with a single click, according to the author
> Most "integrations" are just containers for manual screenshots with no actual API connections. The author describes the platform as a "SOC 2 template pack with a thin SaaS wrapper"
> When the leak was exposed, CEO Karun Kaushik emailed clients calling the allegations "falsified claims" from an "AI-generated email" and stated no sensitive data was accessed, while the reports themselves contained private signatures and confidential architecture diagrams
> Companies relying on these reports could face criminal liability under HIPAA and fines up to 4% of global revenue under GDPR for compliance violations they believed were resolved
> When clients threaten to leave, Delve reportedly pairs them with an external vCISO for manual off-platform work, which the author argues proves their own platform can't deliver real compliance
> Delve's sales price dropped from $15,000 to $6,000 with ISO 27001 and a penetration test thrown in when a client mentioned considering a competitor
A detailed and brutal look at the tactics of buzzy AI compliance startup Delve
"Delve built a machine designed to make clients complicit without their knowledge, to manufacture plausible deniability while producing exactly the opposite."
substack.com/home/post/p-191…
Clawdbot is a live case study of what happens when agents meet our current security stack.
Exposed instances. Prompt injection via email. Credential leaks. One-click RCE. 170k+ stars, massively viral, and a security model that can't keep up.
Today I'm back to being a founder, heads down with a team building the answer.
I've been calling this space autonomous runtime security: real-time intelligence and enforcement for systems that act on their own.



















