Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Small Businesses Need Professional IT Consulting to Improve Cybersecurity

Running a small business in Connecticut involves managing customers, employees, finances, and daily operations. With so many responsibilities, cybersecurity can easily become something business owners address only when a problem occurs. However, even a single security incident can disrupt operations, expose customer information, and create unexpected expenses.

Securing Agentic Workflows Starts With Data Lineage

A procurement lead asks an AI agent to summarize renewal terms for a software vendor. The agent pulls from a contract repository, a legal team’s chat thread, and a spreadsheet of negotiated discounts. A second agent turns the summary into a briefing and posts it to a shared workspace. No person reviews either handoff. Three weeks later, the vendor quotes an internal walk-away price that was never meant to leave the company.

How to Build an AI Governance Policy for Employees

Most organizations now have an AI policy on paper. Far fewer can tell whether employees follow it. According to ISACA, 25% of organizations have no AI policy at all, and only 38% of those with one describe it as formal and thorough. Meanwhile, employees keep pasting, uploading, and delegating work to AI tools, both generative and agentic. Cyberhaven Labs found that 39.7% of employee interactions with AI tools involve sensitive data.

How Layered Cybersecurity Stops Ransomware and Data Breaches in Mid-Sized Businesses

A layered cybersecurity strategy protects mid-sized businesses by building multiple overlapping defenses, ensuring that if hackers breach one layer, another stops them before data is stolen or encrypted. Single-point solutions fail against modern cyber extortion, leaving growing organizations severely vulnerable. Today, threat actors aggressively target smaller companies that lack enterprise-grade defenses. In fact, an alarming 88% of SMB breaches involve ransomware, making small businesses more than twice as likely to face an attack compared to large enterprises.

Data protection impact assessments (DPIA): Guide and best practices

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

Agentic AI Security Buyer's Guide: 6 Criteria to Evaluate

Most AI security evaluations start with the tools employees already know about: the sanctioned chatbot, the browser plugin, the approved copilot. The harder inventory of AI tooling sits on endpoints, where coding assistants, desktop agents, and custom Model Context Protocol (MCP) servers read files, query databases, and chain actions with no human approving each step.

How to Block Sensitive Data in AI Prompts at the Endpoint

A data loss prevention (DLP) team writes a rule to keep customer records out of ChatGPT. The rule catches an uploaded spreadsheet but misses the same records pasted into a prompt, because no file transfer occurred. The team adds text pattern matching to close the gap, and the rule starts flagging harmless prompts that happen to contain a name and a number. Both failures share one cause. The rule judges what the text looks like and cannot see where it came from.

Unified Data Security vs. Multiple Point Solutions: You Need One View of Data

“Threat Actors Combine Automated and Hands-on Hacking Tools to Steal Sensitive Data.” Security teams read headlines like this every week. When they learn about new threats from sources like CISA Cybersecurity Alerts & Advisories, each one prompts a check on whether current tools cover it. And as these new threat vectors get published, some expose gaps that existing tools can’t cover. Teams respond by searching for products to address these risks.

Why Data Lineage is the Backbone to Building an AI Governance Program

A well-written AI policy is where governance starts. It gets legal, security, and the business aligned on how much risk the organization is willing to accept, and nothing else in the program works without it. Every AI policy ultimately exists to protect the data held by the organization. In today’s world, data held in information systems is the crown jewel of most organizations but the same data can put the organization at risk if it leaks, gets stolen, or is mishandled.

Smaller Models for Better Document Understanding

At Cyberhaven, we replaced our previous LLM-based approach to document understanding with a small model that makes 83% fewer decision errors at less than 1% of the inference cost. We achieved this by breaking complex tasks into simpler decisions, using uncertainty as a training signal, and heavily optimizing our inference stack. The model produces calibrated decision probabilities while preserving multimodal understanding and generative capabilities.