Brandefense Academy
Your trusted hub for learning, developing, and mastering the skills that shape tomorrow's digital defense.
Discover Now
Your trusted hub for learning, developing, and mastering the skills that shape tomorrow's digital defense.
Discover NowMost vulnerability programs prioritize by CVSS score, but attackers don't. They exploit what they can weaponize. Brandefense CTI Platform monitors underground exploit chatter, PoC circulation and zero-day signals to tell you which vulnerabilities are actually being weaponized against your sector, right now.
25K+
CVEs Monitored
RT
Exploit Chatter Monitoring
0DAY
Signal Detection
ELS
Exploit Likelihood Scoring
CVSS scores tell you theoretical severity. Brandefense tells you which vulnerabilities attackers are actively discussing, selling and deploying: the intelligence that should drive your patch prioritization.
CVE Monitoring
Underground Exploit Chatter
Zero-Day Signal Detection
Exploit Marketplace Tracking
PoC Circulation Analysis
Stack-Based Prioritization
CVE Monitoring
Continuous monitoring of 25,000+ CVEs, tracking NVD publications, vendor advisories, CISA KEV updates and threat intelligence enrichment to maintain a complete, up-to-date vulnerability database contextualized against your technology stack.
NVD
CISA_KEV
VENDOR_ADVISORIES
Underground Exploit Chatter
Monitoring of dark web forums, hacking communities and Telegram channels for exploit discussions, detecting when specific CVEs are being actively discussed, tested or offered as services by threat actors targeting your sector.
DARK_FORUMS
TELEGRAM
HACKING_BOARDS
Zero-Day Signal Detection
Detection of unpatched vulnerability signals: references to working exploits for unpatched software, nation-state targeting chatter and underground discussions of vulnerabilities not yet publicly disclosed or patched by vendors.
0DAY_SIGNALS
NATION_STATE
VENDOR_MONITORING
Exploit Marketplace Tracking
Monitoring of exploit broker markets and underground trading platforms where weaponized exploits are bought and sold, tracking which CVEs have active exploit listings, current prices and buyer activity levels as demand indicators.
EXPLOIT_BROKERS
MARKETS
PRICING_INTEL
PoC Circulation Analysis
Tracking of proof-of-concept exploit code across GitHub, paste sites, exploit-db and underground sharing channels, detecting PoC publication events that dramatically increase the risk window for any organization running vulnerable software.
GITHUB
EXPLOIT_DB
PASTE_SITES
Stack-Based Prioritization
All vulnerability intelligence filtered and scored against your declared technology stack, ensuring your team receives prioritized alerts for CVEs that are both being actively weaponized AND present in systems you actually run.
STACK_MATCH
PRIORITY_SCORE
Brandefense monitors exploit chatter, PoC releases and marketplace activity continuously, surfacing which CVEs are transitioning from theoretical to actively weaponized before they're used against your infrastructure.
Vulnerability intelligence transforms raw CVE data into a prioritized, context-rich action list, telling your team exactly what to patch first based on actual exploitation activity, not theoretical scores.
Continuous ingestion from NVD, vendor security advisories, CISA KEV catalog, security research publications and proprietary intelligence sources, capturing new CVE disclosures, severity updates and patch availability status in real time.
25,000+ CVEs tracked across NVD, vendor advisories and CISA KEV, with real-time updates on new disclosures, severity changes and patch availability.
Four AI modules predict which vulnerabilities will be weaponized, before your team runs out of patching time and before attackers use them against you.
Exploit Likelihood Scoring (ELS)
Weaponization Timeline Forecasting
Sector-Based Risk Modeling
Zero-Day Signal Classification
Exploit Likelihood Scoring (ELS)
Module 1
Composite scoring model combining 12 signals (CVSS score, exploit complexity, underground chatter volume, PoC availability, market listing activity, actor adoption rate, sector targeting history and patch adoption lag) into a single 0-100 likelihood score that outperforms CVSS alone in predicting real-world exploitation.
ELS_SCORE
12_SIGNALS
Weaponization Timeline Forecasting
Module 2
Time-series models trained on historical CVE exploitation timelines predict the expected window between disclosure and mass exploitation, giving vulnerability management teams realistic patching deadlines based on actual attacker behavior rather than arbitrary SLAs.
TIMELINE_FORECAST
PATCH_DEADLINE
Sector-Based Risk Modeling
Module 3
Models the intersection of vulnerability exposure and sector targeting patterns, identifying which CVEs are being prioritized by threat actors specifically targeting your industry, so your patching effort is aligned with the actual threat actors most likely to target you.
SECTOR_RISK
ACTOR_ALIGN
Zero-Day Signal Classification
Module 4
NLP classifiers trained on underground discussions identify references to unpatched vulnerabilities, distinguishing between theoretical claims, working pre-disclosure exploits and vendor-confirmed zero-days to surface genuine zero-day signals with appropriate confidence levels.
0DAY_CLASSIFIER
NLP_SIGNAL
CVSS score alone is not a patching strategy. Brandefense Vulnerability Intelligence tells you which CVEs are being actively weaponized: across underground chatter, exploit markets and PoC releases, so your team patches what matters first.
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