Product
Scan multimedia files for data that puts your company at risk. AI-powered detection, built to prevent media-driven breaches.
Every day, employees, executives, and partners publish photos and videos across social media, messaging apps, cloud platforms, and corporate channels. Traditional security tools are blind to what these files contain — exposed credentials, visible infrastructure, readable screens, and location metadata that attackers actively exploit.
Identifies exposed corporate badges, access cards, key fobs, and security credentials in published images and videos. The AI recognizes partial occlusions, rotations, and low-resolution captures that a human reviewer would miss at scale.
Detects readable content on monitors, laptops, whiteboards, and projected presentations visible in media. Extracts text, URLs, internal application interfaces, and code snippets — flagging anything that could enable account takeover or lateral movement.
Extracts EXIF metadata, visual landmarks, signage, and environmental cues to geolocate where sensitive media was captured. Cross-references with known facility locations to flag photos taken inside secure perimeters.
Identifies visible network equipment, server racks, cabling layouts, physical security systems (cameras, access panels, locks), and environmental controls. Maps the physical attack surface that published media inadvertently reveals.
Detects partially visible documents, contracts, financial statements, org charts, and internal communications in photo and video backgrounds. Uses OCR and contextual analysis to assess sensitivity and classify exposure severity.
Scans social media platforms, corporate websites, news outlets, cloud storage links, and messaging previews in real time. New media is ingested, analyzed, and classified within minutes of publication.
A C-level executive posts a photo from the office. Behind them, a monitor displays the company CRM with a visible username, URL, and partial password. The post reaches 12,000 followers before anyone notices.
MediaMiner flags the image within 3 minutes of publication. The security team revokes the exposed credentials, rotates the password, and removes the post — before any attacker can act on the data.
An employee photographs a new printer installation and shares it on social media. The image shows the device serial number, default PIN on a label, and the company's internal network name on the configuration screen.
MediaMiner detects the serial number, PIN, and network identifiers. The security team removes the post, changes the device credentials, and updates the media publishing policy.
A technology vendor publishes marketing photos showing their engineers installing equipment at a banking client. The images reveal rack layouts, network topology labels, and physical access control systems.
MediaMiner identifies the exposed infrastructure across the vendor's social channels. The bank initiates content removal, conducts a supply chain security audit, and enforces publication restrictions in vendor contracts.
An IT support technician screenshots a ticket and shares it in an internal group. The image leaks to a public channel and shows a domain admin console with visible usernames and group policy configurations.
MediaMiner's internal channel monitoring catches the leaked image. The exposed admin accounts are locked, group policies are reviewed, and the incident is contained within the hour.
MediaMiner's detection engine is built entirely in-house — giving BUC full control over accuracy, privacy, and innovation speed. No third-party AI dependencies, no data leaving your security perimeter.
Ingests media files and extracts embedded metadata, hidden content layers, and visual elements for analysis.
Identifies risky objects — screens, badges, documents, equipment — and extracts readable text using specialized OCR models.
Understands what the detected elements mean in an attack context. A badge alone is low risk; a badge next to a door code is critical.
Generates severity-classified alerts with full evidence packages — original media, annotated detections, extracted data, and recommended actions.
MediaMiner's collaborative platform turns raw detections into structured incidents — with severity classification, team assignment, and full audit trails.
Every detection is classified by severity, exposure scope, and business impact. Critical threats surface immediately — low-risk findings are grouped for batch review.
Move threats through discovery → triage → remediation → resolved. Track status, add notes, attach evidence, and link related findings across sources.
Assign threats to team members, add comments, @mention colleagues, and share context. Built for SOC teams, PR departments, and executive security — together.
Visualize exposure trends over time, break down threats by source and type, and generate reports for compliance audits and board-level briefings.
A detected credential on a screen is not just a finding — it's the start of a potential attack chain. When MediaMiner confirms a media-based exposure, BUC's offensive team can trace the exact path an attacker would follow using that data.
When MediaMiner detects a visible password or session token, our team tests whether the credential is still valid and maps the access it grants — before an attacker does.
When badge layouts, door codes, or facility details are exposed in media, our physical pentest team assesses whether the leaked information is sufficient to bypass access controls.
When employee names, roles, and internal tools are visible in published media, our team builds a realistic social engineering scenario to test how far an attacker could get with that information alone.
