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When a critical vulnerability hits, federal security teams don't have the luxury of time. VulnCheck's Federal Threat Intelligence Specialist walks through a live vulnerability intelligence workflow built for the moments that matter most.
Using real-world federal workflows as a guide, we'll trace the full response loop from packages to CPEs to vulnerabilities, showing how VulnCheck data enables teams to quickly stop gap exposure, execute mitigation, and shift into active defense. From there, we'll demonstrate how that same intelligence powers a structured threat hunt across the network, using artifacts and adversary indicators to confirm whether mitigations held or whether something else is going on.
Whether you're a security engineer, analyst, or program lead supporting federal infrastructure, this session will show you what a modern, intelligence-driven response looks like from triage to threat hunt.
Using real-world federal workflows as a guide, we'll trace the full response loop from packages to CPEs to vulnerabilities, showing how VulnCheck data enables teams to quickly stop gap exposure, execute mitigation, and shift into active defense. From there, we'll demonstrate how that same intelligence powers a structured threat hunt across the network, using artifacts and adversary indicators to confirm whether mitigations held or whether something else is going on.
Whether you're a security engineer, analyst, or program lead supporting federal infrastructure, this session will show you what a modern, intelligence-driven response looks like from triage to threat hunt.

In April 2026, Anthropic's Mythos model showed that AI can now autonomously discover and weaponize software vulnerabilities at a scale and speed no human team can match, generating working exploits with a 72% success rate, including a 27-year-old OpenBSD flaw. In one test, Mythos produced 181 working Firefox exploits from a single prompt, where Claude Opus 4.6 managed only two under the same conditions. This isn't a new threat so much as a sharp acceleration of one that was already underway. VulnCheck's 2026 Exploit Intelligence Report, covering 2025, before Mythos-class models reached wide deployment, shows adversaries were already using AI to move faster: 14,400+ exploits tracked across 10,480 CVEs, 884 new Known Exploited Vulnerabilities and nearly 29% of those exploited on or before the day the CVE was published, up from 23.6% the year before. Mythos doesn't start that trend, it compresses it by an order of magnitude. The takeaway: attackers can now find and weaponize bugs at machine speed, and that capability is only getting faster and more accessible. Traditional vulnerability management, built around quarterly scans and 30-60 day patch cycles, wasn't designed for a world where a third of exploited vulnerabilities are already in play on day zero. Organizations need to treat high-risk vulnerabilities as operational events, not backlog items. Join Blackwire Labs and VulnCheck on August 13th for a 60-minute briefing on what this means for Government security teams and how to respond. Attend this webinar to gain actionable insights on:
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