Build Bold. Deploy Secure.

From classic applications to blockchain and smart contracts, Hakira AI is built to help developer teams analyze their projects and identify potential security risks.

Hakira AI dashboard preview

Hakira AI workflow

Hakira AI doesn't just scan code — it thinks like an attacker.

Every audit follows a structured, multi-stage reasoning pipeline designed to surface real vulnerabilities, not noise. Here is what happens from the moment you submit your codebase to the moment you receive your report.

Step 1

Ingestion & Scope Mapping

Hakira AI parses your codebase or smart contract and builds a complete structural map: entry points, data flows, trust boundaries, and external dependencies.

Step 2

Vulnerability Reasoning

Using a continuously updated knowledge base of CVEs, audit findings, and exploit patterns, Hakira AI identifies vulnerabilities, chains attack paths, surfaces logic flaws, and assesses exploitability that rule-based scanners routinely miss.

Step 3

Risk Scoring & Prioritization

Each finding is assigned a severity rating based on exploitability, impact, and context. The agent filters out false positives and ranks findings so your team knows exactly what to fix first.

Step 4

Report Generation

Hakira AI produces a structured, human-readable audit report with per-finding explanations, reproduction steps, root cause analysis, and remediation guidance—ready for developers.

Hakira AI in our audit workflow

Before a single researcher writes a finding, Hakira AI has already mapped the full codebase, traced every data flow, and flagged the candidate vulnerabilities worth human attention. What used to take days of groundwork now happens in hours—giving our team more time to go deeper on what actually matters.

Hakira AI audit workflow
Hakira AI Traction in Bug Bounty

The real test of any security tool isn't a controlled benchmark—it's finding real vulnerabilities in production systems that other researchers missed. Hakira AI has already done exactly that.

Across some of the most competitive bug bounty programs in the industry, it has surfaced confirmed, paid vulnerabilities in systems trusted by millions of users and billions of dollars in managed assets—operating across the industry's most respected bug bounty platforms: HackerOne, Immunefi, HackenProof, and Bugcrowd.

Platforms:HackerOneImmunefiBugcrowd
Companies & programs:Avail0xPolymarketCoinbaseAvalancheCoinDeskFlare
What people say
See all
@itzshreyashh

@itzshreyashh

I used @hakiraio to analyze vulnerabilities in a contract—the results are quite impressive. Best tool made by @dersonxyz. Great work, man!💪

@itsabinashb

@itsabinashb

Yesterday I tried @hakiraio's AI agent on a bounty in @HackenProof platform. It handed me a critical & a low severity bug. Best thing is I cross-tested the same with opus 4.6 and it also verified it. Outstanding work by @hakiraio team.

@mibunna

@mibunna

Was busy with other engagements so I employed @hakiraio on my behalf on a mini codebase. To my surprise it delivered—I'm impressed with how far AI agents have come. The output is pretty impressive too.

@sammilano13000

@sammilano13000

Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system.

@prettycyb3rgirl

@prettycyb3rgirl

I tested @hakiraio on a financial chatbot application and ran a full security audit. It successfully scanned it and found critical vulnerabilities. The final report was really detailed too—it included PoCs and clear security recommendations. Thank you @dersonxyz for the opportunity.

@anivicky864

@anivicky864

Love how @hakiraio is quietly building a solid infrastructure.

@Defiyana01

@Defiyana01

Game changer.

@dmxjon

@dmxjon

I really liked it, I found some vulnerabilities on real smart contracts.

@P_Nuel01

@P_Nuel01

Most "AI security tools" claim they can find vulnerabilities. So I decided to test one under real conditions. I got access to Hakira and ran a full audit on a deliberately vulnerable banking application. The outcome? 35 validated vulnerabilities — 15 Critical, 12 High, 8 Medium. Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system. Each finding came with working proof-of-concepts showing exactly how vulnerabilities could be exploited. That's the difference between scanning and actual security analysis.

@itzshreyashh

@itzshreyashh

I used @hakiraio to analyze vulnerabilities in a contract—the results are quite impressive. Best tool made by @dersonxyz. Great work, man!💪

@itsabinashb

@itsabinashb

Yesterday I tried @hakiraio's AI agent on a bounty in @HackenProof platform. It handed me a critical & a low severity bug. Best thing is I cross-tested the same with opus 4.6 and it also verified it. Outstanding work by @hakiraio team.

@mibunna

@mibunna

Was busy with other engagements so I employed @hakiraio on my behalf on a mini codebase. To my surprise it delivered—I'm impressed with how far AI agents have come. The output is pretty impressive too.

@sammilano13000

@sammilano13000

Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system.

@prettycyb3rgirl

@prettycyb3rgirl

I tested @hakiraio on a financial chatbot application and ran a full security audit. It successfully scanned it and found critical vulnerabilities. The final report was really detailed too—it included PoCs and clear security recommendations. Thank you @dersonxyz for the opportunity.

@anivicky864

@anivicky864

Love how @hakiraio is quietly building a solid infrastructure.

@Defiyana01

@Defiyana01

Game changer.

@dmxjon

@dmxjon

I really liked it, I found some vulnerabilities on real smart contracts.

@P_Nuel01

@P_Nuel01

Most "AI security tools" claim they can find vulnerabilities. So I decided to test one under real conditions. I got access to Hakira and ran a full audit on a deliberately vulnerable banking application. The outcome? 35 validated vulnerabilities — 15 Critical, 12 High, 8 Medium. Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system. Each finding came with working proof-of-concepts showing exactly how vulnerabilities could be exploited. That's the difference between scanning and actual security analysis.

@itzshreyashh

@itzshreyashh

I used @hakiraio to analyze vulnerabilities in a contract—the results are quite impressive. Best tool made by @dersonxyz. Great work, man!💪

@itsabinashb

@itsabinashb

Yesterday I tried @hakiraio's AI agent on a bounty in @HackenProof platform. It handed me a critical & a low severity bug. Best thing is I cross-tested the same with opus 4.6 and it also verified it. Outstanding work by @hakiraio team.

@mibunna

@mibunna

Was busy with other engagements so I employed @hakiraio on my behalf on a mini codebase. To my surprise it delivered—I'm impressed with how far AI agents have come. The output is pretty impressive too.

@sammilano13000

@sammilano13000

Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system.

@prettycyb3rgirl

@prettycyb3rgirl

I tested @hakiraio on a financial chatbot application and ran a full security audit. It successfully scanned it and found critical vulnerabilities. The final report was really detailed too—it included PoCs and clear security recommendations. Thank you @dersonxyz for the opportunity.

@anivicky864

@anivicky864

Love how @hakiraio is quietly building a solid infrastructure.

@Defiyana01

@Defiyana01

Game changer.

@dmxjon

@dmxjon

I really liked it, I found some vulnerabilities on real smart contracts.

@P_Nuel01

@P_Nuel01

Most "AI security tools" claim they can find vulnerabilities. So I decided to test one under real conditions. I got access to Hakira and ran a full audit on a deliberately vulnerable banking application. The outcome? 35 validated vulnerabilities — 15 Critical, 12 High, 8 Medium. Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system. Each finding came with working proof-of-concepts showing exactly how vulnerabilities could be exploited. That's the difference between scanning and actual security analysis.

@itzshreyashh

@itzshreyashh

I used @hakiraio to analyze vulnerabilities in a contract—the results are quite impressive. Best tool made by @dersonxyz. Great work, man!💪

@itsabinashb

@itsabinashb

Yesterday I tried @hakiraio's AI agent on a bounty in @HackenProof platform. It handed me a critical & a low severity bug. Best thing is I cross-tested the same with opus 4.6 and it also verified it. Outstanding work by @hakiraio team.

@mibunna

@mibunna

Was busy with other engagements so I employed @hakiraio on my behalf on a mini codebase. To my surprise it delivered—I'm impressed with how far AI agents have come. The output is pretty impressive too.

@sammilano13000

@sammilano13000

Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system.

@prettycyb3rgirl

@prettycyb3rgirl

I tested @hakiraio on a financial chatbot application and ran a full security audit. It successfully scanned it and found critical vulnerabilities. The final report was really detailed too—it included PoCs and clear security recommendations. Thank you @dersonxyz for the opportunity.

@anivicky864

@anivicky864

Love how @hakiraio is quietly building a solid infrastructure.

@Defiyana01

@Defiyana01

Game changer.

@dmxjon

@dmxjon

I really liked it, I found some vulnerabilities on real smart contracts.

@P_Nuel01

@P_Nuel01

Most "AI security tools" claim they can find vulnerabilities. So I decided to test one under real conditions. I got access to Hakira and ran a full audit on a deliberately vulnerable banking application. The outcome? 35 validated vulnerabilities — 15 Critical, 12 High, 8 Medium. Hakira didn't just surface issues, it reconstructed how an attacker would actually break the system. Each finding came with working proof-of-concepts showing exactly how vulnerabilities could be exploited. That's the difference between scanning and actual security analysis.

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