The problem: investigation tends to break under the speed and scale of AI-driven attacks.
The solution: the @outtake_ai Recon Agent, built on Claude. Starting with a single signal, it traces activity back to its origin and builds a full map of the operation behind it — entities, operators, infrastructure, tactics, and relationships in the span of hours.
Recon Agent is the intelligence engine at the core of the Outtake Agentic Platform. Each investigation expands the platform’s understanding, feeding new discoveries back into the Signal Reservoir and Threat Graph. The more it runs, the sharper future investigations become.
Congratulations to @adylon7 and the Outtake team on the launch, we’re grateful to support you as you build towards the future of security.
Disclaimer: https://t.co/fdP8ALDhEm
The @AnthropicAI x @outtake_ai webinar already has 1,000+ security leaders registered.
Mythos, Anthropic’s latest model with superhuman cybersecurity capabilities, knocked the world sideways
Outtake has quietly spent the last few months working closely with the Anthropic team to power digital trust & dismantle threats across the public internet.
The Outtake engineering team is the most talented set of people I've ever worked with -- come watch me and @hayford_jack cook.
.@coinbase stock performance is a direct consequence of this completely unacceptable captcha, which triggers both when you enter your email, AND when you enter your password.
PROVE ME WRONG.
Sometimes there’s no better way to understand the progress of AI than to see it in physical form, moving through the world in front of you.
At @OneRSAC our robots drew people in, but what mattered were the conversations that followed with hundreds of security leaders trying to understand what the agentic internet means when malicious autonomous systems are targeting their brands, executives, and customers across every digital surface. @outtake_ai exists for exactly that world: our always‑on agents help teams detect, prioritize, and dismantle coordinated digital threats in hours instead of weeks.
See you next year, RSAC. Some fun shots from our time in SF.
if you’re using the LLM to offload mechanical tasks, great
if you’re using it to offload your judgement and prioritization, you’re fucked
if the LLM is accumulating all the context, and you’re just passively reading it (or worse, not even that) you’re mega fucked