2026-03-17 23:52:40
Strategy leaders love to obsess over model benchmarks, debating which LLM has the best reasoning capabilities for their competitive intelligence tools. But this is a distraction from the real failure point: blindness to the current moment.
Asking an LLM about a competitor’s pricing move from the last morning is a waste of compute, and it actively misleads your decision-making. That’s why instant knowledge acquisition is the strategic capability that most innovation teams are missing. Real-time, verified web data is the only way to turn a hallucinating chatbot into a reliable analyst.
The solution? Stop waiting for a smarter model and start feeding it with live news (yes, fresh data beats a bigger brain every time. Boom! 🤯).
In this article, you’ll discover why accuracy is the credibility constraint for market-aware agents and how to solve it. Let’s get started!
There is a dangerous assumption floating around product and strategy teams that sounds like this: “If the model is smart enough, it will understand the market”. It feels intuitive… if the reasoning capabilities are high, the strategic output should be high, right? Wrong! 🛑
This mindset ignores a fundamental architectural limitation: Knowledge latency. 🕰️
Models are historians. Even with a massive context window, a model is trapped in the past of its training data. When you ask an agent to “analyze the sentiment of our competitor’s new feature launch”, the agent isn’t looking at the market. It’s looking at the LLM’s weights, which are months old.
So, what happens? Easy: The model hallucinates 🤦. It fills the gap with plausible-sounding corporate speak because it has no access to the actual press release that went live just yesterday.
So, if you work with market-aware agents, you have to understand that intelligence is secondary to awareness. If your agent can’t touch the live web, verify the source, and ingest the data instantly, it’s more of a liability generator than an actual asset for your company. 📉
To fix this, you need to stop treating these tools like chatbots and start treating them like autonomous sensors.
A market-aware agent is a system designed to navigate the chaotic and unstructured nature of the web to answer high-stakes questions. We are talking about use cases that drive revenue, like:
In a word, the defining characteristic of market-aware agents is the dependency on the “now”. Consider this comparison: if you are building a coding agent, Python syntax doesn’t change week to week. But in market strategy? The reality changes minute by minute. 🕰️
So, if the “better model” isn’t the right solution, what is? The answer is instant knowledge acquisition. But let’s be clear: this is not just “giving the agent Google Search”. That’s the amateur approach. 🙅♂️
Standard search APIs return a lot of useful content, but they are designed for humans who can click and read. Agents, instead, need deep, structured data. This is why instant knowledge acquisition is about creating a multi-step architectural pipeline that transforms the noise of the web into clean, verifiable facts.
Here is what such a pipeline looks like:
Let’s talk about the cost of being wrong. If a creative writing bot hallucinates a plot point, it’s funny. If a competitive intelligence AI hallucinates that a competitor has dropped a key feature, and you pivot your roadmap based on that? You just burned thousands of dollars. 🔥
For strategic teams, accuracy is the hard constraint. You cannot ship a market-aware agent that lies.
This is why the “Retrieval” part of RAG (Retrieval-Augmented Generation) is so critical here. You need to prioritize grounding and continuous retrieval of fresh data. Every claim the agent makes must be traceable to a live, accessible URL. If the agent can’t cite its source, the user can’t trust the insight.
And here is the kicker: the “cleaner” your retrieval, the smarter your model looks. When you feed an LLM high-fidelity, verified, real-time data, it doesn’t have to guess. This way, you stop fighting the model’s hallucinations and start leveraging its reasoning.
So, what’s the ultimate goal? It is to move from “search” to “watch”. Why? Because search is reactive: You ask a question, and the agent looks for an answer. But market-aware agents shine when they are proactive. 🌟
Imagine an agent configured to “watch” a specific set of regulatory pages. It compares the version from 10 minutes ago to the current one to answer questions like:
This creates a loop based on “fetch, diff, analyze, and alert”, which is the heartbeat of an automated strategy. It turns the internet into a structured database of events and allows you to sleep while the agent watches the world. 😴
When you get instant knowledge acquisition right, the human workflow changes. Analysts stop being “search engines”. They stop spending 80% of their day Googling and opening tabs. The agent handles the discovery, extraction, and initial synthesis. Analysts verify. ✅
In this scenario, the human role shifts to verification. The agent says: “Competitor Y launched a vector database, verified by these three sources”. The human clicks the links, confirms the reality, and then makes the strategic call.
This is the only way to scale market intelligence. You can’t hire enough analysts to watch the entire web. But you can deploy enough agents fed with the right data. 🍾
Stop blaming the model for not knowing what happened five minutes ago. Give it the eyes to see the world, and you’ll finally get the market-aware agent you were promised. 👀
For innovation teams rushing to build market-aware agents, there is a massive trap waiting in the implementation phase. Engineers often think: “We’ll just write a quick Python script to scrape these competitor sites”. Famous last words. 💀
The reality is that the modern web is hostile to bots. You are going to run into:
Building a robust instant knowledge acquisition pipeline requires various precautions, like headless browsing infrastructure, proxy rotation, sophisticated parsing logic to strip out ads and boilerplate, and more. It is a massive infrastructure overhead.
Unless your core business is web scraping, building this stack from scratch is a distraction. This is why there’s been a recent shift toward specialized platforms for agentic browsing. These platforms handle the dirty work of fetching and cleaning the live web, delivering structured text that your market-aware agent can actually consume.
Good news for you! You don’t need to lose your mind on infrastructure or custom code. Bright Data has you covered.
In a nutshell, Bright Data’s web access solution bridges the gap by providing:
:::tip Learn more about how Bright Data’s web access infrastructure can support your market-aware agents to get instant knowledge acquisition!
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In this article, you discovered why market-aware agents don’t need the latest model, but current knowledge. You also explored that just giving agents access to the web is not sufficient: You need the right system and infrastructure.
Bright Data helps you retrieve instant knowledge by bearing all the infrastructure headaches for you. No more overheads on antibots, partial data, or incorrect data format.
Join our mission by starting with a free trial. Let’s make web instant knowledge acquisition accessible to everyone. Until next time!
2026-03-17 23:48:53
New York, NY, March 17th, 2026/CyberNewswire/--In 2025, Developer Commits Using Claude Code Show 3.2% Secret Leak Rate vs. 1.5% Baseline. The Human Factor Remains Critical
GitGuardian, the security leader behind GitHub's most installed application, today released the 5th edition of its “State of Secrets Sprawl” report, documenting how mainstream AI adoption in 2025 reshaped software delivery and accelerated the exposure of non-human identities (NHIs) and their secrets across public and internal systems.
While the software ecosystem is growing quickly, leaked secrets are growing faster, and remediation is not keeping up.
The year software changed forever
In 2025, AI adoption permanently changed software engineering:
Together, these forces drove a +34% YoY increase in newly leaked secrets on GitHub, reaching ~29 million secrets detected overall, marking the largest single-year jump ever recorded.
Nine takeaways for CISOs securing Non‑Human Identities (NHI)
Exposed credentials remain a major, repeatable path to compromise. In 2025, AI assistance increased the speed of software creation and multiplied the number of tokens, keys, and service identities embedded across modern stacks, without equivalent improvements in governance.
AI assistants are amplifying risk in new categories of credentials
1. Claude Code-assisted commits leaked secrets at ~3.2%, 2× the baseline. AI-assisted coding has democratized software development, enabling developers without formal training to build applications quickly. However, this accessibility comes with a security gap: less experienced developers may lack security awareness and can ignore AI warnings or explicitly prompt tools to include sensitive information. These leaked secrets may ultimately reflect human mistakes, not just AI failures.
2. AI service credentials leaks are accelerating fastest: leaks tied to AI services increased +81% YoY (to 1,275,105), and are more likely to slip through protections built primarily for conventional developer workflows.
3. MCP configuration risk is emerging: MCP server documentation often recommends placing credentials directly in configuration files rather than using safer client authentication patterns. This contributed to 24,008 unique secrets exposed in the studied MCP configuration files.
AI expands the attack surface overnight
4. Internal repositories remain the biggest exposure reservoir. They are ~6× more likely than public ones to contain hardcoded secrets.
5. Secrets sprawl extends beyond code: ~28% of incidents originate from leaks in collaboration and productivity tools (not just repositories), where credentials can be exposed to broader audiences, automations, and AI agents.
6. Developer machines are becoming part of the credential perimeter. As AI agents gain deeper local access (editors, terminals, files, credentials stores), prompt injection and supply-chain style attacks (Shai-Hulud, for example) can turn local secrets into organizational risk.
“AI agents need local credentials to connect across systems, turning developer laptops into a massive attack surface. We built our local scanning and identities inventory tool to protect them. Security teams need to map out exactly which machines hold which secrets, surfacing critical weaknesses like overprivileged access and exposed production keys.” says Eric Fourrier, GitGuardian's CEO
The industry is facing a growing debt, and needs NHI governance, not just detection
7. Long-lived secrets still dominate: ~60% of policy violations are credentials that persist over time, highlighting the slow transition toward ephemeral, least-privilege access.
8. Prioritization is harder than it looks: ~46% of critical secrets have no vendor-provided validation mechanism, requiring contextual signals (location, usage, downstream consumers, and secrets managers) to assess real-world exploitability.
9. Remediation is failing at scale: 64% of valid secrets from 2022 are still not revoked in 2026, most often because security teams lack the governance needed to achieve a viable, repeatable remediation path for any leaked secret.
GitGuardian believes the next phase of security programs must treat non-human identities as first-class assets: with dedicated governance, context, and remediation automation across code and non-code surfaces.
The full report is available here
GitGuardian is an end-to-end NHI Security platform that empowers software-driven organizations to secure their Non-Human Identities (NHIs) and comply with industry standards. With attackers increasingly targeting NHIs, such as service accounts and applications, GitGuardian integrates Secrets Security and NHI Governance. This dual approach enables the detection of compromised secrets across your dev environments while also managing non-human identities and their secrets' lifecycles. The platform is the world's most installed GitHub application and supports over 550+ types of secrets, offers public monitoring for leaked data, and deploys honeytokens for added defense. Trusted by over 600,000 developers, GitGuardian is the choice of leading organizations like Snowflake, ING, BASF, and Bouygues Telecom for robust secrets protection.
For more information, users can visit www.gitguardian.com
PR Partner
Holly Hagerman
Connect Marketing
:::tip \ This story was published as a press release by Chainwire under HackerNoon’s Business Blogging Program
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Disclaimer:
This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR
2026-03-17 23:31:13
Kingstown, St. Vincent & the Grenadines, March 17th, 2026/Chainwire/--Non-custodial exchange platform ChangeNOW has announced the rollout of Private Send, a feature designed to prevent direct links between sender and recipient addresses on public blockchains.
Integrated into NOW Wallet, Private Send introduces a toggle within the transaction flow. Instead of a direct wallet-to-wallet transfer, funds are routed through ChangeNOW infrastructure before reaching the final address. To the recipient, the transaction appears standard, while the sender's address does not appear in the recipient's transaction history.
Pauline Shangett, CSO at ChangeNOW, says,
"Public blockchains were supposed to be about financial freedom, not financial surveillance. Yet today, analytics firms map billions of addresses into clusters, building profiles on ordinary users. Private Send isn't about hiding from regulators, it's about stopping the default exposure of every move you make. One click, and the direct link between you and the recipient disappears. That's it."
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Blockchain analytics has become standard infrastructure across the industry. A common misconception is that holding crypto in self-custodied wallets ensures anonymity. Analytics firms map billions of addresses into identifiable clusters, linking wallet activity to individuals or entities. Private Send was developed in response to this environment by introducing an intermediary into the transaction flow. The blockchain records the transaction without establishing a direct connection between the sender and the recipient.
Key details
Typical use cases
Private Send is not a mixing service or an anonymization tool. It operates entirely within ChangeNOW's compliance framework and does not alter the final transaction record; it only changes the path to the destination.
ChangeNOW is a non-custodial cryptocurrency exchange platform that values speed, security, and user liberty. Since its launch, it has served over 8 million customers worldwide, offering access to over 110 blockchains and 70+ fiat currencies. By combining the best rates from top centralized and decentralized platforms, ChangeNOW offers a seamless experience with simplified onboarding where users have full control over their assets.
ChangeNOW PR Team
CHN Group LLC
:::tip This story was published as a press release by Chainwire under HackerNoon’s Business Blogging Program
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Disclaimer:
This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR
2026-03-17 23:19:58
George Town, British Virgin Islands, March 17th, 2026/Chainwire/--Aster, a privacy-focused trading ecosystem backed by YZi Labs, today announced the official launch of Aster Chain Mainnet. This purpose-built Layer 1 blockchain is designed to dismantle the "transparency trap" of modern DeFi, offering institutional-grade privacy and CEX-level performance to professional and retail traders worldwide.
Ending the Era of Onchain Position Hunting
Transparency is a defining characteristic of decentralized finance, supported by public ledgers, verifiable transactions, and open protocols. However, transparency between protocols and users differs from transparency among market participants. When trading activity, including order placement, position size, and liquidation levels, is fully visible on-chain, such information may be observed and used by other participants in the market.
Position hunting – where traders identify a large position, see its liquidation price, and coordinate to trigger a forced liquidation – has cost traders millions of dollars on fully transparent platforms. Infamously, in March 2025, a trader opened a $375 million BTC 40x short on a fully transparent platform. Traders quickly began openly coordinating on Twitter to pool funds and hunt the position.
Aster's default privacy removes that attack surface entirely.
The Aster Thesis: Privacy is a Fundamental Right
Unlike existing solutions that treat privacy as an opt-in feature or a third-party wrapper, Aster Chain embeds encryption directly into the execution layer. On Aster, privacy is the default, not a privilege.
The Aster privacy stack utilizes a ZK-verifiable encrypted architecture:
"Transparency between a protocol and its users is a fundamental feature, but transparency between a trader and their competitors is a critical vulnerability," said Leonard, CEO at Aster. "Aster Chain is the only architecture that treats privacy as a fundamental requirement for a fair market, neutralizing predatory attacks at the base layer."
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Aster Chain delivers the sub-second finality and high-leverage experience of a CEX while upholding the core tenets of decentralization: self-custody, verifiability, and permissionless access. Trading privacy removes the last reason to stay on a centralized exchange. The network is supported by a native bridge to BNB Chain and proprietary oracles to ensure high-fidelity price data.
The mainnet launch marks the start of a phased expansion. Beyond the flagship Aster trading UI, the ecosystem is inviting builders to create specialized vaults and collaborative DeFi products through Aster Code.
To coincide with the launch, Aster will initiate a Staking Program within a week to reward early supporters and liquidity providers.
Aster is a privacy-first onchain trading platform backed by YZi Labs, with unique features like Hidden Orders to protect user trading activity. It offers perpetual contracts across crypto, stocks and commodities, as well as crypto spot trading, and is powered by Aster Chain, a Layer 1 blockchain built to power the future of decentralized finance.
Users can learn more about Aster on the official website or follow Aster on X.
PR & Content Manager
Lola Chen
Aster
:::tip This story was published as a press release by Chainwire under HackerNoon’s Business Blogging Program
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Disclaimer:
This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR
2026-03-17 23:11:23
New York, United States, March 17th, 2026/Chainwire/-GSR, crypto’s capital markets partner, today announced the $57 million acquisition of Autonomous and Architech. The transaction significantly expands the firm's ability to support tokenized organizations from formation through scale. Autonomous will continue to operate under its existing brand within the GSR group, providing launch operations, operational support, and financial infrastructure for tokenized organizations, while Architech will form the foundation of GSR Digital Asset Advisory, working alongside GSR’s institutional trading, liquidity, and asset management capabilities.
Launching a tokenized network today often requires engaging multiple structuring advisors, token economists, market makers, and listing consultants, typically operating under fragmented mandates and misaligned incentives.
GSR’s integrated model replaces that patchwork with a coordinated approach, aligning foundation structuring, governance design, token economics, fundraising and exchange strategy, and long-term capital planning. Clients can also access GSR’s institutional trading, derivatives, and asset management capabilities through its existing, regulated entities.
“The crypto industry has matured, but its capital markets infrastructure remains fragmented,” said Xin Song, CEO of GSR. “Entrepreneurs should not have to allocate significant portions of their token supply to disconnected service providers. By aligning advisory expertise alongside GSR’s institutional trading and asset management capabilities, we provide coordinated support from pre-launch through scale.”
Beyond launch, the platform addresses a structural challenge in crypto: foundations frequently begin life managing substantial digital asset treasuries without the financial infrastructure required to oversee them. GSR is able to provide strategic treasury and capital markets guidance, including:
Today, many crypto treasuries function primarily as passive holdings of their own tokens. Introducing structured diversification and income strategies can transform those balance sheets into sustainable funding engines without diluting long-term token alignment. Professionalizing treasury management not only strengthens individual networks but supports the long-term stability of the broader ecosystem.
“Crypto foundations are effectively managing large, complex balance sheets from day one,” said James Hutchings, Managing Director, Autonomous. “Integrating with GSR allows us to pair deep advisory expertise with institutional trading infrastructure.”“Successful tokenization doesn’t end at launch,” added Matt Solomon, CEO, Architech. “It requires coordination across design, liquidity, and long-term financial management. This platform unifies those elements within a first-of-its-kind, integrated offering.”
With this acquisition, GSR advances its strategy to become crypto’s one-stop capital markets partner, delivering institutional standards, aligned incentives, and full-lifecycle support for the next generation of onchain businesses.
About GSR
GSR is crypto’s capital markets partner, delivering market-making services, institutional-grade OTC trading, and venture backing to founders and institutions. With more than a decade of experience, we provide strategic guidance, market intelligence, and access to a global network to help teams scale. Users can visit www.gsr.io for more information, including the General Terms Business, relevant disclosures, and GSR’s trading terms.
Autonomous is an end-to-end launch, finance, and operations partner for digital asset projects. With comprehensive white-glove services including fractional CFO/COO services, finance management, treasury operations, payment processing, partner coordination (i.e., exchanges, custodians, market makers, OTC desks), multi-sig and treasury architecture, token minting, liquidity planning, lock/vest administration, grants management, governance support, and banking setup.
Autonomous support projects through their full lifecycle, spanning pre-launch preparation, TGE, and go-to-market execution, and post-launch steady-state operations.
Architech is the premier advisory firm specializing in fungible token launches and bespoke liquidity strategies. Since its inception in October 2024, Architech has supported token launches totaling over $10 billion in peak fully diluted value. Its core services span mechanism design, market maker facilitation, centralized exchange coordination, GTM strategy, and fundraising.
VP of Public Relations
Haley Malanga
GSR
:::tip This story was published as a press release by Chainwire under HackerNoon’s Business Blogging Program
:::
Disclaimer:
This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR
2026-03-17 22:46:21
Victoria, Seychelles, March 16, 2026
MEXC, the fastest‑growing global cryptocurrency exchange redefining a user‑first approach to digital assets through true zero‑fee trading, today announced the official launch of its Prediction Market. Powered by zero trading fees and millisecond-level low latency, the platform transforms global trending events directly into trading opportunities, redefining the trading paradigm.
Prediction markets are rapidly gaining user recognition. Data from The Block shows the two leading prediction platforms, Kalshi and Polymarket, collectively processed over $18 billion in trades in February alone, up more than 9x from August 2025 levels. Faced with sudden developments such as geopolitical risks and policy shifts, traders can extract information from probability shifts and proactively adjust their positions and risk exposure.
MEXC's Prediction Market carries dual attributes of information reference and risk hedging. At the user experience level, MEXC Prediction Market delivers three systematic enhancements:
MEXC Chief Operating Officer Vugar Usi stated: “Prediction markets turn uncertainty into price. The next frontier of trading isn’t just assets, it’s outcomes. At MEXC, we’re transforming global events into real-time probability signals traders can act on instantly, with zero fees, millisecond execution, and the tools to move before outcomes become reality. Our Prediction Market completes the full loop of judgment, trading, and risk management within a single account.”
MEXC Prediction Market is now officially live, with the first batch covering multiple categories including geopolitical events, macroeconomic developments, and crypto industry events. Users can access and participate directly via the MEXC App and web platform. The platform currently charges zero fees for prediction trading.
For full details on how to participate in MEXC Prediction Markets, please visit this guide.
Founded in 2018, MEXC is committed to being "Your Easiest Way to Crypto." Serving over 40 million users across 170+ countries, MEXC is known for its broad selection of trending tokens, everyday airdrop opportunities, and low trading fees. Our user-friendly platform is designed to support both new traders and experienced investors, offering secure and efficient access to digital assets. MEXC prioritizes simplicity and innovation, making crypto trading more accessible and rewarding.
MEXC Official Website｜ X ｜ Telegram ｜How to Sign Up on MEXC
\ For media inquiries, please contact MEXC PR team: [email protected] \n
:::warning Risk Disclaimer: The probability information provided by the Prediction Market reflects the collective expectations of market participants only and does not constitute investment advice or any guarantee of future event outcomes. This feature strictly complies with applicable laws and regulations and has implemented access restrictions in jurisdictions where it is not permitted. This service is currently unavailable in the following regions: Mainland China, United Kingdom, United States, Iran, North Korea, Syria, Singapore, Austria, Canada, Belgium, Poland, France, Germany, Italy, Bolivia, Haiti, Nicaragua, Cuba, Venezuela, Belarus, Russia, Ukraine, Australia, India, Lebanon, Yemen, Libya, Iraq, Thailand, Myanmar, Ethiopia, Sudan, Democratic Republic of the Congo, Zimbabwe, Central African Republic, Burundi, Somalia, Netherlands, Turkey, and Taiwan.
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