The full gallery
Tech stack
60 projects
Convert CVE data into machine-readable risk signals for AI agents and automation.
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
Scan crypto tokens for risk analysis using AI-powered detection from screenshots.
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]
Analyzes agency meeting transcripts to detect scope creep risks and generate alerts.
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
Security scanner that detects vulnerabilities in AI-generated code repositories.
@GetPrbl · X
Upload code to automatically scan for security vulnerabilities.
@POONAMSING9999 · X
Forget this fight. The problem in AI is vibe coding security risk so i made vibe Guard ai that analysis user code and found out security risks. For the sake of humanity, to solve a painful problem I made this It had free version try now
Scoply turns agency client meeting transcripts and scope baselines into risk flags, scope-change alerts, and protection-ready follow-ups
@theshaunak_twit · X
Visualize trends in CVE counts and severity since 2020, broken down by reporting organizations.
u/Secret_Appeal6271 · Reddit
Agents are more capable, and susceptible to exploits, than ever. We're working to stop this from hurting users. AI agents are starting to get real access like GitHub tokens, cloud credentials, customer data, deploy permissions. Not coincidentally, the rate of major cybersecurity incidents is rising rapidly. See for yourself: https://epoch.ai/data/cve?view=graph https://genai.owasp.org/resource/state-of-agentic-ai-security-and-governance/ My friend and I, both AI researchers, are working o
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams
Scan AI prompts and endpoints for vulnerabilities, then monitor LLMs in production for security and compliance.
@CognisafeUK · X
Find exposures in your external attack surface before intruders exploit them.
@OGVeilScan · X
Audit and optimize your local business visibility across ChatGPT, Perplexity, and Claude.
@Timemindai · X
