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Story Tweedie-YatesProduct Marketing Manager – Cloud Web SecurityAugust 2015
Protecting your environment against the top two attack vectors
Cisco Web and Email Security
2© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
The Attack Landscape
Threats from a user’s perspective
Before, during and after: a security framework
Cisco Web and Email Security offerings
Newest product features & roadmap
What to do next
Agenda
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The Attack Landscape
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Threats continue to evolve
1990 1995 2000 2005 2010 2015 2020
Viruses1990–2000
Viruses2000–2005
Spyware and Rootkits2005–Today
APTs CyberwareToday +
of large companies targeted by malicious traffic 95% of organizations interacted
with websites hosting malware 100%
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Users becoming complicit enablers of attacks
Untrustworthy sources
Clickfraud and Adware
Outdated browsers
10% 64%IE requests running latest version
Chrome requests running latest version
vs
Why Web Security?
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Attackers:
Shifts in the attack vectors
Java
Silverlight
Flash
Java drop 34%
Silverlight rise 228%
PDF and Flash steady
Log Volume
2015 Cisco Annual Security Report
Why Web Security?
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Attackers:
A growing appetite to leverage targeted phishing campaigns
Example: Snowshoe SPAM attack
SPAM up
250%
Why Email Security?
8© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Attackers:
Malvertising is on the rise: low-limit exfiltration makes infection hard to detect
In October 2014, there is a spike of
250%
More reason for Web Security
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Attack techniques: web and email
Approach
Tactic
Impact
Threat vector
Infect or inject a trusted site
Conduct reconnaissance on a target
Deliver an exploit that will attack
Target users through compromised links
Leverage social engineering
Deliver an exploit that will attack
Deliver malware with stealth and self-deleting programs
Gain access through DLL injection and control firewalls, antivirus, ect
Compromises system control, personal data and authorizations
DropperWatering hole Spear phishing
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Threats from a user’s perspective
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Web and email can be accessed anywhere
Mobile Coffee shop Corporate Home Airport
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Sample attacking: Joe CFOWaiting for his plane
Meet Joe. He is heading home for a well deserved vacation.
He’s catching up on email using the airport Wi-Fi while he waits for his flight.
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Sample attacking: Joe CFOChecks his email
Joe just got an email from his vacation resort.
Your Tropical Getaway
Joe,
Thank you for choosing us. We look forward to seeing you.
Before your arrival, please verify your information here: www.vacationresort.com
Best,Resort Team
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Sample attacking: Joe CFOInstinctively, he clicks on the link
No problem, right? Everything looks normal.
The site may even be a trusted site, or maybe a site that is newly minted.
Your Tropical Getaway
Joe,
Thank you for choosing us. We look forward to seeing you.
Before your arrival, please verify your information here: www.vacationresort.com
Best,Resort Team
15© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Sample attacking: Joe CFOJoe is now infected
Joe opens the link and the resort video plays.
Although he doesn’t know it, Joe’s machine has been compromised by a Silverlight based video exploit.
The malware now starts to harvest Joe’s confidential information:
• Passwords
• Credentials
• Company access authorizations
16© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Today’s cyber-threat reality
Hackers will likelycommand and control
your environment via web
You’ll most likely be infected via email
Your environmentwill get breached
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Before, during and after: a security framework
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The Attack Continuum
Network Endpoint Mobile Virtual Cloud
Point in Time ContinuousThreat IntelligenceX
DURINGDetectBlockDefend
AFTERScopeContain
Remediate
BEFOREDiscoverEnforceHarden
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Key:
Cisco Web Security
BeforeAfterDuring
Outbreak Intelligence
Reporting
Log Extraction
Management
Allow Warn Block Partial Block
HQ
Client Authentication Methods
Talos
www
CWS Only WSA / WSAv Only
Web Filtering
Web Reputation
Application Visibility &
Control
Webpagewww.website.com
Anti-Malware
File Reputation
File Sandboxing
File Retrospection
Cognitive Threat
Analytics
DLP Integration
Hybrid
CWS
WSA
Roaming UserBranch Office
WCCP
ASA
Load Balancer
WSA
PBR
ISR G2 AnyConnect
AnyConnectExplicit/PAC
Explicit/PAC
Traffic Redirection Methods
Campus Office BYOD User
Admin
WSA
X X X X X X
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Cisco Email Security
ReportingMessage Track
Management
Allow Warn
AdminHQ
Anti-Spam and
Anti-Virus
Mail Flow Policies
Data Loss Protection
Encryption
Before DuringX XXX
Inbound Email
Outbound Email
Cisco
Appliance Virtual
Talos
BlockPartial Block
Outbound Liability
BeforeAfterDuring
Tracking User click Activity
(Anti-Phish)
File Sandboxing & Retrospection
X X XXX
Cloud
ContentControls
X
EmailReputation
AcceptanceControls
File Reputation
Anti-Spam Anti-Virus Outbreak
Filters
X
Mail FlowPolicies Graymail
Management
Safe Unsubscribe
X
Anti-PhishThreatGrid URL Rep & Cat
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1.1 million file samples per day AMP community Advanced Microsoft
and industry disclosures Snort and ClamAV open source
communities AMP TG Intelligence AEGIS™ program Private and public threat feeds 10 million files per month - AMP
TG Dynamic analysis
Talos: before, during and after
10I000 0II0 00 0III000 II1010011 101 1100001 110110000III000III0 I00I II0I III0011 0110011 101000 0110 00
I00I III0I III00II 0II00II I0I000 0110 00
101000 0II0 00 0III000 III0I00II II II0000I II01100001110001III0 I00I II0I III00II 0II00II 101000 0110 00
100I II0I III00II 0II00II I0I000 0II0 00
Cisco®
Talos
Threat Intelligence
ResearchResponse
ESA/WSA/CWS
Email Endpoints Web Networks IPS Devices
WWW
1.6 millionglobal sensors
100 TBof data received per day
150 million+ deployed endpoints
600+engineers, technicians, and researchers
35% worldwide email traffic
13 billionweb requests
24x7x365 operations
40+languages
22© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Cisco Web and Email Security offerings
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Complete Solution
Pervasive
Continuous
Always On
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Finding a solution
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Cisco Web and Email Security offeringsCloud Web Security (CWS)
Web Security Appliance (WSA)
Email Security Appliance (ESA)
Cloud Email Security (CES)
Cloud Access Security
Cognitive Threat Analytics
Talos
AMP
Threat Grid
Unified Reporting
Visibility-Driven Threat-Focused Platform-Based
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Talos
Visibility-Driven
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1.1 million file samples per day AMP community Advanced Microsoft
and industry disclosures Snort and ClamAV open source
communities AMP TG Intelligence AEGIS™ program Private and public threat feeds 10 million files per month - AMP
TG Dynamic analysis
Talos: processing power and visibility
10I000 0II0 00 0III000 II1010011 101 1100001 110110000III000III0 I00I II0I III0011 0110011 101000 0110 00
I00I III0I III00II 0II00II I0I000 0110 00
101000 0II0 00 0III000 III0I00II II II0000I II01100001110001III0 I00I II0I III00II 0II00II 101000 0110 00
100I II0I III00II 0II00II I0I000 0II0 00
Cisco®
Talos
Threat Intelligence
ResearchResponse
ESA/WSA/CWS
Email Endpoints Web Networks IPS Devices
WWW
1.6 millionglobal sensors
100 TBof data received per day
150 million+ deployed endpoints
600+engineers, technicians, and researchers
35% worldwide email traffic
13 billionweb requests
24x7x365 operations
40+languages
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Cloud Access Security
Visibility-Driven
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Shadow Data
Shadow IT
Visibility into Shadow IT and Shadow Data
??
??
?
?
??
? ?
PCI relatedcontent
Intellectual property
HR documents with SSN
PHI related documents
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Shadow IT Risk Assessment Report
Business Readiness Rating™
Audit Score
Shadow Data Risk Assessment
After
StreamIQ™
ThreatScore™
ContentIQ™
Reports & Analysis
Cisco Cloud Access Security
Cloud Apps ? ?
?? ?? ?
IO IOI
IO IOI
ProtectIO IOI
IO IOI
Cloud SOC Policy IO IOI
IO IOI
?
54541717
IO IOI
IO IOI
??
IO IOI
Audit
Detect
?
Investigate
WSA
Before
During
Elastica CloudSOC™
In collaboration with
Data Account User
SecurityOperations
CenterAnalyze &
ControlSecurlet™ Gateway
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Advanced Malware Protection (AMP)
Threat-Focused
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Layer 1
During After
Layer 2
AMP
CTA
CWS PREMIUM
AMP
CTALayer 3
File Reputation Anomaly detection
Trustmodeling
Event classification
Entity modeling
Dynamic MalwareAnalysis
File Retrospection
Relationship modeling
CTA
AMP Retrospection
Policy AVAMP File
Reputation
AMP delivers point-in-time, continuousand retrospective security
File Unknown!
Retrospective Incidents
1
3
AMP Cloud
Knowwhere itall started
OI
Understand how it entered the system
See everywhere that it has been
Determine what it has done
Learnhow tostop it
AMP Dynamic Malware Analysis
2
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Layer 1
During After
Layer 2
AMP
CTA
CWS PREMIUM
AMP
CTALayer 3
File Reputation Anomaly detection
Trustmodeling
Event classification
Entity modeling
Dynamic MalwareAnalysis
File Retrospection
Relationship modeling
CTA
Improve the accuracy of threat identification with File Reputation
Machine Learning decision tree
Confirmed malware
Confirmed clean file
Confirmed clean file
Confirmed malwarePossible
clean file
Possible malware
Collective User Base
Collective User Base
One-to-OneIdentifies specific instances of malware with a signature-based approach
Fuzzy FingerprintingAutomatically detects polymorphic variants of known malware
Machine LearningIdentifies new malware using statistical modeling and analytics engines
File Reputation
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Layer 1
During After
Layer 2
AMP
CTA
CWS PREMIUM
AMP
CTALayer 3
File Reputation Anomaly detection
Trustmodeling
Event classification
Entity modeling
Dynamic MalwareAnalysis
File Retrospection
Relationship modeling
CTA
Detect zero-day threats with Dynamic Malware Analysis
Collective User Base
Collective User Base
AMP Dynamic Malware Analysis
AMP Dynamic Malware Analysis
Dynamic AnalysisAnalyzes unknown malware and assigns a threat score within minutes
Advanced AnalyticsWorks in tandem with One-to-One, Fuzzy Fingerprinting and Machine Learning to identify malware that remains undetected
Dynamic Malware Analysis
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Layer 1
During After
Layer 2
AMP
CTA
CWS PREMIUM
AMP
CTALayer 3
File Reputation Anomaly detection
Trustmodeling
Event classification
Entity modeling
Dynamic MalwareAnalysis
File Retrospection
Relationship modeling
CTA
Get insight on what a file has done and where it has been with File Retrospection
Performs analysis the first time a file is seen1
Analyzes the file persistently over time to see if the disposition is changed
2Gives unmatched visibility into the path, actions or communications associated with a particular software
3
File Retrospection
Analyze Monitor Identify
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AMP Everywhere
AMPAdvanced Malware
Protection
AMP for Networks
AMP on Web and Email Security Appliances
AMP on Cisco® ASA Firewall with FirePOWER Services
AMP for Endpoints
AMP for Cloud Web Security and Hosted Email
AMP Private Cloud Virtual Appliance
MAC OS
Windows OS Android Mobile
Virtual
CWS
AMP Threat Grid Malware Analysis + Threat
Intelligence EngineAppliance or Cloud
*AMP for Endpoints can be launched from AnyConnect
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Threat Grid
Threat-Focused
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AMP Threat Grid
AMP Threat Grid platform
correlates the sample result
with millions of other samples
and billions of artifacts
Actionable threat content and intelligence is generated that can be utilized by AMP, or packaged and integrated into a variety of existing systems or used independently.
1100001110001110 1001 1101 1110011 0110011 101000 0110 00
101000 0110 00 0111000 111010011 101 1100001 110
1001 1101 1110011 0110011 101000 0110 00
Analyst or system (API) submits suspicious sample to Threat Grid
Low Prevalence Files
An automated engine observes, deconstructs, and analyzes using multiple techniques
Actionable threat content and intelligence is generated that can be packaged and integrated in to a variety of existing systems or
used independently.
AMP Threat Grid platform correlates the sample result with millions
of other samples and billions of artifacts
101000 0110 00 0111000 111010011 101 1100001 110
101000 0110 00 0111000 111010011 101 1100001 110
1001 1101 1110011 0110011 101000 0110 00
Threat Score / Behavioral IndicatorsBig Data Correlation Threat Feeds
Sample and Artifact Intelligence Database
Actionable Intelligence
Proprietary techniques for static and dynamic analysis
“Outside looking in” approach
350 Behavioral Indicators
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Cognitive Threat Analytics
Threat-Focused
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Here’s an example of how CTA works
Near real-time processing
1K-50K incidents per day10B requests per day +/- 1% is anomalous 10M events per day
HTTP(S)Request
Classifier X
Classifier A
Classifier H
Classifier Z
Classifier K
Classifier M
Cluster 1
Cluster 2
Cluster 3
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request HTTP(S)
Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
Cluster 1
Cluster 2
Cluster 3
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)RequestHTTP(S)
Request
HTTP(S)Request
HTTP(S)RequestHTTP(S)
Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)RequestHTTP(S)
Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
Anomaly Detection Trust Modeling Classification Entity Modeling Relationship Modeling
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)RequestHTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
HTTP(S)Request
CONFIRMED threats(spanning multiple users)
DETECTED threats (unique)
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Unified ReportingPlatform-Based
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Unified Reporting for Cisco Web Security
WSA
Log extraction feed
Web security reporting application
Web Security Essentials
Web Security Premium
CWSCWS
WSAWSA
Web usage controls
Malware scanning
Secure mobility
Web usage controls
Malware scanning
Web reporting application
42© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Security Management Appliance: reporting for Web and Email Security
Centralized ReportingCentralized Management
In-depth Threat Visibility
Extensive Forensic CapabilitiesCentralized Policy
ManagementDelegated
Administration
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Newest product features and roadmap
44© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
45© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Anti-SnowshoeSteps to take in battling spam
“Maintain leadership in anti-spam efficacy through ever-changing threat landscape to protect our customers and keep ahead of the competition”
Sensor footprint expansion for early awareness of snowshoe campaigns
Increase automation and auto-classification of emails for faster response
Better defense against Snowshoe spam through enhanced Contextual analysis
46© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Graymail management
Threat Defense Security Graymail Detection
BulkSocial
Network Marketing
Quarantine
• Whitelist – Allow Sender• Blacklist – Block Sender• Release – Safe unsubscribe
Block
Add Safe Unsubscribe Link
Verdict
RequestReputation
Filter
Anti-spam
Anti-virus
AdvancedMalwareProtection
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Web Interaction TrackingEnabling tracking of URLs rewritten by policy
G
App 1 App 2 App 5App 3
App 4
App 6 App 7
Rewritten URL: 2asyncfs.comClick Time: 09:23:25 12 Jan 2015Re-write reason: OutbreakAction taken: Blocked
Rewritten URL: 5asynxsf.comClick Time: 11:01:13 09 Mar 2015Re-write reason: PolicyAction taken: Allowed
Rewritten URL: 8esynttp.comClick Time: 16:17:44 15 Jun 2015Re-write reason: OutbreakAction taken: Blocked
User A
User B
User C
Potentially malicious URLs
Filtering
Rewritten URLs
Monitor users from a single pane of glass
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WSA
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Acquires important context and identity from the network
Monitors and provides visibility into unauthorized access
Cisco® ISE provides differentiated access to the network; Cisco TrustSec® provides segmentation throughout the network; Cisco Web Security Appliance provides web security and policy enforcement
Consistent Secure Access Policy
Who: DoctorWhat: LaptopWhere: Office
Who: DoctorWhat: iPadWhere: Office
Who: GuestWhat: iPadWhere: Office
Cisco Identity Service Engine
WSA
Confidential Patient Records
Internal Employee Intranet
Internet
Combining the power of ISE with WSA
50© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Time and volume quotas
100100101001000100100100100001010101110110010100101001010010101001001001001001010010010010100011
101001010101001000100011110101010010010
101001010101001000100011110101010010010
101001010101001000100011110101010010010
• Control web usage to meet administrative policies, such as:
• Total bandwidth used during work hours
• Total bandwidth per day used for social media categories
• Configure polices to restrict access based on the amount of data (in bytes) and time
• Quotas are applicable to HTTP, HTTPS, and FTP traffic
• Configured under access policies and decryption policies
• Create custom end-user notifications of warnings when a quota is close, as well as when exceeded
51© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Cisco Web and Email Security roadmap
Visibility Driven Threat Focused Platform Based
Recent Releases
WSA & ISE Integration
WSA Time and Volume Quotas
Email Web Interaction Tracking
Email Graymail Management
CWS Premium with AMP & CTA
WSA with AMP & CTA
Email and TG Integration
WSA & CWS Unified Reporting
WSA CARP
Email TLS 1.2 Support
Current Projects
CWS & WSA Cloud Access Security
CWS & WSA Cloud Access Security
CWS ISR 4k IWAN
Future Email Url Tracking through Message Tracking
Email Shortlinks CWS & WSA Hybrid
Many of the products and features described herein remain in varying stages of development and will be offered on a when-and-if-available basis. This roadmap is subject to change at the sole discretion of Cisco, and Cisco will have no liability for delay in the delivery or failure to deliver any of the products or features set forth in this document.
52© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
What to do next
Cisco.com/go/websecurity
Cisco.com/go/emailsecurity
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