IBM's Autonomous Security for Cloud solution
to help organizations transition to cloud-based environments using
Amazon Bedrock's generative artificial intelligence (AI) to
streamline and automate security and compliance tasks
ARMONK,
N.Y., Nov. 14, 2024 /PRNewswire/ -- IBM
(NYSE: IBM) today announced Autonomous Security for Cloud (ASC), an
AI-powered solution from IBM Consulting designed to automate cloud
security management and decision-making to help mitigate risk for
organizations accelerating their cloud journey on Amazon Web
Services (AWS) environments.
Highlighted in IBM's 2024 Cloud Threat Landscape report,
misconfigurations and compliance failures were identified as the
top threats organizations face as they increasingly rely on cloud
computing environments. Yet, in a technology landscape where
security is non-negotiable, maintaining compliance and security can
be complex, especially in highly regulated industries such as
financial services, manufacturing and the public sector where
legacy, labor-intensive compliance processes can be slow to evolve
to rapidly changing cloud infrastructures and the strict regulatory
standards required to protect data.
For organizations focused on cloud-based architectures, security
management requires robust and specific policies and configurations
to mitigate potential risks. To address those needs, IBM's ASC
solution will leverage Amazon Bedrock generative AI technology to
automate, evolve and enforce client-chosen security controls
quickly.
"Insights from theCUBE Research shows that 96% of organizations
continue to embrace cloud transformation, which intensifies the
challenge of managing and securing data," said Dave Vellante, Chief Analyst and co-founder of
theCUBE Research. "Generative AI-driven automation has the
potential to be a game-changer, empowering companies to swiftly
adapt, enforce, and control data policies."
Using generative AI, automation to alleviate cloud security
management challenges
Using generative AI for autonomous
decisions, ASC aims to help ease operational burdens, accelerate
deployment and management and mitigate risks by offering continuous
monitoring, immediate adjustments and proactive threat mitigation,
all designed to minimize manual work. Augmenting traditional Cloud
Security Posture Management (CSPM) solutions, ASC will provide a
tailored approach to cloud security management by harnessing
AI-powered intelligence to consider the client-chosen control
framework, along with future updates. In addition, the ASC solution
is designed to automate and enforce hygiene maintenance, resolve
misconfigurations, and reduce and address long-term policy
drift.
"IBM recognized the opportunity for our clients to better manage
and enforce security policies in their cloud environments," said
Dimple Ahluwalia, Global Business
Information Security Officer and Senior Partner for Cybersecurity
Services at IBM. "With ASC, we're utilizing AI and automation tools
to help organizations better manage their data, tackle cloud
migration challenges and positively impact their compliance
posture, to deliver value to stakeholders across the C-suite."
As a scalable cloud solution, ASC is designed to help
clients:
- Harness the power of generative AI to understand clients'
security policies and standards using large language models (LLMs)
and retrieval-augmented generative (RAG) applications;
- Infer AWS native technical controls that apply to an
organization's workloads based on the client-chosen regulatory
obligations;
- Autonomously monitor and deploy cloud security controls to
mitigate misconfigurations; and,
- Address their non-compliance discrepancies using cloud-native
automation.
And, for client security teams that spend months mapping
security policies, aligning them with regulations and transforming
them into scripts, ASC also seeks to accelerate the time spent on
policy deployment using a combination of generative AI and
cloud-native automation.
Accelerating Cloud Transformation with IBM and AWS
The
introduction of ASC underscores IBM's commitment to helping mutual
clients harness the power of AWS. By combining IBM's expertise in
cloud transformation with AWS, ASC will allow clients to accelerate
their cloud adoption and unlock new opportunities for business
transformation and growth.
Beginning with deployment and onboarding, IBM consultants with
cloud certifications and AWS expertise can assist clients utilizing
ASC with tailored assessments, continuous monitoring and
optimization, and proactive risk and compliance management. In
addition, IBM Consulting can support ASC integration on AWS to
address client's evolving cloud infrastructure needs with the goal
of improving accuracy and effectiveness over time.
IBM's ASC solution will be generally available globally
beginning in December 2024 and
showcased during an AWS re:Invent 2024 session titled, "Harnessing
AI for Autonomous Cloud Security: IBM & AWS Game-Changing
Solution." For more information on IBM's Autonomous Security for
Cloud solution, visit:
https://www.ibm.com/services/autonomous-security-cloud.
Statements regarding IBM's future direction and intent are
subject to change or withdrawal without notice and represent goals
and objectives only.
About IBM
IBM is a leading provider of global hybrid
cloud and AI, and consulting expertise. We help clients in more
than 175 countries capitalize on insights from their data,
streamline business processes, reduce costs and gain the
competitive edge in their industries. More than 4,000 government
and corporate entities in critical infrastructure areas such as
financial services, telecommunications and healthcare rely on IBM's
hybrid cloud platform and Red Hat OpenShift to affect their
digital transformations quickly, efficiently and securely. IBM's
breakthrough innovations in AI, quantum computing,
industry-specific cloud solutions and consulting deliver open and
flexible options to our clients. All of this is backed by IBM's
long-standing commitment to trust, transparency, responsibility,
inclusivity and service.
Visit www.ibm.com/ for more information.
IBM Contacts:
Joel Rushing
Joel.Rushing@ibm.com
Alex Prevor
Alexandra.Prevor@ibm.com
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