The post Savant Chat Achieves a Historic Top 6 Ranking in the Sherlock DeFi Audit Contest appeared on BitcoinEthereumNews.com. Savant Chat, a top-tier AI agent for smart contracts audits,  announced a groundbreaking achievement that signals a paradigm shift in Web3 security. It has secured 6th place in a public Sherlock contest, competing directly against dozens of expert human auditors. This landmark event marks the first time an AI has publicly demonstrated performance on par with expert human auditors in a fiercely competitive environment, fundamentally reshaping the future of decentralized finance security. Breaking through human-optimized barriers The achievement is particularly notable given that audit contests are inherently designed for human participants. According to professional auditors, the most challenging aspect of these competitions isn’t finding bugs – it’s proving they’re true positives during the judging phase. Human auditors compete intensely, with success heavily reliant on describing findings in a manner that withstands rigorous judging. A true positive finding, if presented with inaccuracies or insufficient detail by either an AI or a human, is highly likely to be rejected during the judging phase. Despite these significant challenges, Savant Chat (Pro plan, an early glimpse of June 2025 technology) excelled. Adding to the significance, the Symbiotic contract contest, on which Savant Chat was tested, featured no critical or high-severity vulnerabilities – a domain where Savant is primarily optimized to excel. Medium-severity findings are typically identified by AI agents sometimes and by residual principle. Yet, the AI’s ability to secure a top position in a contest focused on less severe issues speaks volumes about its sophisticated analytical capabilities and adaptability. Savant’s operational methodology involved deep analysis, generating threat vectors, and forming complex vulnerability hypotheses. For the crucial final step – writing Proof-of-Concept (PoC) code to validate findings and eliminate noise – Savant Chat’s team strategically delegated this task to a best-in-class open-source SWE agent. This approach ensured maximum signal from Savant’s core insights, while… The post Savant Chat Achieves a Historic Top 6 Ranking in the Sherlock DeFi Audit Contest appeared on BitcoinEthereumNews.com. Savant Chat, a top-tier AI agent for smart contracts audits,  announced a groundbreaking achievement that signals a paradigm shift in Web3 security. It has secured 6th place in a public Sherlock contest, competing directly against dozens of expert human auditors. This landmark event marks the first time an AI has publicly demonstrated performance on par with expert human auditors in a fiercely competitive environment, fundamentally reshaping the future of decentralized finance security. Breaking through human-optimized barriers The achievement is particularly notable given that audit contests are inherently designed for human participants. According to professional auditors, the most challenging aspect of these competitions isn’t finding bugs – it’s proving they’re true positives during the judging phase. Human auditors compete intensely, with success heavily reliant on describing findings in a manner that withstands rigorous judging. A true positive finding, if presented with inaccuracies or insufficient detail by either an AI or a human, is highly likely to be rejected during the judging phase. Despite these significant challenges, Savant Chat (Pro plan, an early glimpse of June 2025 technology) excelled. Adding to the significance, the Symbiotic contract contest, on which Savant Chat was tested, featured no critical or high-severity vulnerabilities – a domain where Savant is primarily optimized to excel. Medium-severity findings are typically identified by AI agents sometimes and by residual principle. Yet, the AI’s ability to secure a top position in a contest focused on less severe issues speaks volumes about its sophisticated analytical capabilities and adaptability. Savant’s operational methodology involved deep analysis, generating threat vectors, and forming complex vulnerability hypotheses. For the crucial final step – writing Proof-of-Concept (PoC) code to validate findings and eliminate noise – Savant Chat’s team strategically delegated this task to a best-in-class open-source SWE agent. This approach ensured maximum signal from Savant’s core insights, while…

Savant Chat Achieves a Historic Top 6 Ranking in the Sherlock DeFi Audit Contest

Savant Chat, a top-tier AI agent for smart contracts audits,  announced a groundbreaking achievement that signals a paradigm shift in Web3 security. It has secured 6th place in a public Sherlock contest, competing directly against dozens of expert human auditors. This landmark event marks the first time an AI has publicly demonstrated performance on par with expert human auditors in a fiercely competitive environment, fundamentally reshaping the future of decentralized finance security.

Breaking through human-optimized barriers

The achievement is particularly notable given that audit contests are inherently designed for human participants. According to professional auditors, the most challenging aspect of these competitions isn’t finding bugs – it’s proving they’re true positives during the judging phase. Human auditors compete intensely, with success heavily reliant on describing findings in a manner that withstands rigorous judging. A true positive finding, if presented with inaccuracies or insufficient detail by either an AI or a human, is highly likely to be rejected during the judging phase. Despite these significant challenges, Savant Chat (Pro plan, an early glimpse of June 2025 technology) excelled.

Adding to the significance, the Symbiotic contract contest, on which Savant Chat was tested, featured no critical or high-severity vulnerabilities – a domain where Savant is primarily optimized to excel. Medium-severity findings are typically identified by AI agents sometimes and by residual principle. Yet, the AI’s ability to secure a top position in a contest focused on less severe issues speaks volumes about its sophisticated analytical capabilities and adaptability.

Savant’s operational methodology involved deep analysis, generating threat vectors, and forming complex vulnerability hypotheses. For the crucial final step – writing Proof-of-Concept (PoC) code to validate findings and eliminate noise – Savant Chat’s team strategically delegated this task to a best-in-class open-source SWE agent. This approach ensured maximum signal from Savant’s core insights, while efficiently validating the findings.

Revolutionizing the economics of security auditing

The economic implications are profound. In traditional audit contests, hypothesis generation consumes approximately 85% of resources, while verification requires only 5%. While AI generates marginally more noise than average human auditors—measured in multiples rather than orders of magnitude – the cost of AI-powered hypothesis generation is orders of magnitude lower. “We’re seeing clear evidence that AI-powered hypothesis generation combined with human verification represents an effective and economically viable business model,” the team explained. “This isn’t about cutting costs – it’s about enabling more comprehensive security coverage across the entire Web3 ecosystem.”

The future: cyborg auditors, not replacement

It’s essential to acknowledge that AI, although powerful, still has limitations and performs less effectively than humans in identifying specific types of errors. However, SavantChat’s AI offers a distinct and invaluable advantage: its point of view on bugs differs significantly from that of human auditors. This unique perspective enables AI to identify vulnerabilities that human experts might inadvertently overlook.

It has been revealed that 80% of zero-day exploits submitted to the Savant team were successfully identified and mitigated by SavantChat. This highlights a critical, complementary capability, demonstrating that had these vulnerabilities been run through SavantChat, the vast majority of associated hacks could have been prevented. This positions AI not as a replacement, but as an essential enhancement to existing security measures.

The future of Web3 security is not just arriving; it’s accelerating faster than ever before.

About

Savant.chat is an AI-powered smart-contract security platform that automatically audits Solidity code—finding vulnerabilities,  integrating with CI/CD for continuous checks and real-time monitoring for developers, audit firms, and enterprises.

Tested on hundreds of real-world exploits. Savant Chat is game-changing platform instantly detects advanced threats like broken cryptography and economic flaws, delivering fast, transparent, and efficient auditing.  Savant Chat is  securing blockchain projects with AI that never sleeps.

Source: https://beincrypto.com/savant-chat-top-6-sherlock-defi-audit-contest/

Market Opportunity
Threshold Logo
Threshold Price(T)
$0.010064
$0.010064$0.010064
-0.90%
USD
Threshold (T) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Microsoft Corp. $MSFT blue box area offers a buying opportunity

Microsoft Corp. $MSFT blue box area offers a buying opportunity

The post Microsoft Corp. $MSFT blue box area offers a buying opportunity appeared on BitcoinEthereumNews.com. In today’s article, we’ll examine the recent performance of Microsoft Corp. ($MSFT) through the lens of Elliott Wave Theory. We’ll review how the rally from the April 07, 2025 low unfolded as a 5-wave impulse followed by a 3-swing correction (ABC) and discuss our forecast for the next move. Let’s dive into the structure and expectations for this stock. Five wave impulse structure + ABC + WXY correction $MSFT 8H Elliott Wave chart 9.04.2025 In the 8-hour Elliott Wave count from Sep 04, 2025, we saw that $MSFT completed a 5-wave impulsive cycle at red III. As expected, this initial wave prompted a pullback. We anticipated this pullback to unfold in 3 swings and find buyers in the equal legs area between $497.02 and $471.06 This setup aligns with a typical Elliott Wave correction pattern (ABC), in which the market pauses briefly before resuming its primary trend. $MSFT 8H Elliott Wave chart 7.14.2025 The update, 10 days later, shows the stock finding support from the equal legs area as predicted allowing traders to get risk free. The stock is expected to bounce towards 525 – 532 before deciding if the bounce is a connector or the next leg higher. A break into new ATHs will confirm the latter and can see it trade higher towards 570 – 593 area. Until then, traders should get risk free and protect their capital in case of a WXY double correction. Conclusion In conclusion, our Elliott Wave analysis of Microsoft Corp. ($MSFT) suggested that it remains supported against April 07, 2025 lows and bounce from the blue box area. In the meantime, keep an eye out for any corrective pullbacks that may offer entry opportunities. By applying Elliott Wave Theory, traders can better anticipate the structure of upcoming moves and enhance risk management in volatile markets. Source: https://www.fxstreet.com/news/microsoft-corp-msft-blue-box-area-offers-a-buying-opportunity-202509171323
Share
BitcoinEthereumNews2025/09/18 03:50
Uniswap Gains Momentum While Pi Network Waits: Is BlockDAG At $0.001 The Best Crypto To Buy Now?

Uniswap Gains Momentum While Pi Network Waits: Is BlockDAG At $0.001 The Best Crypto To Buy Now?

The pi network price is seeking proof. A payments toolkit sounds meaningful, but markets reward usage over updates, and Pi […] The post Uniswap Gains Momentum While
Share
Coindoo2026/01/18 08:02
Academic Publishing and Fairness: A Game-Theoretic Model of Peer-Review Bias

Academic Publishing and Fairness: A Game-Theoretic Model of Peer-Review Bias

Exploring how biases in the peer-review system impact researchers' choices, showing how principles of fairness relate to the production of scientific knowledge based on topic importance and hardness.
Share
Hackernoon2025/09/17 23:15