Your email gateway was built for a threat that no longer exists
AI has dramatically lowered the barrier to sophisticated social engineering. Adversaries can now generate polished, context-aware messages, build detailed target profiles using public OSINT and run continuous attack campaigns that optimize timing and adapt tactics in near real time.
Many of today’s most damaging email attacks, including Business Email Compromise (BEC), Vendor Email Compromise (VEC), OAuth consent abuse and account takeover, contain no malware or malicious links. They often originate from compromised accounts or legitimate domains and may pass SPF, DKIM and DMARC, allowing them to evade defenses that rely on sender reputation, signatures and known indicators.
Traditional defenses are built to identify known threats. AI-enabled adversaries are creating personalized attacks that have no established signature.
WHAT YOU’LL LEARN
- Federal policy in action: How EO 14409, EO 14306, Pillar 3 of President Trump’s Cyber Strategy for America and OMB M-25-21/M-25-22 support AI-enabled cyber defense.
- Three federal attack scenarios: Vendor impersonation targeting a contracting officer, OAuth consent phishing through a spoofed Teams invitation and AI-generated payroll fraud targeting an HR specialist.
- OAuth consent phishing explained: How attackers can sidestep MFA and why detection requires monitoring anomalous consent grants, not only malicious messages.
- Why behavioral AI is different: How agency-specific behavioral baselines expose threats that lack known signatures or indicators.
- A practical readiness framework: The questions federal leaders should ask when evaluating technology and assessing readiness across People, Process and Technology.
- A phased modernization roadmap: Recommended actions for the next 30–90 days and 6–24 months, from gap assessment and proof of value to SEG rationalization and CDM/SIEM integration.
