Each CISO is being requested some model of the identical query: are we prepared for AI-powered assaults? Dive into how Cisco is reshaping its personal community, not as a posture checked yearly, however as a steady working mannequin.
Most enterprises are managing dangers primarily based on a menace mannequin constructed for a special period. You set a danger threshold. You centered on the vulnerabilities above that line — those vital sufficient to maintain you up at evening. All the things beneath it, you managed. That was an affordable tradeoff.
AI-powered cybersecurity instruments have modified the mannequin. They don’t simply speed up recognized exploits; they’ll discover and weaponize all the things beneath your threshold, together with the vulnerabilities you determined weren’t pressing and the legacy units you hadn’t gotten round to changing. The bar hasn’t simply moved. It’s been dropped. That realization is reshaping how we function and defend our personal community at Cisco, and we predict it ought to reshape how each enterprise thinks about cyber protection.
“The stuff we used to not fear about — that’s now precisely what we fear about. The bar has been dropped, and we should rethink the entire mannequin.”
What we’re up towards
Cisco’s company community carries site visitors for hundreds of thousands of units, 1000’s of functions, and a fast-growing inhabitants of AI brokers. It’s a prime goal for a similar adversaries our merchandise are constructed to cease.
For years, now we have operated on the identical vulnerability-patching mannequin most enterprises nonetheless use at this time: vulnerability disclosed, patch developed, change-window scheduled, guide approvals collected, repair deployed. That cycle — measured in weeks — made sense when adversaries wanted months to weaponize a newly disclosed flaw. That window is now hours, with the trajectory pointing to minutes, and no quantity of course of enchancment closes a spot that huge.
With new frontier AI fashions, conventional approaches to defending the community are now not enough. The identical capabilities that assist us discover and repair vulnerabilities quicker are additionally touchdown within the fingers of menace actors who can now scan, exploit, and weaponize weaknesses at machine pace. This dynamic extends effectively past our personal code: our broader provider ecosystem is racing to patch vulnerabilities whereas adversaries leverage these similar fashions to find and exploit them, typically in parallel. The result’s a quickly compressing window between disclosure and exploitation, forcing us to evolve simply as rapidly.
Our groups concentrate on discovering and fixing vulnerabilities and use permitted, commercially accessible AI coding brokers ruled by contractual and technical controls to scan complicated merchandise with hundreds of thousands of traces of code. This helps us floor vulnerabilities that people alone would possibly miss.
How we’re responding: See it. Show it. Include it. Substitute it.
Operationally, knowledgeable by our work with Anthropic’s Venture Glasswing and OpenAI’s Dawn, in addition to different frontier fashions, we’ve reorganized our inside protection round 4 pillars, prioritized from the skin in — beginning with the broader provider and menace panorama and dealing inward to our personal atmosphere.
On this mannequin, instruments and brokers don’t function as a guidelines however as a steady loop, reinforcing one another at machine pace.
- Actual-time visibility first. Visibility informs what we validate. Earlier than we may speed up something, we would have liked a centralized, repeatedly up to date image of our full assault floor — each asset, id, service account, cloud entitlement, and API. Actual visibility isn’t simply an asset stock. It’s figuring out who owns every asset, how vital the asset is, and precisely how unhealthy issues can get if it’s compromised. That’s the inspiration for each resolution.
- Steady publicity validation, not periodic evaluate. Validation informs the place we deploy runtime protections. AI-powered adversaries don’t prioritize by the Widespread Vulnerability Scoring System (CVSS) rating. They chain lower-severity vulnerabilities into working exploits quicker than any periodic evaluate cycle can catch. We stopped chasing vulnerability lists. It will permit us to simulate actual assaults at machine pace to repair what’s really exploitable, not what’s theoretically dangerous. Assault path evaluation tells you what’s in danger; severity scores alone don’t.
- Runtime safety as a bridge, not a vacation spot. Runtime telemetry feeds again into visibility. Runtime safety accommodates threats when you repair the basis trigger. It buys time till the precise repair is prepared. The purpose is a manufacturing atmosphere resilient sufficient to maintain working safely even beneath partial compromise.
- Modernization as a strategic safety crucial. Modernization retains the entire loop operating on infrastructure constructed for change. Our focus is on hardening the inspiration — retiring end-of-life programs, eliminating insecure legacy companies, and positioning our infrastructure for quicker patching and better resilience. That trendy basis is what unlocks superior runtime defenses like Hypershield-class segmentation, Dwell Shield, and the eBPF-powered Tetragon agent, which delivers real-time vulnerability shielding with out reboots or binary adjustments — capabilities that merely can’t run on legacy.
How we’re prioritizing: Outdoors in
One of the concrete shifts we’ve made is how we sequence our response. When the scope of publicity is giant and you’ll’t do all the things without delay, triage construction issues as a lot as technical functionality.
Our method: work from the skin in. Web-facing edges carry the best publicity danger and transfer quickest, in order that’s the place we’ve centered patching velocity and shielding first. As we transfer towards the core, the tempo turns into extra deliberate — the boundaries there are amongst our most crucial. The segments separating our largest safety zones — the firewalls defending our most delicate belongings — get prioritized as a result of defending them limits lateral motion and accommodates blast radius if one thing will get by means of.
From there, each resolution runs by means of the identical risk-based logic: decide what’s most uncovered, most susceptible, and what’s the correct response — take away it from the community, section it, apply runtime safety, or speed up the patch. Finish-of-life and unsupported belongings get eradicated or remoted. Externally exploitable vulnerabilities get addressed first. Property that may’t be patched inside operational home windows get runtime-first safety whereas remediation proceeds.
The Larger Shift
All of this factors to one thing extra elementary than a quicker patch cycle. The mannequin we’re constructing towards isn’t a hardened fortress. It’s an agile and adaptable system that may transfer repeatedly to a safer state with out taking a time-out to do it.
“The sport is all the time being able to redeploy new, safe applied sciences. This notion that I’ve received to take a time-out and do patching work — that’s the sport of the previous.”
Because the trade is coming into a interval of intense infrastructure evolution, companies should adapt safety practices and operational fashions to construct and keep resiliency. Our participation in trusted initiatives like Venture Glasswing and Dawn gives us with the deep insights essential to navigate this shift, yielding instant adjustments in how we function. However we aren’t accomplished. As we repeatedly mature our working mannequin, we are going to proceed to show each functionality internally — at scale and in manufacturing — sharing our learnings and finest practices that assist our prospects evolve their very own safety operations.
The window to get forward of AI threats continues to be open. The organizations that construct this operational muscle will compound their benefit. People who wait compound their danger.
“We don’t simply promote the community; we defend each minute of day-after-day with the identical instruments we provide to our prospects.”
Jason Lish is Senior Vice President, Chief Info Safety Officer at Cisco the place he gives strategic management and oversight for Cisco’s Info Safety capabilities, together with enterprise data safety, knowledge safety, assault floor administration, and safety operations. He additionally oversees worth chain safety and the Safety and Belief Group’s mergers and acquisitions service.
Be a part of the Webinar
Glasswing: Mythos calls for a brand new mannequin for infrastructure
Occasion by Cisco Safety
Thu, Could 28, 2026, 12:00 PM
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