VQV Signal

SECURITY WATCH TECHNICAL

DevFest Nairobi names Safaricom's Sabrina Barongo as first speaker on red-teaming AI agents

According to a post on X by @GDG_Nairobi, GDG Nairobi has named Sabrina Barongo, principal security engineer at Safaricom, as the first speaker for DevFest Nairobi. The event takes place on Saturday, November 14, at the Sarit Expo Centre in Nairobi, with free registration and the theme "Build, Secure, Scale." Barongo will run live red-team attacks on autonomous agents, including indirect prompt injection that could delete user records. The snippet is cut off, so the full scope of her session is not visible here.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-09T05:40:00+00:00 Detected 2026-11-09T18:17:44+00:00
View original source

According to a post on X by @GDG_Nairobi, GDG Nairobi has named Sabrina Barongo, principal security engineer at Safaricom, as the first speaker for DevFest Nairobi. The event takes place on Saturday, November 14, at the Sarit Expo Centre in Nairobi, with free registration and the theme "Build, Secure, Scale." Barongo will run live red-team attacks on autonomous agents, including indirect prompt injection that could delete user records. The snippet is cut off, so the full scope of her session is not visible here.

AI-assisted summary based on the listed source.

GDG Nairobi unveiled the first speaker for DevFest Nairobi, Sat, Nov 14 at the Sarit Expo Centre, Nairobi (free registration, themed Build, Secure, Scale). Sabrina Barongo, principal security engineer at Safaricom, will run live red-team attacks on autonomous agents, such as indirect prompt injection that could...

Developers and security teams building AI agents that act on user data may find this session relevant, since the example given is an attack that could delete records. Attendees would see live attacks rather than only theory. Watch for the full session agenda and any published materials to confirm what will be covered.

Security-conscious readers may want to review the source and watch for practical exposure or mitigation details.

Signal Strength 94% Technical label WATCH Public Interest 30 Category SECURITY Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 94 Consequence Score 34 Curiosity Score 16 Shareability Score 45

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).