$1.1
trillion is being invested in the US by other countries. The Saudis are
providing $600B of this investment. The plan is to build facilities to generate
and maintain AI Software for high-speed processing. The Energy required to
increase processing speed will come from Small Nuclear Power Plants on-site in
these facilities.
Cyber
Security is required.
IBM®
Guardium® Data Security Center helps you manage the data security lifecycle,
from discovery to remediation, and empowers multi-disciplinary teams to
effectively manage data vulnerabilities and risks. It offers five modules to
protect data across all data types and environments.
Unveil
Critical Cloud Security Hurdles
Remain
aware of obstacles in application development and cloud security as
organizations strive to optimize processes and safeguard data assets. Our
research revealed the following:
·
61%
of organizations fear AI-powered attacks compromise sensitive data.
·
33%
struggle to keep up with rapid technology changes and evolving threats.
·
91%
of respondents say point tools create blind spots affecting threat prevention.
·
54%
cite complexity and fragmentation in cloud environments as a top data security
problem.
We
are pleased to present Red Canary’s 2024 Threat Detection Report. Our sixth
annual retrospective, this report is based on in-depth analysis of nearly
60,000 threats detected across our 1,000+ customers’ endpoints,
networks, cloud infrastructure, identities, and SaaS applications over the past year.
This
report provides you with a comprehensive view of this threat landscape,
including new twists on existing adversary techniques, and the trends that our
team has observed as adversaries continue to organize, commoditize, and ratchet
up their cybercrime operations.
As
the technology that we rely on to conduct business continues to evolve, so do
the threats that we face. Here are some of our key findings:
·
Everyone
is migrating to the cloud, including bad guys: Cloud
Accounts was
the fourth most prevalent ATT&CK technique we detected this year,
increasing 16-fold in detection volume and affecting three times as many
customers as last year.
·
Despite
a spate of new CVEs, humans remained the
primary vulnerability that adversaries took advantage of in 2023. Adversaries
used compromised identities to access cloud
service APIs,
execute payroll fraud with email
forwarding rules,
launch ransomware attacks, and
more.
·
While
both defenders and cybercriminals have discovered use cases for generative
artificial intelligence (GenAI), we see defenders as having the edge.
·
Container
technology is omnipresent, and it’s as important as ever to secure your Linux
systems to
prevent adversaries from escaping
to host systems.
·
Mac
threats are no myth–this year we saw more stealer
activity on
macOS environments than ever, along with instances of reflective
code loading and AppleScript
abuse.
·
Often
dismissed, malvertising threats delivered payloads far more serious than
adware, as exemplified by the Red Canary-named Charcoal
Stork,
our most prevalent threat of the year, and related malware ChromeLoader and SmashJacker.
·
Our
new industry
analysis showcases
how adversaries reliably leverage the same small set of 10-20 techniques
against organizations, regardless of their sector or industry.
We
also check back on the timeless threats and techniques that are
prevalent year-after-year, explore emerging ones that are worth keeping an eye
on, and introduce two new free tools that security
teams can start using immediately.
Use
this report to:
·
Explore
the most prevalent and impactful threats, techniques, and trends that we’ve
observed.
·
Note
how adversaries are evolving their tradecraft as organizations continue their
shift to cloud-based identity, infrastructure, and applications.
·
Learn
how to emulate, mitigate, and detect specific threats and techniques.
·
Shape
and inform your readiness, detection, and response to critical threats.
Behind
the data Methodology
The
Threat Detection Report sets itself apart from other annual reports with its
unique data and insights derived from a combination of expansive detection
coverage and expert, human-led investigation and confirmation of threats. The
data that powers Red Canary and this report are not mere software signals—this
data set is the result of hundreds of thousands of expert investigations across
millions of protected systems. Each of the nearly 60,000 threats that we
responded to have one thing in common: These threats weren’t prevented by our
customers’ expansive security controls—they are the product of a breadth and
depth of analytics that we use to detect the threats that would otherwise go
undetected.
Comments
Using
AI to train a programmable robot is probably not a risk. Using AI to streamline
automated payments within your Operating System and Business Databases should
be controllable with strong Cyber Security capability. Making the Cloud
non-hackable looks difficult. Developing something like the Israelis used
against Hizballah looks promising. We need to avoid “never-ending Measures and
Countermeasures”.
Norb
Leahy, Dunwoody GA Tea Party Leader