This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Ethos Aegis
AI immune defenses for safer agents and security reviews
Ethos Aegis brings immune-inspired guardrails to AI agents and security review. Inspect risky inputs, normalize scoped evidence from five security tools, and explore threats in an interactive 4D board. Execution is opt-in; the visual demos are simulations.
Hi Product Hunt!
I’m Deonte Watts, the creator of Ethos Aegis.
I started building Ethos Aegis around a question:
What if artificial intelligence could defend itself using principles inspired by the human immune system?
Biological immune systems don’t rely on a single defense. Different cells identify threats, communicate signals, preserve memory, and respond through specialized mechanisms.
Ethos Aegis translates that idea into a developer-oriented AI security architecture.
The project includes specialized defense components for input inspection, suspicious instruction detection, Unicode normalization, signature memory, and threat adjudication.
It also brings five established security tools into a unified evidence-review workflow:
TruffleHog: Credential-exposure evidence.
Sherlock: Username-exposure observations.
Ghidra: Static binary-analysis summaries.
mitmproxy: Application-network observations.
ESP32 Marauder: Operator-controlled wireless laboratory evidence.
These integrations use explicit scope controls. External tool execution is not automatically enabled, and imported observations are not treated as independently verified vulnerabilities.
The project also includes an interactive 4D threat-visualization board and recorded walkthroughs demonstrating the AI immune pipeline, security-evidence handling, and VeriFlow reasoning.
The visual board is a simulation, while recorded walkthroughs use labeled synthetic inputs and actual local program output.
I’m sharing Ethos Aegis with developers, security researchers, and AI builders who want to explore more transparent, evidence-driven security architectures.
I’d especially appreciate feedback on the developer experience, security boundaries, and which integrations would be most useful next.
Thanks for exploring Ethos Aegis!
— Deonte Watts
About Ethos Aegis on Product Hunt
“AI immune defenses for safer agents and security reviews”
Ethos Aegis was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #153 on the daily leaderboard. Ethos Aegis brings immune-inspired guardrails to AI agents and security review. Inspect risky inputs, normalize scoped evidence from five security tools, and explore threats in an interactive 4D board. Execution is opt-in; the visual demos are simulations.
On the analytics side, Ethos Aegis competes within Developer Tools, Artificial Intelligence, GitHub and Security — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Ethos Aegis performed against the three products that launched closest to it on the same day.
Who hunted Ethos Aegis?
Ethos Aegis was hunted by Deonte Watts. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Ethos Aegis including community comment highlights and product details, visit the product overview.
Deonte Watts