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Introducing Antares: @Cisco's family of small language models for locating known vulnerabilities in code.
Antares-350M and Antares-1B are live on Hugging Face now. They can outperform many larger closed- and open-weight models at a fraction of the cost.
Small enough to run locally. No shipping sensitive codebases to the cloud.
Why it matters: vulnerability triage is expensive and slow. Antares helps democratize AI-assisted security for all.
Explore the models + read the new Vulnerability Localization Benchmark: blogs.cisco.com/ai/introduci…
Bigger AI models aren't always better.
Go behind the research with @Cisco's @SupritiVijay and @AmanPriyanshu6, the minds behind Antares, to explore how small, purpose-built AI models are advancing vulnerability localization and code security.
Listen to the latest Cisco Champion Radio episode: smarturl.it/S13E14
Cisco AI retweeted
Today, we release the weights of a new and improved Le Chonk, advancing the open frontier for agentic coding and cybersecurity.
💻 Built to build: Le Chonk ranks #1 on @cognition’s FrontierCode among open models, and sets a new benchmark for Pareto efficiency on @artificialanalysis.
🛡 Built to defend: State-of-the-art in cyberdefense, put through the paces by the world's leading cyber vendors, including @CrowdStrike, @cloudflare, @rubrik, @zscaler, and others.
Built for sovereignty: Make it yours. Download the weights on @huggingface , customize it with Mistral Forge, and deploy it wherever you need it.
Read more from our team and customers 👇:
Cisco is expanding its partnership with @ServiceNow!
As a founding member of the ServiceNow Control Tower Alliance, @Cisco is bringing AI security insights and protection into enterprise governance workflows.
And two integrations are already live.
Learn more: blogs.cisco.com/ai/cisco-ai-…
An AI agent's actions may look harmless individually. The real risk emerges when they're connected.
Introducing Project Quarry: @Cisco's new open source detection language designed to identify threats across multi-step agent behavior.
See how it works: blogs.cisco.com/ai/project-q…
Introducing Cisco Model Foundry.
Now partners can access, deploy, and fine-tune @Cisco's purpose-built AI models for their customers, all within Cisco Cloud Control.
Built on decades of networking, security, and operations expertise.
Learn more from @DJSampath: blogs.cisco.com/ai/cisco-mod…
Introducing Agentic FAITH: an extension of the FAITH evaluation framework from Cisco's @fdtn_ai.
One workflow to run cybersecurity evaluations, grade outcomes, and analyze results across Q&A and agentic tasks.
See how it works with VulnLoc: blogs.cisco.com/ai/introduci…
As AI moves from chat to action, how can enterprises securely manage local AI at scale?
Cisco Cloud Control + NVIDIA DGX Station bring together agent observability, security policies, and fleet-wide governance to help make local AI resilient.
Learn how @Cisco and @NVIDIA are enabling secure, resilient local AI: blogs.cisco.com/ai/enabling-…
AI coding agents act with your access rights. How do you keep that access secure?
Cisco DefenseClaw + NVIDIA OpenShell combine secure sandboxes, identity-aware policy, and Cisco AI Defense guardrails to help protect enterprise coding agents.
Learn how @Cisco and @NVIDIA are working together to secure enterprise coding agents:: blogs.cisco.com/ai/protect-e…
Want to see DefenseClaw in action? Find the installation instructions here: cisco-ai-defense.github.io/d…
Trust in AI agents starts with verification.
With Workday Agent Passport now in Early Access, Cisco AI Defense provides the adversarial testing behind security stamps for @Workday-developed agents.
Learn how we're helping build trust into enterprise AI agents: blogs.cisco.com/ai/building-…
Cisco AI retweeted
An AI agent is only as trustworthy as the models, code, data & tools behind it. 🔍
In Episode 2 of Cisco Security in the AI Era, @Cisco's Amy Chang breaks down how to secure the AI supply chain and choose the right models for agentic AI.
Watch now 👉 cs.co/6016BHrBcE
AI agents are moving beyond screens and servers into the physical world.
The new DefenseClaw Edge Connector brings AI agent security to robots, drones, and IoT devices — enforcing security policies locally, in microseconds.
Physical AI is moving intelligence to the edge. DefenseClaw moves security with it.
Read more: blogs.cisco.com/ai/agents-at…
Cisco AI retweeted
Is your team still stuck in the cycle of manual network management?
In this episode of Inside Product, Jeetu Patel and Jeff Schultz discuss why automation is the backbone of Cisco’s current portfolio strategy. They aren't just talking theory—they’re looking at how we can deliver real results for your business by automating the complexities of the AI era.
What’s the most time-consuming task you’ve successfully automated in your network this year? Let us know below! 👇
Check out the full episode here: cs.co/6013BHExQx
How is @Cisco securing agentic AI at enterprise scale?
Join experts from Cisco’s CIRCUIT and AI Defense teams on October 21 to explore how Cisco AI Defense and DefenseClaw protect internal AI workflows through runtime guardrails, scanning, and policy enforcement.
Register now: cloudsecurity.cisco.com/webi…
How can AI agents continuously improve from real-world performance?
Cisco @fdtn_ai introduces FAFO (Fully Automated Flow Optimization), turning production traces and sparse user feedback into an automated optimization loop.
The result: recursive self-improvement grounded in real-world data.
Read more: cisco-foundation-ai.github.i…
September at Cisco Foundation AI: new benchmarks for understanding where cyber-capable AI should be strong — and where it should fail.
🔍 VLoc Bench: 500 vulnerabilities, 290 repos, 147 CWEs
📊 27 models evaluated
🤖 Antares-3B ranks second overall on VLoc Bench
🛡️ Safety-VLoc-Bench explores attacker/defender asymmetry
See what @fdtn_ai shipped in September: blogs.cisco.com/ai/foundatio…
How well can a zero-shot decision model handle content safety?
@Cisco put Jev and Laya head-to-head with a policy-trained classifier across 24 harm categories and 6 datasets.
The takeaway: policy-specific training still wins, and Jev came surprisingly close to a 31B-parameter LLM judge on zero-short safety classification tasks.
See what we learned: blogs.cisco.com/ai/jev-decis…
Cisco AI retweeted
Cisco Talos observed multiple AI agents coordinating against a single target. Adversarial automation is already here.
Nick Biasini opens our new series, "Cisco Security in the AI Era."
▶️ Watch: cs.co/6011BGLkBH
Cisco AI retweeted
In this episode of "Inside Product at Cisco", Jeff Schultz joins Jeetu Patel to delve into the evolution of the Cisco Portfolio and how this focus on critical business outcomes for the AI era is delivering real results for the ecosystem.
Watch the full conversation on YouTube: cs.co/6010BGmwBM
Cisco AI retweeted
The AI era will be built on innovation and trust. Proud to be part of the ecosystem doing both.
Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry.
Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come.
But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility.
This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems.
Together, we are building the foundation of the AI economy.
Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. nvda.ws/4hcoq7m
