"The Agentic Cloud gives your business speed; AI Governance gives it safety. AchillesAi Security provides the GRC Engineering that bridges the two—automating⚔️.
"On-chain security is broken. AI agents can find vulnerabilities in milliseconds, but storing thousands of high-frequency threat signals on L1/L2 causes massive state bloat—and Web2 databases can be easily tampered with to hide an attacker's tracks.For the @arkivnetwork Ideathon
By leveraging Arkiv's native TTLs and SQL-like indexing, protocols can query active threat signals instantly to trigger automated circuit breakers, without paying for forever-storage. Scaling agentic security requires tamper-proof ephemeral data.
Recent AI Agent Hacks That Should Terrify You:
- Chevrolet dealership chatbot tricked into selling cars for $1
- Air Canada's agent made up refund policies (company held liable)
- Multiple LangChain RCE vulnerabilities.
- AutoGPT jailbreaks enabling infinite malicious loops
My background: Blockchain development → AI security & GRC
Why that matters: Blockchain taught me trustless systems, immutable audit trails, and adversarial thinking.
Agentic AI needs ALL of these. But almost no one is building them with security-first mindset.
💥💥 Transparency
🏮Endeavour to log all actions and decisions
🏮Make decisions path traceable
🏮You should disclose limitations and risks to users to avoid loss of trust
🏮Use human-in-the-loop for high stakes actions.
"If an Agentic Ai makes a mistake, who is responsible? And how transparent should these systems be?🤔🤔
🏮 It always falls on the human or organisation that built, deploys it operates it and not the AI itself.
#AgenticAI#AIethics
💥How To Avoid Such Disaster. A thread 🧵
💥 Responsibility and Accountability
🏮The developer should ensure safe design.
🏮The operator must monitor his deployment carefully
🏮The organisation should be legally liable