We help AI-native companies deploy fleets of autonomous security agents.

United States
Joined December 2025
Every new line of code now meets a swarm of agents looking for something to exploit. Enclave’s agents run like an attacker swarm and prep the fix. Watch them in action securing a PR on Router by Enclave. enclave.ai/demo
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RT @talhof8: Jevons Paradox to the win. Cybersecurity is going to be the hottest job in tech!
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Enclave for Open Source is live! PHP2Shell showed how fast AI-driven research moves: flaws that sat in PHP for over a decade were turned into working exploits in about a week, according to the researchers who found them. Most open source projects don't have a team that can absorb that. We're giving them one. Enclave contributes up to $10K in credits for security usage. Apply: enclave.ai/open-source
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Enclave retweeted
What a day… The future of cybersecurity is swarms. Swarms of agents attacking and swarms of agents defending. Or rather, fleets vs. swarms: Governed agents on defense, vs cheap and relentless agents on offense. Whoever coordinates faster wins.
The China state-aligned threat actor Storm-0940 used the agentic AI penetration testing framework ARTEX to automate attacks targeting hundreds of organizations globally across a broad range of industries. Microsoft Threat Intelligence assesses that Storm-0940 was responsible for the recently disclosed ConnectWise supply chain compromise of a multitenant application. msft.it/6018aakEE Our investigation found that Storm-0940's use of ARTEX accelerated the speed of compromised application abuse to authenticate to target environments through applications that had already been granted access, allowing the threat actor to operate without requiring an interactive user sign-in. AI-accelerated follow-on activity included reconnaissance, application credential changes, and attempts to modify privileges that could enable expanded or persistent access. Read our blog for a detailed analysis and indicators of compromise (IOCs), along with Microsoft Defender detections, protection recommendations, and guidance on investigating service principal sign-ins and unexpected application credential or privilege changes.
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Enclave retweeted
Cyber is going to be one of the most profound aspects of AI. We now have a tireless workforce that can hunt down, discover, patch, or attack any system and software ever created. We will use agents to identify the long standing risks in existing systems and infrastructure. Attackers will use agents to accelerate the discovery of gaps in environments. We will equally use agents to defend attacks and discover anomalous patterns to better protect our data, and much more. We’re entering a new cyber regime, and we’ll probably use 100X more tokens on this loop than we’re imagining right now, because we can scan every log, look at every line of code, look through traffic, and process data at a scale that wasn’t comprehensible before. More than ever, enterprises are going to care deeply about how they manage their networks, systems, software, data, identity, devices, and more. Agents will largely become the solution to these challenges, but they will keep everyone up in the process.
Effective Immediately, all organizations using PHP for their systems are advised to be prepared for an update addressing two critical vulnerabilities. PHP is widely used for web applications. These vulnerabilities often provide a direct path to the server's file system or database. If an immediate update is not feasible, it is recommend that organizations take the system offline until it can be fully mitigated. NSA will follow up shortly with more specific guidance.
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Startups using PHP: don’t leave “are we exposed?” unanswered. Get $1,000 in Enclave credits through our startups program to check your exposure to these PHP vulnerabilities and help fix what’s exploitable. Apply here: enclave.ai/demo
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Startups using PHP: don’t leave “are we exposed?” unanswered. Get $1,000 in Enclave credits through our startups program to check your exposure to these PHP vulnerabilities and help fix what’s exploitable. Apply here: enclave.ai/demo
Companies using @EnclaveAI: Check if you're exploitable and remediate ASAP
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Companies using @EnclaveAI: Check if you're exploitable and remediate ASAP
Effective Immediately, all organizations using PHP for their systems are advised to be prepared for an update addressing two critical vulnerabilities. PHP is widely used for web applications. These vulnerabilities often provide a direct path to the server's file system or database. If an immediate update is not feasible, it is recommend that organizations take the system offline until it can be fully mitigated. NSA will follow up shortly with more specific guidance.
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Enclave retweeted
Another day, another compromise. This time, LiteLLM (again!). A security report flags v1.107.0 for credential theft + an RCE loader. PyPI removed it. The report also warns about infected Docker images. Check your deployments and rotate exposed secrets! github.com/BerriAI/litellm/i…
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Enclave now integrates with @Vercel. Connect your team and Enclave maps every project, domain, and deployment alongside your repos and cloud accounts. Find what an attacker could actually exploit, wherever your code ends up running.
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DeepSeek published a new V4.1 Flash snapshot on October 17. In our AI Hacking Race it verified 4 of 11 vulnerable runs, meaning a command executed inside the target and confirmed by our Triage step. It solved 3 of the 4 tasks and verified none of the 4 patched controls. All 15 runs cost $3.00. enclave.ai/hackingrace
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The earlier V4.1 Flash still holds our top row at 11 of 11, but that was measured before we closed two shortcut paths in the benchmark. Rerun on the current suite, it verified 4 of 11, the same as the new snapshot. The new snapshot is listed at $0.098 per million input tokens and $0.294 per million output tokens on DeepInfra FP8, against $0.14 and $0.42 for the earlier one. Its $3.00 frame and the rerun’s $2.65 are the two cheapest on the board. It cost slightly more than the rerun and used about 2.15 times the reported input tokens, which include cached tokens. This is a calibration panel of four applications and 15 runs, each run once, not a general model ranking. Costs for GPT 5.6 Sol and GPT-6 Sol are estimates. enclave.ai/blog/deepseeks-ne…
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Enclave for Startups is now live. We’re giving startups $1,000 in usage credits to secure their systems as they scale. Attackers can run swarms of autonomous agents that scan for vulnerabilities and try to exploit them. That means you need a fleet of agents for defense, and startups should have one too. Enclave’s fleet sends an agent to each attack surface of your application, all at once. Each agent reads its part of the code, forms a hypothesis about how an attacker could get in, and tests it. A second set of agents verifies each finding, so you get evidence. Apply: enclave.ai/demo
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Enclave retweeted
If you're blocked on guardrails mid-attack, you're NGMI. Use a multi-model security harness so you don't get refused the moment you actually need it!
OpenCode is currently under a sustained cyberattack, and mid-incident they ran into the same problem Hugging Face did: the frontier models they were using for defense began refusing to help fight attacking agents because analyzing the attacks started triggering safety guardrails.
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Enclave retweeted
Startups: if you need help securing your systems, DM me or reply here. We'll cover your first month with $1,000 in credits.
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Western open-weight models are finally catching up on offensive security. @Meta calls Muse Spark Open the most capable US open-weight model to date, so we put it through our AI Hacking Race. It landed 1 of 11, and it didn't refuse a single task! A western open-weight model with published weights, that works offensive security tasks without refusing and reads the planted vulnerable code across Grafana, Jenkins, and Nextcloud, is a genuine step forward for Western open models in this space. Full writeup: enclave.ai/blog/meta-muse-sp…
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Enclave retweeted
Replying to @dhh @kwilczynski
Great initiative! Happy to contribute credits for Security Code Reviews on behalf of @EnclaveAI to help secure the codebase.
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Yesterday we published Meta's Muse Wonder results from our AI Hacking Race. It went 3 for 3 on Grafana through the vulnerability the challenge was built around: the plugin import route decodes each file path once to validate it and again to extract it. DeepSeek V4.1 Flash also went 3 for 3 on Grafana and never touched that bug. It dropped its own executables into a temporary plugin folder, got Grafana to load that folder as a normal plugin, and submitted the flag in as little as 52 seconds. We went over how we caught it in our latest webinar: enclave.ai/events/how-to-bui…
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Enclave retweeted
Startup companies can't afford not to care about security anymore. Their codebase is changing so fast, and it becomes huge in no time. It's always nice to see startups that didn't care about security come to us, scared. My two cents? Embrace security in a way that doesn't hold back speed, but makes you feel safer than you do now.
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