Got hacked? It’s too late to run now!

•

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When a cyber security incident occurs, you need to understand exactly how the attack happened, so you can plan the best way to respond. Earlier this week, we hosted a webinar where our cyber security expert, Janne Kauhanen, talked about incident response. Article URL: https://business.f-secure.com/got-hacked-cyber-security-webinar4

Software

GOT HACKED?
IT’STOO LATE
TO RUN NOW.
Janne Kauhanen
Twitter: @JKauhanen

360° OFCYBER SECURITY
2
MINIMIZE ATTACK
SURFACE
PREVENT
INCIDENTS
UNDERSTAND YOUR RISK,
KNOW YOUR ATTACK SURFACE,
UNCOVER WEAK SPOTS
REACT TO BREACHES,
MITIGATE THE DAMAGE,
ANALYZE AND LEARN
RECOGNIZE INCIDENTS
AND THREATS, ISOLATE
AND CONTAIN THEM

AGENDA
3
 Definitions
 Threat detection, a short summary
 Why do you get hacked?
 What to do when you get hacked?
 Incident Response process
 Forensics
 Incident Response capabilities you should (and shouldn’t) have
 Crisis management

SECURITY INCIDENTS
Hacker actions
4
Information leak Widespread
malware infection
Internal
misbehavior
(unintentional
included)

"ASECURITY INCIDENT IS
ANYKINDOFACTION
THAT RESULTS INACHANGE
TOAKNOWN GOOD STATE.“
KURTHAGERMAN,CISO,ARMORDEFENSEINC.
5

THEDOS ANDDON’TS OF
THREAT DETECTION
RECAPOFWEBINAR#3
6

WHYDIDIGETHACKED?
7
"DRIVE BY" &
SCRIPT KIDDIES
FOCUS
SKILL
TARGETED
ATTACKS
IDENTITY
THEFT, 0DAY
EXPLOITS
ADVANCED
PERSISTENT
THREATS

INCIDENT RESPONSE PROCESS
16
Briefing Identification Containment Recovery Aftermath

INCIDENT RESPONSE PROCESS
17
Briefing Identification Containment Recovery Aftermath

INCIDENT RESPONSE PROCESS
18
Briefing Identification Containment Recovery Aftermath

INCIDENT RESPONSE PROCESS
19
Briefing Identification Containment Recovery Aftermath

INCIDENT RESPONSE PROCESS
20
Briefing Identification Containment Recovery Aftermath

FORENSICINVESTIGATION
1. HOW WAS THE DEVICE BREACHED?
‒ WHAT WAS THE ROOT CAUSE?
2. HOW DID THE ATTACKER COMMUNICATE WITH THE DEVICE?
‒ IS THE ATTACKER STILL ABLE TO COMMUNICATE WITH THE DEVICE?
3. WAS THE ATTACKER ABLE TO MOVE BEYOND THIS DEVICE?
‒ IS THERE A WAY TO DETECT INFECTED DEVICES?
4. WAS DATA EXFILTRATED FROM THE DEVICE?
‒ HOW MUCH DATA, WHAT KIND OF DATA, AND WHERE DID IT GO?
21

IN-HOUSE CAPABILITIES
26
What kind of
capabilities should I
have in-house?
Is there anything I
should not try to do
myself?

“BYFAILING TOPREPARE
YOUARE PREPARING TOFAIL”
BENJAMINFRANKLIN
27

 Scenarios based on real life,
adjusted to target organization
 GameMaster monitors actions
and generates additional
inputs
28
CRISIS MANAGEMENT
EXERCISE

THERE ARETWO TYPES OF
COMPANIES:
THOSE WHOHAVE BEEN
BREACHED, AND THOSE WHO
DON’T KNOW IT YET.
29

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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

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Modeling languages are generally applied for developing systems and software – both internally, with domain-specific languages, and with standardized languages targeting a general purpose and a wide audience. Way too often these languages are weakly created and defined leading to poor quality: Language definitions tend to contain errors and inconsistencies; notations do not recognize the communication and problem-solving needs of humans; standardization organizations push exchange formats that do not fully work and offer certificates that do not measure mastery of the language. We describe common problems in language development and point them out with examples from known cases. To overcome these problems, we suggest several solutions to improve language development, including using modeling languages specifically designed to define modeling languages, continuous testing and prototyping, and keeping language users in the loop.

What Goes Wrong with Language Definitions and How to Improve the Situation

Juha-Pekka Tolvanen

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ADR, or Architecture Decision Record, is a valuable tool in software development for several reasons. It provides a centralized location for documenting and tracking architectural decisions, aiding both current and future team members. ADRs enhance communication among team members by documenting the rationale behind architectural decisions, especially beneficial during onboarding of new team members or when revisiting decisions. They serve as a knowledge base, enabling teams to learn from past decisions and refine their decision-making process. Additionally, ADRs contribute to transparency by helping stakeholders understand the reasons behind specific architectural choices. As with any other tool or process, introducing them into an organization can face several obstacles, and overcoming these challenges is crucial for successful implementation. In this talk I go through some common problems and our way of solving them.

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