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- Default Isn’t Safe: AI Leaks, Cookie Reuse & Fallback Flaws
Default Isn’t Safe: AI Leaks, Cookie Reuse & Fallback Flaws
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Conditional Access Policies Are Failing on Fallback Networks
When VPNs or SSO platforms go down, fallback routes (like direct IP or email recovery) re-enable risky access pathways that bypass normal device posture checks.
Simulate failure scenarios quarterly. Block fallback methods from high-privilege systems and log all bypass attempts in real time.
Users are sharing screenshots or full prompt logs that include proprietary workflows, credentials, or client names—accidentally leaking internal IP.
Train users to redact before sharing. Monitor AI tool logs for risky keywords and apply DLP to clipboard activity if needed.
Unmanaged internal tools often reuse session cookies across services—allowing one breach to pivot instantly into others.
Use distinct session tokens for each app. Rotate frequently and log token access by endpoint and user-agent.
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QR Phishing Is Targeting Conference Badges
Fake QR codes on posters, handouts, or event badges are directing users to spoofed wifi portals or malicious apps—especially at security conferences.
Distribute known-good QR shortlists. Validate destination domains and print tamper-evident badges.
Smart Assistants Are Transcribing Without Consent
Voice assistants (Siri, Alexa, etc.) in meeting rooms are capturing keywords during security discussions—syncing audio snippets to cloud storage.
Ban smart assistants from sensitive spaces. Use RF scanning to detect unknown mics and monitor audio telemetry spikes.
“Security Score” Widgets Are Being Weaponized in Sales
External security scoring platforms are being manipulated or misread—causing vendors to be accepted (or rejected) based on gamed metrics.
Do your own due diligence. Treat scores as signals, not sources of truth, and weight vendor history over external ratings.
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