India mandates pre-installation of cybersecurity app on phones.
On December 1, 2025, India’s telecommunications ministry issued a directive requiring all major mobile device manufacturers to preload a government-backed…
⚙️ Public Info Assessment for Risk Forecasting
We collect and analyze publicly available information to identify exposed assets, data leaks, brand impersonation, and reputational risks — enabling proactive defense and better threat intelligence.
Track mentions, leaks, and threats across the open internet, paste sites, forums, and darknet marketplaces.
Monitor brand abuse, impersonation, or doxxing attempts in real-time — before reputational damage occurs.
Analyze public sentiment, detect fake profiles, and monitor malicious campaigns.
Link activity to known or emerging threat actors using metadata, TTPs, and behavioral patterns.
Everything begins with understanding your environment. We work closely with your team to define what matters most — the digital assets, keywords, people, infrastructure, and topics you need to monitor. This could include your company domains, executive names, employee email addresses, public IPs, or even specific threat actors or industries you’re concerned about. Once the scope is clear, we build a tailored monitoring profile that acts as the foundation of your OSINT operations. This ensures we collect only what’s relevant, cutting through the noise from the very beginning.
With your monitoring profile in place, our system begins scanning the digital landscape — continuously, and at scale. We gather intelligence from public websites, social media platforms, news outlets, blogs, and forums. Beyond the surface web, we also explore the deep and dark web, including hidden marketplaces, encrypted messaging platforms, and underground forums. Using a combination of proprietary crawlers, curated feeds, and public data sources, we collect raw intelligence that could impact your security posture. This phase is where the hidden threats begin to surface — whether it’s a leaked credential, a phishing domain, or your brand being discussed in hacker circles.
The raw data we collect only becomes valuable when it’s enriched, analyzed, and put into context. Our platform uses machine learning and natural language processing to extract meaning from the noise, detect patterns, and map connections across entities, keywords, and events. We correlate findings across multiple sources, flag anomalies, and identify links to known threat actors and tactics. Every data point is scored and prioritized, and before anything reaches your desk, it’s reviewed by our experienced OSINT analysts. This hybrid approach ensures you’re not just getting data — you’re getting intelligence you can trust, with risk levels clearly identified and insights you can act on immediately.
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On December 1, 2025, India’s telecommunications ministry issued a directive requiring all major mobile device manufacturers to preload a government-backed…
A rapidly growing scam targeting WhatsApp users has emerged as one of the most dangerous social-engineering threats across global messaging…
Princeton University disclosed a cybersecurity incident involving unauthorized access to one of its University Advancement databases, after external attackers infiltrated…