Ritoban Mukherjee

The fingerprinting post argues that sites combine mundane signals such as screen resolution, operating system, and GPU model into shadow profiles that can track browsing across the web.

• It acknowledges fraud detection and authentication as legitimate uses, then points to a Lifehacker explainer on checking what a browser might be leaking and reducing it.
• The fake VPN post reports that Socket researchers found more than 700 extensions impersonating NordVPN and Surfshark, and says the Lifehacker article includes tips for spotting fake VPNs and IP concealers.

In the fingerprinting post, the promised reader task is to inspect what data a browser leaks and then fix it; in the fake VPN post, the task is to recognize an imitation before installing it.

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It says AI models are now graded on hacking capabilities and quotes two experts in email interviews.

• Deepak Gupta told them that 'seeing and hearing someone is no longer proof they are real,' while James Scobey said tells have 'marginal value as a supporting signal.' According to the post, both experts agree that the solution is not simply outpacing attackers with newer technology.
• Verbal passphrases — secret phrases shared over a call for identity checks and high-value transaction authorization — could work when combined with other security protocols, depending on the situation.
• The post traces the idea back to 1980s child-safety guidance.

The concrete case is a company employee confirming identity or authorizing a high-value transaction by exchanging a prearranged passphrase on a call, rather than relying on seeing or hearing the person.

The post presents low-tech passphrases as complementary, not a replacement, saying they should be combined with other protocols.

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They say they spent a weekend researching new B2B data journalism tools and building a Dockerized application that uses USASpending.gov data and a Claude API key to analyze live federal contract and partnership data across 100 major tech corporations for ethical and legal red flags.

• The argument: reliable sourcing is easier than ever, but distinguishing reliable data is harder, so B2B teams should adopt newsroom fundamentals of reliable sourcing and fact-checking.
• The post offers people a chance to test-run the tool locally.

The tool analyzes USASpending.gov federal contract and partnership data across 100 tech companies, including AWS, Palantir, and SaaS startups, and is designed to run locally on a desktop.

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It summarizes 404 Media reporter Jason Koebler’s report on what the post describes as the first recorded prompt injection attack directed at a US court.

• The plaintiff, Matthew A.
• Elliott, claimed the attack was an audit to check whether AI models were being used in the judicial process; the judge disagreed and restricted Elliott’s use of electronic filing systems.
• The post links the episode to a similar attack in Brazil, where a lawyer used white text on a white background to hide instructions for large language models.
• Mukherjee asks what cybersecurity measures courts and government agencies need and whether there have been recorded instances of AI models being used in the judicial process.

The hidden-text filing in Brazil shows how an AI instruction can be embedded in a document that looks ordinary to a human reader; the US case raises the question of whether a clerk or an AI model would catch it.

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The joke carries a serious argument: Ritoban Mukherjee questions the incentives behind technology funding and criticizes funding for automated plagiarism technology over creative workers and media organizations. The post shifts from the reported explainers to satire, using humor to challenge where AI investment goes.

The imagined product would let spam recipients politely unsubscribe while rating why the scam did not convince them, then feed their answers into a CRM that ranks targets by scammability potential.

The post treats the scam economy as a business category worth satirizing, not a product to recommend.

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The post shows how Ritoban turns a tracking method into a practical reader task: inspect your browser, understand the tradeoff, and take action.

Ritoban's post explains how websites are preparing for the 'cookiepocalypse': combining mundane signals such as screen resolution, operating system, and GPU model into shadow profiles that track browsing across sites. It distinguishes legitimate uses, such as fraud detection and authentication, from privacy violations, then points to a Lifehacker explainer on checking and fixing what a browser leaks.

For brands planning a campaign

Cybersecurity companies can use this as a model for explainers that connect an emerging threat to a reader checklist. It also offers a clear hook for privacy, fraud-detection, or browser-security campaigns.

Ritoban reports that Socket researchers found over 700 fake VPN apps on the Chrome Web Store, many impersonating NordVPN and Surfshark.

• The post says the extensions primarily target Russian citizens avoiding censorship, but can also install on other users' browsers and funnel browsing activity to unknown remote servers.
• It points to a Lifehacker article with tips for spotting fake VPNs and IP concealers.

For brands planning a campaign

VPN, browser-security, and consumer-privacy brands can use this as an example of translating outside research into accessible risk education with a clear call to action.

It explains why an old, simple method can matter in an AI-driven security arms race.

Ritoban's post describes a ZDNET feature on cybersecurity teams using verbal passphrases—secret phrases shared over a call—for identity checks and high-value transaction authorization.

• It quotes Deepak Gupta and James Scobey, notes that seeing or hearing someone is no longer proof of identity, and traces the idea to 1980s child-safety guidance.
• The post presents the solution as deliberately low-tech and best used with other protocols.

For brands planning a campaign

Security vendors can use this as a reference for content that challenges the assumption that every threat needs a more sophisticated technological response. The example supports campaigns around identity verification and human-layer security.

It shows how a B2B team can assess trustworthy data, with Ritoban building the method rather than just writing about it.

Ritoban's post argues that B2B readers face a flood of 'State of X' reports and have little way to tell which data deserves trust.

• It describes a weekend project: a Dockerized application using USASpending.gov data and a Claude API key to analyze live federal contract and partnership data across 100 major tech corporations for ethical and legal red flags.
• The post stresses that reliable sourcing and fact-checking still matter and offers readers a chance to test the tool locally.

For brands planning a campaign

B2B technology and data platforms can use this as a model for thought leadership that combines practical tool-building with a critique of industry research. It also opens campaign angles around RevOps, sales intelligence, and ethical data sourcing.

It shows what prompt injection can look like outside a developer context and why nontechnical decision-makers should track it.

Ritoban's post summarizes 404 Media's Jason Koebler report on what is described as the first recorded prompt injection attack directed at a US court.

• The plaintiff, Matthew A.
• Elliott, claimed the attack was an audit of court systems to check whether AI models were being used in the judicial process; the judge restricted the plaintiff's use of electronic filing systems.
• The post connects the episode to a similar hidden-text prompt injection in Brazil and asks what cybersecurity measures courts and government agencies need.

For brands planning a campaign

AI security and legal-tech companies could use this as a timely campaign hook for content about model security, government readiness, and the operational risks of adopting AI in regulated workflows.

It captures their humorous voice for an industry audience.

After receiving 500 spam emails in a week, Ritoban imagines a customer feedback and CRM system for scammers, 'like a HubSpot for phishing campaigns', to collect survey responses about why scams failed and improve targeting. The satire ends by asking whether any VCs are exploring the space and criticizing funding for automated plagiarism over creative and media work.

For brands planning a campaign

This is primarily a tone reference, not a campaign asset for most cybersecurity brands. Companies willing to use dry, self-aware commentary can study how the post uses familiar SaaS language to make a sharp point about incentives.

It points to a portfolio and named references, not just individual articles.

Ritoban’s post says they are open to freelance media projects on AI, vibe coding, cybersecurity, B2B tech, DevOps, and IT service management. It cites at least 10 years of professional experience and current contributing work at Techradar, ZDNET, Lifehacker, and Micro Center News, along with editor testimonials on reliability, writing quality, and the ability to explain complex topics to general readers.

For brands planning a campaign

A partnership team can use this as an availability and credibility signal, then consult the referenced portfolio to select beats that match a campaign brief.

One post explains browser fingerprinting: how websites combine ordinary details such as screen resolution, operating system, and GPU model into shadow profiles that can track browsing across the web.

• It notes legitimate uses such as fraud detection and authentication, then points readers to steps for checking what data a browser may leak and reducing it.
• Another post covers more than 700 fake VPN apps on the Chrome Web Store, many impersonating NordVPN and Surfshark, and says the Lifehacker article includes tips for spotting fake VPNs and IP concealers.

Explain the mechanism, then direct readers to a practical check, fix, or spotting guide.

For brands planning a campaign

Suits a B2B security brand that needs accessible education: define a threat, explain its business or consumer impact, and give readers a concrete check or fix. The posts use a readable explainer voice rather than a product pitch.

Examples: Source 1 · Source 2

A post about the first recorded prompt-injection attack directed at a US court summarizes 404 Media reporter Jason Koebler's coverage, describes the plaintiff's claimed audit and the judge's response, then compares a similar hidden-text attack in Brazil.

• It closes with open questions about court cybersecurity and AI use in judicial processes.
• A ZDNET article post cites email interviews with Deepak Gupta and James Scobey on verbal passphrases for identity checks and high-value transaction authorization.

Summarize a reported incident or interview, name the source or experts, then pose the governance or security questions that remain.

For brands planning a campaign

Useful for campaigns that need evidence-led thought leadership: Ritoban can summarize an incident, name source material, quote named experts, and frame unresolved governance or security questions for business readers.

Examples: Source 1 · Source 2

The passphrase article post notes that AI models are graded on hacking capabilities and that, according to the interviewed experts, seeing or hearing someone is no longer proof of identity.

• Those experts still see intentionally low-tech verbal passphrases as a possible control when combined with other security protocols.
• The prompt-injection post examines AI instructions hidden in court filings and the implications for government agencies and courts.

For brands planning a campaign

Fits an AI security, identity, or governance campaign that wants to avoid hype and discuss tradeoffs: sophisticated AI defenses versus simple controls, and what organizations should verify before trusting automated systems.

Examples: Source 1 · Source 2

A post questions the flood of 'State of X' reports and the difficulty of telling which data is trustworthy, then describes spending a weekend researching B2B data journalism tools and building a Dockerized application that uses USASpending.gov data and a Claude API key to analyze live federal contract and partnership data across 100 major tech corporations for ethical and legal red flags. They say the piece discusses how sourcing reliable data is easier than ever but verifying it is harder, and offers a take on what B2B teams can learn from modern newsrooms.

Question a common data practice, build or test a small analytical tool, then translate the lessons for B2B teams.

For brands planning a campaign

Well matched to data, RevOps, sales, or market-research brands that need content about source quality, verification, and practical analysis. Ritoban also shows a willingness to build and test a small tool, which can support a campaign requiring original data or a demo.

Examples: Source 1

The cybersecurity posts similarly point readers to checks and fixes, and the passphrase post links to a published ZDNET feature after explaining how the mechanism works.

Build or test a reproducible example before writing about it, then explain the approach and limitations.

For brands planning a campaign

Useful when a brand wants content grounded in a working example, not just commentary. A campaign can ask for a small reproducible analysis, an explainer with an inspectable method, or a technical walkthrough tied to a clear business question.

Examples: Source 1 · Source 2 · Source 3 · Source 4

The post describes at least 10 years of professional experience and current contributing work at Techradar, ZDNET, Lifehacker, and Micro Center News. It includes editor praise for reliability, synthesis of complex topics for general readers, B2B expertise, and quality copy on deadline.

Ritoban's post and editor quotes describe their availability, years of experience, and outlet relationships. Ask for references or clips to verify them.

For brands planning a campaign

Directly relevant to a content partnership: Ritoban presents as an available senior freelancer with B2B and technology range, editor references, and experience producing explainers, features, and reported articles. Brands can evaluate them for a defined editorial scope rather than a single-format engagement.

Examples: Source 1

One post imagines “customer feedback software for scammers” as a HubSpot-style CRM for phishing campaigns, after receiving spam.

• It also criticizes funding for automated plagiarism technology that shortchanges creative workers and media organizations.
• The tone is sharper than in the reported explainers, linking security, AI and media-business concerns.

The spam-software post is satire, not a product recommendation or evidence that such software exists.

For brands planning a campaign

Best for campaigns that can accommodate a skeptical or satirical voice. It can work for commentary on fraud, spam, AI misuse, or media economics, but may be less suitable for a brand seeking uniformly neutral vendor content.

Examples: Source 1

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Tim Clark reviews a year of brand-journalism content published on Forbes to identify how enterprises framed transformation, risk, and growth. They also write about journalists moving into brand editorial roles, overlapping with Ritoban Mukherjee's work explaining technology trends to a business readership.

Tim Clark writes as a brand-journalism practitioner and hiring-side voice, with trend roundups drawn from client content and practical advice for journalists changing roles.

• Ritoban Mukherjee writes reported explainers built on named outside sources, including a data-journalism post about a tool they built and tested.
• Clark offers strategy-level commentary and career guidance; Mukherjee offers incident-level technical detail and consumer-facing steps.

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Ray Kelly's post on AI-generated fake citations in a court filing argues that missing human review caused the failure, while his pentesting research post argues for grounding an AI agent in environmental context before letting it run. Ritoban Mukherjee's prompt-injection post makes a related argument about AI instructions hidden in court filings and the implications for courts and agencies.

Ray Kelly writes from an enterprise application-security and research standpoint, covering black-box fingerprinting, SQL injection triage, and false-positive reduction for practitioners assessing many applications.

• Ritoban Mukherjee explains threats to a general business audience, quotes external researchers, and points readers to published articles or checks they can run themselves.
• Kelly's posts offer method; Mukherjee's offer explanation and an action.

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Dave Merkel's 2026 predictions post and his piece on India's withdrawn pre-installed security app order overlap with Ritoban Mukherjee's coverage of policy, attacker behavior, and what organizations should expect next.

Dave Merkel writes leadership forecasts and policy critiques in the first person for a security-executive audience, covering topics such as M&A activity, IPO prospects, and federal cyber policy.

• Ritoban Mukherjee reports on specific incidents and published articles, names outside sources, and adds reader-level guidance.
• Merkel argues from position and prediction; Mukherjee argues from reported detail and a checkable next step.

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Both posts draw on publishing the author was involved in.

• One reviews a year of brand-journalism articles published on Forbes and identifies five enterprise themes: AI moving from pilots to operational infrastructure, data framed as a decision-ready asset, decision support instead of more dashboards, loyalty reframed as co-creation, and compliance as a competitive advantage.
• The other analyses the move of more than 2,200 journalists into brand editorial roles and offers practical hiring advice: the titles these roles actually carry, the difference between editorial and content work, taking a step back in pay to break in, building relationships before a job is posted, and showing business impact rather than journalistic reach.
• For a buyer who needs a content strategy, an editorial hiring plan or a trend read drawn from published enterprise storytelling, this is closer to the task than a technical article.

The tradeoff is form and sourcing.

• Both posts reflect on programs the author was part of, without named outside sources or close analysis of third-party research.
• They offer no reader checklist, dataset or reproducible asset like Ritoban Mukherjee’s USASpending data tool or fake-VPN detection guide.
• A buyer seeking an inspectable technical explainer with named expert interviews would get strategy commentary instead.
• Before committing, ask whether commissioned work is available and what the rates and turnaround are.

Examples: Source 1 · Source 2

One post examines a law-firm filing that contained AI-generated fake citations and draws out the operating lesson: the problem was not that the model erred, but that no domain expert checked the output before submission.

• It applies that lesson to shipping AI-generated code and cutting experienced security teams in the name of AI efficiency.
• The other describes hands-on research in a new role at Microsoft: first giving an agent black-box fingerprinting context on a target so it identifies Apache and PHP, prioritises plausible SQL injection strategies and confirms a MySQL-specific error instead of firing payloads blindly.
• The aim is to cut wasted effort and false positives across hundreds or thousands of applications.

The tradeoff is standpoint and format.

• Both posts are first-person practitioner commentary: the author describes their own work and change of employer rather than reporting others’ research through named interviews.
• Neither supplies a reader-facing check or script.
• Where Ritoban Mukherjee’s passphrase feature draws on email interviews with two named outside experts and credits three editors, this material makes a direct practitioner argument.
• A buyer seeking a publication-edited explainer, with outside sources on the record, an outlet editor in the loop and a task the reader can run, would need a different arrangement.
• Before committing, ask whether commissioned writing is available and what the rates and turnaround are.

Examples: Source 1 · Source 2

The year-ahead post makes five concrete calls for 2026: regulatory chaos after the dismantling of public-facing cyber capabilities, more M&A and few IPOs, AI changing cybersecurity jobs rather than removing them, a widening attack surface reaching browser AI and sensitive data held in large model services, and at least one surprise.

• The second post examines a government mandate—India ordering a state-run security app pre-installed on new phones, then reversing the order—and argues against a single point of compromise.
• It makes the case for transparency, independent audit, distributed architecture and privacy-respecting security, and warns that Western democracies face the same pressure.
• For a board-level audience seeking a named practitioner’s read on where the field is heading, this is the nearer match.

The tradeoff is that these posts offer argument and prediction, not reported detail or a testable method.

• Neither names outside researchers or interviewees, or gives the reader a script, dataset or checklist.
• Where Ritoban Mukherjee’s data-journalism post ships a runnable tool over federal contract data and the fake-VPN post points to a detection guide, these posts ask the reader to accept a forecast.
• Predictions also date quickly, which matters to a buyer seeking evergreen explainer content.

Examples: Source 1 · Source 2