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Cisco Safe Entry Accelerates SSE Innovation with AI, Consumer Expertise Monitoring, and Id Intelligence


In a weblog publish final December, I mentioned that the enterprise and IT leaders with whom I meet at all times ask: How can I safe my extremely distributed workforce, who will get extra assorted and decentralized on a regular basis? How do I present tight safety with out burdening them or impeding enterprise?  That hasn’t modified. This nonetheless drives conversations early and infrequently.

But that is by no means in isolation. Their concentrate on enhancing finish customers’ expertise sits proper beside their must make life simpler for his or her IT and safety groups. And naturally, these leaders are intensely working to decrease threat to the group. Merely mentioned, these leaders are saying that they need safety that’s higher for customers, simpler for IT, and safer for everybody. But, that straightforward assertion hasn’t traditionally been straightforward to realize.

In June 2023, we launched Cisco Safe Entry, a safety service edge (SSE) resolution that squarely solutions these wants. And since June, we’ve continued to aggressively add performance to deepen and prolong the methods you can enhance finish consumer expertise, simplify safety administration for IT, and tighten safety for everybody. At this time, I’m thrilled to share capabilities that we introduced at Cisco Dwell in Amsterdam just some weeks in the past.

AI for Safety: Enhance safety and decrease complexity 

We’re excited to announce the AI Assistant for Safety in Safe Entry. This can be a generative AI functionality that can simplify entry coverage creation by routinely changing conversational English prompts into safety insurance policies. It will possibly take a multi-part immediate and create a complicated single coverage. It will possibly routinely break a posh immediate into a number of components and create a set of really useful polices to cowl a whole situation. By default, the AI Assistant creates guidelines in a disabled state to make sure the administrator can tweak, take a look at, and transfer guidelines to manufacturing solely when they’re prepared to take action.

Safety directors now not want to know the coverage engine, formatting, and nomenclature for every safety device and manually create a big quantity of insurance policies. Utilizing the AI Assistant in Safe Entry, by way of the one console, safety directors can save important time throughout coverage creation and administration duties. Moreover, multi-person administrator teams can create a extra constant and efficient coverage set. And, all this pushes the needle on improved operational effectivity and diminished complexity.

Safety for AI: Mitigate dangers of utilizing generative AI functions

My feedback above spotlight how Safe Entry is utilizing AI to counterpoint the safety functionality it supplies. As well as, we introduced our potential to assist organizations safely use generative AI functions inside their organizations to extend worker productiveness with out including safety threat.

Safe Entry AI Information Loss Prevention (DLP) performance secures using Generative AI functions by way of discovery, block/enable, granular management, and inline knowledge loss prevention.

Performance contains:

  • Uncover and management use of 70 generative AI apps, together with Bing AI, Google Bard, and ChatGPT — who’s attempting to make use of it, how steadily, and the place.
  • Block or enable a number of generative AI functions.
  • Allow the secure use of ChatGPT:
    • Granularly management which features to permit — or not — and by whom.
    • Use DLP to make sure delicate knowledge is just not leaked to the AI platform.
    • Use DLP to dam the obtain of unsafe content material from ChatGPT and notify the consumer.

Coverage administration for each inline and out-of-band DLP is finished by way of Safe Entry’s single, unified dashboard, so whereas it’s tightening safety, it’s additionally protecting issues easy for the IT/safety workers.

Expertise insights will increase consumer productiveness and IT effectivity

Expertise Insights is a set of digital expertise monitoring (DEM) capabilities that permits IT/safety groups to enhance consumer productiveness by shortly revealing connectivity points and offering the related particulars for sooner decision. It’s embedded into Cisco Safe Entry and powered by ThousandEyes performance — at no further price — to allow fast root trigger identification and determination.

Expertise Insights displays the well being of work-managed endpoints, their underlay and overlay connectivity, and the applying efficiency of high SaaS functions, comparable to collaboration and productiveness platforms.

Instance Insights:

  • Endpoint efficiency: CPU, reminiscence, Wi-Fi
  • Community efficiency: Endpoint to Safe Entry to focus on vacation spot, together with native community, consumer final mile, Web, and software community
  • Utility efficiency for high SaaS apps, comparable to Microsoft Workplace, Salesforce, Gmail, and Notion
  • Collaboration efficiency scores per consumer for Cisco Webex, Zoom, and Microsoft Groups
  • View user-specific occasions based mostly on circumstances, comparable to coverage block

As a result of it’s a element of Cisco Safe Entry, directors have a single correlated view to handle the connectivity, safety, and digital experiences of their workforce — no matter the place customers or points are situated — to scale back mean-time-to-response (MTTR). This improves consumer satisfaction and makes directors, assist desk workers, and finish customers extra productive.

Expertise Insights might be simply expanded to full ThousandEyes licenses with an prolonged set of monitoring capabilities and knowledge sharing.

Id Intelligence sharpens safety

Within the final yr, we’ve seen an upsurge in identification threats that hit many enterprises laborious. In mild of that, Cisco safety is making identification central to its safety technique. We’re pioneering new identification intelligence that’s all about understanding and managing not solely the who and what of entry, but in addition the when, the place, and how of interactions.

At this time, there may be blind belief between authentication and entry — a clean house the place you’ll be able to’t simply see and reply to identification behaviors. By closing that house, we’ll be capable of transfer from asking, “CAN the consumer get entry to useful resource X?” to the extra vital query, “SHOULD the consumer get entry based mostly on present identification intelligence?”

In mid-2024, Safe Entry will probably be utilizing this deep Id Intelligence to make smarter zero belief entry selections, empowering safety groups to defend towards identity-based assaults. For instance, Safe Entry will be capable of use knowledge from current identification and entry administration instruments to allow directors to wash up unused and susceptible identities that go away a door cracked open for account takeover threats.

Id Intelligence in Safe Entry will expose refined shifts in identification posture by aggregating prolonged attributes and consumer habits components from a variety of Cisco and third-party sources. It will give a transparent image of each identification and repeatedly observe adjustments that empower directors to create and implement subtle Safe Entry insurance policies.

This wealthy identification intelligence will enable your safety group to dam or problem uncommon identification behaviors based mostly on threat. This might then provoke an incremental discount in entry rights or full session termination, shortly containing the impacts of a compromised identification.

Infuse ISE’s identity-based context into Safe Entry

The mixing of Id Providers Engine (ISE) into Safe Entry’s VPNaaS functionality is the primary instantiation of ISE integration throughout Safe Entry that can present granular, identity-based, posture data to deepen visibility into what customers are doing, when, and the way.

It is going to allow the administrator to make use of detailed, identity-based data to make proactive governance selections (by way of coverage). For instance, you’ll be able to know — on a per consumer foundation — the system sort used, its location, its state/posture, is it managed or unmanaged, what’s the time of day, and extra. Sooner or later, through the use of AI analytics, Safe Entry will be capable of detect anomalies in system posture and identification after which apply the right coverage.

The upshot? It is possible for you to to extra exactly implement the proper coverage, for the proper consumer or system, on the proper time.

That is just the start. Cisco is driving towards frequent identification throughout merchandise and capabilities, utilized wherever customers work, nevertheless they join (wired or wi-fi), and no matter sources they entry.

Why Cisco?

Scale issues in safety, and Cisco has a confirmed observe document with cloud-delivered safety options. We’ve over 70 thousand cloud safety clients, handle 220 million distant endpoints, and safe over 600 billion net requests per day. We all know how you can do safety at scale. To study extra, register to see a dwell demo of Cisco Safe Entry.


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